https://aclweb.org/aclwiki/api.php?action=feedcontributions&user=Joeltetreault&feedformat=atomACL Wiki - User contributions [en]2024-03-28T22:08:56ZUser contributionsMediaWiki 1.35.2https://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=10266Employment opportunities, postdoctoral positions, summer jobs2013-09-27T20:36:34Z<p>Joeltetreault: </p>
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<br />
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==<br />
<br />
* Employer: Nuance Communications, Inc.<br />
* Rank or Title: NLP Research Scientist<br />
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems<br />
* Location: Sunnyvale, CA, USA<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: September 27, 2013<br />
* Contact email: Jennifer.Garvale@nuance.com <br />
<br />
'''General Description'''<br />
<br />
Nuance is the world-wide leader in voice technologies. We are now making substantial research and development investments to add natural language processing capabilities to our speech infrastructure. We are expanding our new Silicon Valley Natural Language Research laboratory. The goal of this group is to develop the next generation of intelligent, conversational agents. We seek research scientists with the following backgrounds:<br />
<br />
* Dialog processing<br />
* Discourse and anaphora resolution<br />
* Generation<br />
* Parsing <br />
* Entity recognition<br />
* Morphology<br />
* Multilingual NLP<br />
* Semantic interpretation<br />
<br />
'''Responsibilities'''<br />
<br />
* Ownership of a major component of the conversational system. <br />
* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field. <br />
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.<br />
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products. <br />
* Design components in a way that will generalize across domains. Minimize the code change and human effort needed for the system to work in a new domain.<br />
* Collaborate with other scientists and engineers inside and outside of the team.<br />
* Patent or publish experimental results or designs when appropriate. <br />
<br />
'''Education/Experience'''<br />
* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.<br />
* Solid track record in both projects and publications for natural language processing.<br />
* Solid implementation skills in C++, Java, scripting languages. <br />
* Knowledge of both statistical and rule-based methods for natural language processing.<br />
<br />
<br />
Interested candidates should contact Jennifer Garvale at Jennifer.Garvale@nuance.com. For additional information about the technical aspects of the position, feel free to contact Joel Tetreault at Joel.Tetreault@nuance.com.<br />
<br />
<br />
<br />
== Short Term Post-Doc Position: Natural Language Processing (NLP), Phoenix, USA==<br />
<br />
Employer: Arizona State University, Tempe, AZ http://csc.asu.edu/<br />
* Rank or Title: Postdoctoral fellow<br />
* Specialty: Natural language processing and machine learning<br />
* Location: Tempe, AZ, USA<br />
* Deadline: August 21, 2013<br />
* Date Posted: August 8, 2013<br />
* Contact email: hdavulcu at asu,edu and steve.corman at asu,edu<br />
<br />
<br />
Position<br />
<br />
Seeking a Post-Doc with preparation in natural language processing (NLP), machine learning (ML) for quantitative text and discourse analysis at Center for Strategic Communication, Arizona State University, Tempe Campus.<br />
<br />
The project involves parsing large collection of English documents with a deep parser, extracting subject-verb-object triplets from sentences, and utilization of semantic information for event and story detection. Project also involves development of graph clustering based summarization tools for text.<br />
<br />
The Center is a fun, collaborative group providing many opportunities for learning, hands-on research and teamwork. We value having a diverse mix of people and we are committed to equal opportunity in employment.<br />
<br />
Candidates should have excellent English language skills (written and spoken), good communication skills, good programming skills (e.g., Java, C++, MATLAB, Python) and demonstrable ability to work with various open source NLP and ML tools and libraries.<br />
<br />
<br />
Requirements: PhD degree in Computer Science or Computational Linguistics<br />
<br />
Pay Rate: Competitive monthly salary.<br />
<br />
Term of employment: <br />
This is a Short-term, temporary position. <br />
Period between September 3, 2013 and February 28, 2014.<br />
<br />
Close Date:<br />
Initial close date is August 21, 2013. Applications will continue to be accepted and reviewed every week thereafter until search is closed.<br />
<br />
<br />
How to Apply: <br />
<br />
Please submit your information by email to hdavulcu at asu,edu and steve.corman at asu,edu <br />
E-mail subject line - “Natural Language Processing – Post-Doc application”.<br />
<br />
Information must have the following:<br />
* Cover Letter<br />
* CV <br />
* 2 or more professional references (name, addresses and phone numbers)<br />
<br />
== Postdoctoral Fellow Machine Reading, KU Leuven, Belgium==<br />
<br />
Employer: Katholieke Universiteit Leuven, Belgium http://www.kuleuven.be/<br />
* Rank or Title: Postdoctoral fellow<br />
* Specialty: Natural language processing and machine learning<br />
* Location: Leuven, Belgium<br />
* Deadline: July 5, 2013<br />
* Date Posted: June 9, 2013<br />
* Contact email: Sien.Moens@cs.kuleuven.be<br />
<br />
Position<br />
<br />
Applications are invited for the position of a postdoctoral research fellow specialized in natural language processing and machine learning to join the Language Intelligence and Information Retrieval group of Prof. Marie-Francine Moens at the Department of Computer Science at KU Leuven, Belgium.<br />
The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The MUSE project introduces a new way of exploring and understanding information by “bringing text to life” through 3D interactive storytelling. Taking as input natural language text like children’s stories or medical patient education materials, MUSE will process the natural language, translate it into formal knowledge that represents the actions, actors, plots and surrounding world, and then render these as virtual 3D worlds in which the user can explore the text through interaction, re-enactment and guided game play. The focus of the postdoctoral research at KU Leuven will be on semi-supervised and unsupervised models for machine reading (MR) when translating the content of text to knowledge representations. A possible additional focus is on scalable inference and learning. The position ideally starts September 1, 2013. Funding for this position is currently available for 2 years. <br />
<br />
Requirements<br />
<br />
Applicants have a PhD degree in computer science or related areas, and a strong background in NLP and machine learning. Research experience is desirable in one or more of the following fields: information extraction, semi- and unsupervised parsing, graphical models, structured learning, language modeling, and related domains. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.<br />
<br />
Information<br />
<br />
For more information contact Marie-Francine Moens, tel.: +3216325383, mail: sien.moens@cs.kuleuven.be.<br />
You can apply for the postdoctoral position by sending your CV and publication list to: sien.moens@cs.kuleuven.be.<br />
<br />
== Research Scientist Positions, NLP and Speech ==<br />
<br />
Employer: Educational Testing Service http://www.ets.org/<br />
* Rank or Title: Research Scientist<br />
* Specialty: Natural Language Processing<br />
* Location: Princeton, NJ or San Francisco, CA<br />
* Deadline: Until position is filled<br />
* Date Posted: 22 May 2013<br />
* Contact email: dyanchuk@ets.org<br />
<br />
<br />
Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education, and government, we are determined to advance educational excellence for the communities we serve.<br />
<br />
<br />
ETS Research & Development has openings for Research Scientists at all levels in Natural Language Processing and Speech Group. The ongoing projects in this group focus on natural language processing for topics including automated evaluation of writing and speaking assessments. ETS aims to expand these current research directions, as well as pursuing groundbreaking research in new areas:<br />
* The incoporation of interactive tasks into assessment environments, using technologies for dialog management and analysis.<br />
* The automated induction of rhetorical structures from student responses, including argumentation strategies, narrative organization, and topical analyses.<br />
* Automated analysis of process data related to student performance on immersive assessment tasks (such as in a game-based environment).<br />
<br />
<br />
This is an excellent opportunity to be a part of a research and development team and have a significant impact on existing and next generation assessments.<br />
<br />
<br />
'''PRIMARY RESPONSIBILITIES'''<br />
<br />
<br />
• Pursue or collaborate in interdisciplinary projects, transferring techniques to a new context or connecting scientific fields that are usually separate. Successful candidates are self-motivated and self-driven, and have a strong interest in emerging technology that can contribute to education in assessment and instructional settings.<br />
<br />
• Provide scientific and technical skills to conceptualize, design, obtain support for, conduct, and manage new research projects, grants, or parts of existing projects.<br />
<br />
• Generate or contribute to new or modified methods that support research and development in the automated analysis of student responses as well as other written or spoken materials relevant in assessment and instructional settings.<br />
<br />
• Design and conduct scientific studies, functioning as an expert in the major facets of the projects; respond as a subject matter expert in presenting the results of acquired knowledge and experience. Consult and collaborate on problems arising from research and/or testing programs, or corporate management concerns.<br />
<br />
• Develop or assist in developing proposals for external and internal research grants and obtain financial support for new or continuing research activities. Prepare initial and final proposal and project budgets.<br />
<br />
• Participate in dissemination activities through the publications of research papers in peer-reviewed journals and in the ETS Research Report series, the issuing of progress and technical reports, the presentation of seminars at major conferences and at ETS, or the use of other appropriate communication vehicles, including books and chapters, that impact practice in the field or at ETS.<br />
<br />
• Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
• Consult on ETS projects or external contracts that related to the research focus of the group.<br />
<br />
<br />
'''Required Experience:''' <br />
<br />
<br />
'''REQUIREMENTS FOR A JUNIOR LEVEL POSITION'''<br />
<br />
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member.<br />
<br />
'''REQUIREMENTS FOR A MID-LEVEL POSITION'''<br />
<br />
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Three years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.<br />
<br />
'''REQUIREMENTS FOR A SENIOR-LEVEL POSITION'''<br />
<br />
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Eight years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.<br />
<br />
<br />
About the Center for Assessment Innovation: The NLP and Speech Group focuses on automated scoring of text and speech, support for technologically-enhanced assessment methods, and the application of NLP and speech technology to educational problems generally. The group builds partnerships and collaborations with other institutions. External grants are pursued, and internally-funded fundamental research and capability development is also supported.<br />
<br />
<br />
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.<br />
<br />
== Research Assistant Positions, NLP ==<br />
<br />
Employer: Educational Testing Service http://www.ets.org/<br />
* Rank or Title: Research Assistant<br />
* Specialty: Natural Language Processing<br />
* Location: Princeton, NJ <br />
* Deadline: Until position is filled<br />
* Date Posted: 22 May 2013<br />
* Contact email: dyanchuk@ets.org<br />
<br />
<br />
ETS Research & Development has an opening for a Research Assistant in the Natural Language Processing Group. A primary focus of the area is to contribute to externally-funded projects as well as provide service to the program areas of ETS, including new applications of automated scoring technologies. The successful candidate will contribute to internal projects aimed at developing assessment and automated scoring innovations. The successful candidate will also contribute to external projects aimed at developing methodologies to support natural language processing technologies.<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
<br />
'''Project Management/Leadership'''<br />
<br />
Complete Linguistic annotations of text, develop and apply scoring schemes to short answer responses, assist research scientitsts in constructing models and documenting procedures.<br />
<br />
Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).<br />
<br />
Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.<br />
<br />
Schedule services with other ETS departments, staff and vendors.<br />
<br />
Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.<br />
<br />
Research Design, Data Collection and Analysis<br />
<br />
Assist in developing and refining research instruments.<br />
<br />
Assist in developing procedures for data collection. Edit and proof coding systems and manuals.<br />
<br />
Administer research instruments such as assessments, surveys, observations, and interviews.<br />
<br />
Instruct support staff on procedures for data collection, data entry and check work.<br />
<br />
Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.<br />
<br />
Perform basic data analyses; Compile simple results.<br />
<br />
Prepare charts, tables, figures, and graphics for reports and presentations.<br />
<br />
<br />
'''Communication'''<br />
<br />
Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.<br />
<br />
Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.<br />
<br />
Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.<br />
<br />
Assist in developing presentations and present as part of a team.<br />
<br />
Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.<br />
<br />
Experience in using data analyses software.<br />
<br />
<br />
'''Required Experience:''' <br />
<br />
<br />
'''EDUCATION'''<br />
<br />
A Bachelor's degree in linguistics or a closely related field, with coursework in statistics or research methods, phonetics & phonology, syntax & semantics, and/or language acquisition is necessary.<br />
<br />
'''EXPERIENCE'''<br />
<br />
Six months of research-related experience is necessary.<br />
<br />
Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.<br />
<br />
<br />
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.<br />
<br />
<br />
<br />
== Senior Research Scientist - Xerox Research Centre Europe ==<br />
<br />
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/<br />
* Rank or Title: Senior Research Scientist<br />
* Specialty: Statistical Natural Language Processing, Machine Learning<br />
* Location: Grenoble, France<br />
* Deadline: 31 July 2013 or until position is filled<br />
* Date Posted: 2 May 2013<br />
* Contact email: James.Henderson@xrce.xerox.com<br />
<br />
'''Position Description'''<br />
<br />
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning for NLP. The ideal candidate would have experience or knowledge of parsing, information extraction, weak supervision, textual entailment, and combining machine learning with expert knowledge. Awareness of the healthcare domain is a plus. The applicant should have a strong publication record and good coding skills. The seniority of the appointment will depend on qualifications.<br />
<br />
The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact. Senior researchers are expected to also lead research projects. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide. <br />
<br />
The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information, including facts and opinions. The solutions we develop play a key role in Xerox's next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.<br />
<br />
XRCE is located in Grenoble, France, in the heart of the French Alps. Grenoble offers an excellent quality of life and a large scientific community. For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Senior-Research-Scientist-in-Statistical-Natural-Language-Processing.<br />
<br />
'''Requirements''' <br />
<br />
* PhD in Computer Science or Computational Linguistics<br />
* NLP knowledge and experience<br />
* Machine learning knowledge or experience <br />
* Strong publication record<br />
* Programming skills <br />
* Strong written and oral communications skills in English<br />
<br />
'''Application instructions '''<br />
<br />
Applications will be considered as they are received. To ensure that an application receives full consideration it should be submitted by '''July 31, 2013'''. Applications will be considered beyond this date until the position is filled.<br />
<br />
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com. <br />
<br />
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation. <br />
<br />
<br />
== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==<br />
<br />
* Employer: Qatar Computing Research Institute (http://www.qcri.qa)<br />
* Rank or Title: Intern/Research associate/Research assistant<br />
* Specialty: Information retrieval, text mining, natural language processing<br />
* Location: Doha, Qatar<br />
* Deadline: May 31, 2013<br />
* Date Posted: March 15, 2013<br />
* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa<br />
<br />
'''POSITION DESCRIPTION'''<br />
<br />
The NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.<br />
<br />
'''INTERNSHIP TASKS INCLUDE'''<br />
* Development of effective techniques for information filtering from social media<br />
* Diversity analysis, categorization, and summarization of search results<br />
* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search<br />
* Web design/development of visualization schemes for social search results<br />
* Conducting project-related research work supervised by scientists in the team<br />
<br />
'''EXPECTED APPLICANTS SHOULD BE/HAVE'''<br />
* PhD/Master students in computer science or related field<br />
* At least 1-year research experience<br />
* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.<br />
* Background in social network analysis and/or natural language processing is a plus<br />
* Basic knowledge of Arabic language can help but is not mandatory<br />
* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)<br />
<br />
'''INTERNSHIP NATURE'''<br />
<br />
Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents. <br />
<br />
Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.<br />
<br />
'''ABOUT QCRI'''<br />
<br />
Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.<br />
<br />
QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.<br />
<br />
'''APPLICATION'''<br />
<br />
Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now<br />
<br />
For more information, please visit: <br />
http://www.qcri.qa<br />
http://qcri.qa/our-research/arabic-language-technologies<br />
<br />
<br />
== Postdoctoral fellow -- KU Leuven ==<br />
<br />
* Employer: Department of Computer Science, KU Leuven, Belgium<br />
* Rank or Title: Postdoctoral fellow<br />
* Specialty: Information extraction, natural language understanding, machine reading<br />
* Location: Leuven, Belgium<br />
* Deadline: Until position fills<br />
* Date Posted: April 13, 2013<br />
* Contact email: Sien.Moens@cs.kuleuven.be<br />
<br />
'''Position description'''<br />
The Language Intelligence and Information Retrieval group, which is part of the Department of Computer Science at KU Leuven (http://www.cs.kuleuven.be/groups/liir/), has an open postdoctoral position for a motivated researcher with interest and expertise in information extraction from text. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and can show his or her expertise through several publications in major conferences or journals in the fields of computational linguistics, machine learning and/or artificial intelligence.<br />
The position will be for two years starting in the Summer of 2013 or earlier. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team. <br />
<br />
'''Application instructions '''<br />
<br />
Please send your application to Marie-Francine Moens (Sien.Moens@cs.kuleuven.be).<br />
<br />
<br />
'''Other considerations'''<br />
<br />
Situated in the heart of Western Europe, KU Leuven has been a centre of learning for almost six centuries. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied research. It is strongly inter- and multidisciplinary in focus and strives for international excellence. To this end, KU Leuven works together actively with its research partners at home and abroad.<br />
<br />
== Post-doctoral fellows -- University of Alberta ==<br />
<br />
* Employer: Department of Computing Science, University of Alberta<br />
* Rank or Title: Post-doctoral fellow<br />
* Specialty: Information Extraction<br />
* Location: Edmonton, AB, Canada<br />
* Deadline: March 15 2013, but applications are accepted until positions are filled<br />
* Date Posted: 26 February 2013<br />
* Contact email: denilson@ualberta.ca<br />
<br />
'''Position Description'''<br />
<br />
The Department of Computing Science at the University of Alberta is seeking applicants for post-doctoral fellows to work on a project related to information extraction. The ideal candidates are recent PhDs in Computer Science with strong background in information retrieval, linked open data, natural language processing, and information extraction from the web. Other areas where expertise is desirable include graph data management, network analysis, data analytics, and the semantic web.<br />
<br />
The projects will be conducted in the context of the NSERC Business Intelligence Network (http://bin.cs.utoronto.ca/), a collaborative research initiative involving several top Canadian Universities and key industrial partners IBM Canada, SAP Canada, and Palomino System Innovations Inc. <br />
<br />
The fellows will work under the supervision of PI Denilson Barbosa, within a team of PhD and MSc students, and build on ongoing work in information extraction with applications in business and environmental data. These positions will require the development of practical prototypes and proof-of-concept systems, as well as dissemination of research results in top venues. As such, emphasis should be given on the application materials to hands-on experience with large-scale datasets.<br />
<br />
Qualified candidates must hold a PhD at the time of appointment. The stipend will be in accordance with NSERC standards (CAD$ 40,000 plus benefits), with the possibility of a 10-20% top-up depending on qualifications.<br />
<br />
'''Application instructions '''<br />
<br />
To apply, send an updated CV, cover letter, and the names and official contact information (university or company email and phone number) of three references to Denilson Barbosa <denilson@ualberta.ca>.<br />
<br />
Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.<br />
<br />
'''Other Considerations'''<br />
<br />
The University of Alberta, one of Canada's largest research universities is situated in Edmonton, a metropolitan area of over one million people with a vibrant research community and an excellent standard of living. The Department of Computing Science at the University of Alberta is widely recognized as a leading CS department, both within Canada and worldwide.<br />
<br />
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.<br />
<br />
The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.<br />
<br />
<br />
== Research Scientist - Xerox Research Centre Europe ==<br />
<br />
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/<br />
* Rank or Title: Research Scientist<br />
* Specialty: Statistical Natural Language Processing<br />
* Location: Grenoble, France<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: 14 February 2013<br />
* Contact email: James.Henderson@xrce.xerox.com<br />
<br />
'''Position Description'''<br />
<br />
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning and/or information extraction (e.g. event extraction). The ideal candidate would also have experience or knowledge of textual entailment, knowledge representation, and combining machine learning with expert knowledge. The applicant should have good coding skills (e.g. Java programming), with the ability to develop research prototypes and pilots.<br />
<br />
The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide. <br />
<br />
The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services. <br />
<br />
See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities<br />
<br />
'''Requirements''' <br />
<br />
* PhD in Computer Science or Computational Linguistics<br />
* NLP knowledge and experience<br />
* Knowledge or experience in machine learning or information extraction<br />
* Object oriented programming skills (e.g. java)<br />
* Strong written and oral communications skills in English<br />
<br />
'''Application instructions '''<br />
<br />
The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled. <br />
<br />
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com. <br />
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation. <br />
<br />
<br />
== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==<br />
<br />
* Employer: CNGL, Dublin City University http://www.cngl.ie <br />
* Rank or Title: PhD, Post-Doc and Research Programmer<br />
* Specialty: Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics<br />
* Location: Dublin, Ireland<br />
* Deadline: February 25, 2013<br />
* Date Posted: January 30, 2013 <br />
* Start Date: March, 2013<br />
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)<br />
* Contact email: dgroves@computing.dcu.ie<br />
<br />
'''For More Details'''<br />
<br />
http://www.cngl.ie/vacancies.html<br />
<br />
'''Position Description'''<br />
<br />
CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.<br />
<br />
CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize. <br />
<br />
CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.<br />
<br />
The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.<br />
<br />
DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.<br />
<br />
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.<br />
<br />
'''PhD Studentships'''<br />
<br />
*Parsing, Analytics and Information Extraction:<br />
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.<br />
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.<br />
*Information Retrieval:<br />
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications<br />
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources<br />
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis <br />
**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content<br />
*Machine Translation:<br />
**Syntax- and Semantics-Enhanced Machine Learning Based MT<br />
**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search <br />
**Human interaction with MT output: Usability, Acceptability, Post-editing Research<br />
**MT and Multimodal Interaction<br />
**MT for Multimodal Cross Language Information Retrieval<br />
<br />
'''Post-Doctoral Positions'''<br />
<br />
*Parsing, Analytics and Information Extraction:<br />
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)<br />
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)<br />
*Machine Translation:<br />
**User/Human Centric MT (up to 2.5 year contract)<br />
<br />
'''Post-Doctoral Positions'''<br />
<br />
*Research Programmer (up to 2.5 year contract)<br />
<br />
For more information please see: http://www.cngl.ie/vacancies.html<br />
<br />
<br />
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==<br />
<br />
* Employer: Nara Insititute of Science and Technology <br />
http://www.naist.jp/en/<br />
* Rank or Title: Assistant Professor <br />
* Specialty: Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection<br />
* Location: Nara, Japan <br />
* Deadline: February 28, 2013<br />
* Date Posted: January 30, 2013 <br />
* Start Date: after April, 2013<br />
* Duration: 5 years (reappointment is possible)<br />
* Contact email: matsu@is.naist.jp<br />
<br />
'''For Detailed Description'''<br />
<br />
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html<br />
<br />
<br />
==Researchers - AT&T Labs Research==<br />
<br />
* Employer: AT&T Labs - Research<br />
* Rank or Title: Researchers and Research Software Engineers<br />
* Specialty: Natural Language Processing, Speech Processing, Machine Learning<br />
* Location: NJ<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: 8 January 2013<br />
* Contact email: vkumar@research.att.com<br />
<br />
'''Position Description'''<br />
<br />
AT&T Research, one of the premier industrial research laboratories in the world, is looking for<br />
talented individuals to make a difference in the world of communications. Our researchers and <br />
research software engineers are dedicated to solving real problems in speech and language <br />
processing, and are involved in inventing, creating and deploying innovative services. We also <br />
explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at <br />
all levels of experience are encouraged to apply. Candidates must demonstrate excellence in <br />
research, a collaborative spirit and strong communication and software skills. <br />
<br />
Areas of particular interest are<br />
<br />
* Large-vocabulary automatic speech recognition<br />
* Acoustic and language modeling<br />
* Robust speech recognition<br />
* Signal processing<br />
* Text-to-speech synthesis<br />
* Natural language understanding and dialog<br />
* Machine translation (speech and text)<br />
* Speaker biometrics<br />
* Voice and multimodal search<br />
* Software engineering for speech and language processing<br />
<br />
Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).<br />
<br />
Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates <br />
are encouraged to apply. Interviews will be conducted in early 2013. For more information, <br />
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:<br />
<br />
http://www.research.att.com/evergreen/working_with_us/careers.html<br />
<br />
Candidates must demonstrate a proven research track record and the ability to identify technical<br />
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)<br />
are desired. Access to massive amounts of real-world data, the ability to work with internal and external <br />
collaborators across departments, the possibility of making an impact by developing solutions that will be used <br />
by millions, and the freedom to publish your results are some of the reasons AT&T Labs - <br />
Research is an exciting place to work. <br />
<br />
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.<br />
<br />
<br />
==Subject Matter Expert - Linguistics==<br />
<br />
Employer: Assured Information Security, Inc<br><br />
Rank or Title: Subject Matter Expert<br><br />
Specialty: Linguistics<br><br />
Location: Rome, NY 13441<br><br />
Deadline: July 17, 2013<br><br />
Date Posted: June 17, 2013<br><br />
Link to website: http://www.Click2Apply.net/6q7549z<br><br />
<br />
AIS, Inc. is currently seeking a Subject Matter Expert in SIGINT for their Rome, NY office to support customers in the areas of requirements development, testing, and system training. The candidate(s) will support and coordinate the activities of AIS research and development programs.<br />
<br />
Roles and Responsibilities<br />
<br />
* Analysis of ongoing operations to identify and document end user requirements<br />
* Identification of operational scenarios to be used in evaluating candidate prototype technologies<br />
* Testing and analysis of the interim prototype systems against operational data sets<br />
* Conduct the demonstration and evaluation of interim prototype systems to operational users<br />
* Coordination of program activities with operational site personnel<br />
* Aggregation of operational data sets to be used in support of prototype evaluations<br />
* Provide training and technical support of the prototype systems for the end users<br />
* Creation of user documentation for the products developed within the research program<br />
* Coordination with other contractors in the integration of prototype systems<br />
* Assistance with the transition of prototype capabilities into the operational environment<br />
<br />
<br />
Requirements<br />
<br />
* Candidate must have 10 or more years of SIGINT experience to include field operations, analysis and reporting, training, and evaluation<br />
* Expertise in one or more SIGINT - related disciplines<br />
* Operational SIGINT qualifications in collection and management positions<br />
* Instructor and examiner experience<br />
* Presentation development experience<br />
* Demonstrated experience with research and analysis techniques<br />
* Strong interpersonal and oral/written communication skills including the ability to write progress reports, make oral presentations, and to implement or influence implementation of operating standards, policies and procedures in the project<br />
* Experience in working with diverse groups is desired<br />
* Recent operational SIGINT field experience is highly desired<br />
<br />
Qualifications and Education Requirements<br />
<br />
An active Top Secret/SCI security clearance and current investigation are required.<br />
<br />
Preferred: Bachelor's Degree in Computer Science or related program with 8 - 12 years experience; Master's Degree in Computer Science or related program with 4 - 7 years of experience; or 16 + years of job<br />
related experience.<br />
<br />
Additional Notes<br />
<br />
AIS is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, Vietnam era or other eligible veteran status, or any other protected factor.<br />
<br />
EEO/AA employer<br />
<br />
<br />
[http://www.Click2Apply.net/6q7549z Apply Here]</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9823Employment opportunities, postdoctoral positions, summer jobs2012-11-20T22:17:08Z<p>Joeltetreault: </p>
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* Archived postings:<br />
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<br />
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==<br />
* Employer: Nuance Communications, Inc.<br />
* Rank or Title: NLP Research Scientist<br />
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems<br />
* Location: Sunnyvale, CA, USA<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: November 20th, 2012<br />
* Contact email: Jennifer.Garvale@nuance.com <br />
<br />
'''General Description'''<br />
<br />
Nuance is the world-wide leader in voice technologies. We are now making substantial research and development investments to add natural language processing capabilities to our speech infrastructure. We are expanding our new Silicon Valley Natural Language Research laboratory. The goal of this group is to develop the next generation of intelligent, conversational agents. We seek research scientists with the following backgrounds:<br />
<br />
* Dialog processing<br />
* Discourse and anaphora resolution<br />
* Multimodal generation<br />
* Parsing <br />
* Entity recognition<br />
* Morphology<br />
* Multilingual NLP<br />
* Semantic interpretation<br />
<br />
'''Responsibilities'''<br />
<br />
* Ownership of a major component of the conversational system. <br />
* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field. <br />
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.<br />
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products. <br />
* Design components in a way that will generalize across domains. Minimize the code change and human effort needed for the system to work in a new domain.<br />
* Collaborate with other scientists and engineers inside and outside of the team.<br />
* Patent or publish experimental results or designs when appropriate. <br />
<br />
'''Education/Experience'''<br />
* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.<br />
* Solid track record in both projects and publications for natural language processing.<br />
* Solid implementation skills in C++, Java, scripting languages. <br />
* Knowledge of both statistical and rule-based methods for natural language processing.<br />
<br />
<br />
Interested candidates should contact Jennifer Garvale at Jennifer.Garvale@nuance.com. For additional information about the technical aspects of the position, feel free to contact Joel Tetreault at Joel.Tetreault@nuance.com. <br />
<br />
<br />
<br />
==Postdoctoral Fellowship - Natural Language Processing==<br />
* Employer: University of Cincinnati and Cincinnati Children's Hospital Medical Center<br />
* Rank or Title: Postdoctoral Fellow - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing, Natural Language Generation<br />
* Location: Cincinnati, OH, USA<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: November 9th, 2012<br />
* Contact email Imre.Solti@cchmc.org<br />
<br />
'''Position and Requirements'''<br />
Are you a recent PhD graduate or getting ready to graduate with a degree in computational linguistics, computer science, artificial intelligence or closely related field? Do you want to apply your computational skills, machine learning and NLP experience to solve real world challenges to help patients by automating the clinical decision making? Do you have excellent command of both written and oral English, and first author peer reviewed journal publications?<br />
<br />
If the answers are yes and you would like to join our team of seven dedicated researchers, programmers and annotators then please, send your most recent CV, a brief research statement and three publications in PDF file format to: Imre.Solti@cchmc.org (include "Postdoctoral Fellow - ACL Wiki" in the subject line).<br />
<br />
We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary.<br />
<br />
'''About the Institution'''<br />
Cincinnati Children's has over one million physician-patient encounters a year and is the second largest recipient of NIH funding among children hospitals. The hospital has over 12,000 employees. The Division of Biomedical Informatics manages a state-of-the-art 500+ CPU computing cluster. The research of the Solti Lab is funded from institutional and external (NIH) grants.<br />
<br />
<br />
== Research Programmer position - speech and language processing ==<br />
* Employer: University of Minnesota<br />
* Location: Minneapolis, Minnesota, USA<br />
* Deadline: open until filled<br />
* Date posted: November 7, 2012<br />
* Duration: Minimum 2 years committment<br />
* Informal inquiries can be sent to Serguei Pakhomov at spakh001@gmail.com<br />
<br />
'''General Description'''<br />
The College of Pharamcy at the University of Minnesota is seeking a talented, pro-active and innovative individual for a Research Programmer position to work on several projects in Center for Clinical and Cognitive Neuropharmacology (C3N). C3N is engaged in conducting interdisciplinary research focused on cognitive effects of medications and neurodegenerative disorders such as Alzheimer’s disease. Computerized assessment is used to measure these cognitive effects. The successful candidate for this position will be responsible for a variety of computer-related tasks including creating and maintaining innovative computer-based neuropsychological testing applications that involve spontaneous speech and language collection and analysis. The successful candidate will also be expected to interact with graduate and undergraduate students on specific programming and research projects to meet the needs of the Center.<br />
<br />
'''Skills and characteristics'''<br />
<br />
* Education: Master’s degree in computer science, electrical engineering, computational linguistics or equivalent combination of training and experience<br />
<br />
* Required Skills: Excellent analytical, technical and problem-solving skills. Deep understanding and experience with audio and speech processing. Strong application programming skills in C/C++, Java, Python and/or Perl programming languages. Familiarity with speech recognition toolkits and APIs (e.g., HTK, Sphinx, KALDI, SRILM), acoustic analysis tools (e.g., Praat) and good understanding or experience with speech recognition and analysis technology.<br />
<br />
* Preferred skills and characteristics: Familiarity with natural language processing (NLP) techniques and toolkits (e.g., NLTK). Experience with programming applications for mobile devices. Familiarity with computerized or paper-and-pencil neuropsychological testing. <br />
<br />
* Other: The successful candidate will be a self-motivated and proactive individual, a good communicator interested in working in an academic environment. Participating in research and experimentation leading to scientific publication are not required but would be highly encouraged and supported.<br />
<br />
If you are someone who has the necessary skills and thrives on working in an exciting and dynamic research environment, please send us a letter stating your interest and qualifications, and a resume. Please use this website to apply: https://employment.umn.edu/applicants/jsp/shared/position/JobDetails_css.jsp?postingId=576008. <br />
<br />
<br />
<br />
== One Postdoctoral Position In Statistical Machine Translation - Sapienza University of Rome (Italy) ==<br />
* Employer: Sapienza University of Rome<br />
* Location: Rome, Italy<br />
* Deadline: 18th October 2012<br />
* Date Posted: 01st October 2012 <br />
* Starting date: 1st December 2012<br />
* Duration: 1+1 years<br />
* Salary: 35000-50000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month)..<br />
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).<br />
<br />
One position of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing is open in the Department of Computer Science of the Sapienza University of Rome, with a specific focus on statistical machine translation for Asian languages. The position is part of a 5-year ERC Starting Grant on multilingual Word Sense Disambiguation funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidate will participate in a frontier research project and will work in the stimulating environment of a leading and highly-active research team comprising 2 faculty members, 2 post-docs and 6 Ph.D. students.<br />
<br />
'''REQUIREMENTS/QUALIFICATIONS'''<br />
<br />
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.<br />
* Strong publication record in Statistical Machine Translation. Publication record in lexical semantics is a plus.<br />
* Willingness to coordinate and supervise part of the research work of the ERC project.<br />
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.<br />
* Fluent English. Proficiency in at least two major Asian languages. Knowledge of Italian is NOT a requirement.<br />
* Solid programming skills.<br />
<br />
'''HOW TO APPLY'''<br />
<br />
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL3-2012) in the subject line.<br />
<br />
'''ABOUT LA SAPIENZA'''<br />
<br />
The Sapienza University of Rome is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at the Sapienza. The Sapienza University is an equal opportunity employer.<br />
<br />
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''<br />
<br />
The Department of Computer Science is a modern, well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated just beside the main Sapienza University campus and is in easy walking distance of San Lorenzo, a nice lively area with lots of bookshop-cafes, bars and restaurants. Prospective candidates should not be afraid of the language barrier, as Italians are in general very friendly.<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing, in particular dialogue processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: September 26th, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC (www.ihmc.us) is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new project on dialogue processing, due to start in the coming months and run for one year initially, with extensions expected. The aim of the project is to produce a prototype conversational Companion-in-an-iPad for a brain-damaged patient in a domestic setting. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: dialogue applications experience (in NLP not ASR),<br />
<br />
▪ Substantial skills in processing corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics or some equivalent in terms of experience in natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, RDF-style data, speech-language interfaces, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, GATE, Nuance ASR, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
== NLP Research Scientist - Pacific Northwest National Laboratory ==<br />
<br />
NLP Research Scientist wanted for work impacting National Security<br />
Company: Pacific Northwest National Laboratory<br />
Job ID: 301731 http://www.jobs.pnnl.gov/ <br />
Location: PNNL - Richland, WA <br />
Contact: jill.schroeder@pnnl.gov<br />
<br />
This position requires significant contributions to the development and evolvement of natural language processing research at PNNL. The incumbent will possess skills in both natural language processing and software design and development. Expertise in natural language processing should include one or more applications including, but not limited to, information extraction, knowledge base population, machine reading, sentiment analysis and social media analytics. Software development skills should include, but are not limited to, object oriented programming and development, data modeling, building demonstrable and functional prototypes, and contributing to deployment-ready software. <br />
<br />
In carrying out these duties, the incumbent will be responsible for maintaining strategic alliances with specified clients, managing individual or small team assignments for multiple projects, performing assignments with minimal oversight, working effectively within interdisciplinary development teams, and contributing to proposals, publications and presentations. <br />
<br />
Specific responsibilities include: <br />
- apply computational linguistics approaches and algorithms <br />
- contribute to the translation of client requests and needs into a set of project requirements and tasks <br />
- contribute to software design <br />
- construct functional applications and prototypes using PHP, Perl, Python and Java <br />
- perform algorithmic development and implementation, especially as they pertain to NLP <br />
- evaluate natural language processing methods and results <br />
- develop client server and database aware applications <br />
- design and implement graphical user interfaces <br />
- develop on Linux and Windows environments <br />
- effectively manage individual tasks, schedule, workload, budget, and deadlines <br />
- contribute to technical presentations and demonstrations of designs, prototypes and operational software to existing and potential clients; group, division, and sector managers <br />
- contribute to or lead efforts in publishing research <br />
- help grow the natural language processing business portfolio through proposal writing and client engagement <br />
<br />
<br />
Responsibilities & Accountabilities: <br />
<br />
This position reports to the Technical Group manager for Knowledge Discovery and Informatics within PNNL’s National Security Directorate, and is responsible for work activity as assigned by PNNL project managers for both internal and external clients. The incumbent is expected to develop knowledge of the goals of any projects to which they are assigned and the clients they support. The incumbent is expected to maintain a customer-service focus commensurate with this position. <br />
<br />
The incumbent normally receives task instructions from their project managers, which are performed with minimal oversight. The incumbent will work both as task lead, and as a staff member under the direction of project managers and senior software scientists. The incumbent will be expected to attend regular project meetings and KDI group meetings. The incumbent may also be expected to attend offsite team meetings with other team members, clients, and users. <br />
<br />
A level II scientist contributes to the completion of project milestones by leading specific tasks of the project to meet scope, schedule and budget. Level II scientists are contributing professionals who are building a professional reputation for their technical expertise in NLP. They are expected to continue to develop their technical expertise and knowledge, and develop new skills. In addition, strong contributions to the technical content of proposals will be made. <br />
<br />
A level III scientist will lead small to moderate research projects, contribute to the completion of programs and projects, and mentor other staff members. Level III scientists will be skilled professionals able to apply existing NLP methods to new work and will maintain skills consistent with the state of the art in NLP. Level III scientists will generate ideas for new proposals and lead the development of technical content for small to medium proposals, and will contribute to scoping, scheduling and budgeting for projects. . <br />
Minimum Requirements <br />
Level II: <br />
A Bachelor's degree with 2-3 years experience or a Master's degree with 0-2 years experience or a Ph.D. is required. Expected to contribute professionally, building a professional reputation for technical expertise. Fully applying and interpreting standard theories, principles, methods, tools and technologies. All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. <br />
<br />
Level III: <br />
A Bachelor's degree with at least 5 years experience or a Master's degree with 3 years experience or a Ph.D. with 1-2 years experience is required. Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field. All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. <br />
Qualifications <br />
Professional Expertise: Expertise in NLP algorithm development and strong software design and development skills. <br />
<br />
Work-related Experience: <br />
- Demonstrated ability and willingness to perform as a team member on multiple projects simultaneously and work effectively in a fast-paced, dynamic team environment with high expectations for quality. <br />
- Experience leading project teams in research, design and development a plus. <br />
<br />
Breadth of Relevant Specialized Knowledge and Skills: <br />
- Well-developed oral and written communication skills, including ability to convey complex technical information accurately. <br />
- Above-average client interaction skills including the ability to quickly understand a client’s business needs and communicate at the proper level of detail <br />
- Proficient in the use of Windows, Macintosh, and Linux environments <br />
Preferred Education/Credential <br />
A PhD in computational linguistics is preferred. <br />
<br />
Level II: <br />
PhD in computational linguistics, natural language processing or related field within the last 5 years or Masters of Science in computer engineering, computer science or related field and 1+ years of experience in NLP within the last 5 years <br />
<br />
Level III PREFERRED: <br />
PhD in computational linguistics, natural language processing or related field and 1-2 years of experience in NLP within the last 5 years or Masters of Science in computer engineering, computer science or related field and + years of experience in NLP within the last 5 years <br />
Equal Employment Opportunity <br />
Pacific Northwest National Laboratory (PNNL) is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. <br />
Other Information <br />
This position requires the ability to obtain a federal security clearance in a timely manner. Which requires: <br />
* US Citizenship <br />
* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B. <br />
* Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). <br />
<br />
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs for 12 consecutive months can be demonstrated.<br />
<br />
== Faculty Positions (open rank) in multiple areas, particularly Biomedical NLP / Text Mining, The Ohio State University (Columbus, OH, USA) ==<br />
* Employer: The Ohio State University, Dept. of Computer Science & Engineering and Dept. of Biomedical Informatics<br />
* Rank or Title: Assistant, Associate, or Full Professor<br />
* Specialty: Multiple openings, including targeted hire in Biomedical Natural Language Processing / Text Mining<br />
* Location: Columbus, OH USA<br />
* Deadline: Review of applications will begin in November and continue until the positions are filled<br />
* Date Posted: August 30, 2012<br />
* Contact email or link to website: http://www.cse.ohio-state.edu/department/positions.shtml<br />
<br />
The Computer Science and Engineering Department at the Ohio State University seeks faculty candidates for multiple tenured or tenure-track appointments at the assistant, associate or full professor level. The department is slated for significant growth as part of a multi-year expansion in size and scope, including targeted faculty hires in core areas as well as in areas that bridge CS with other disciplines. The specific searches being conducted this year include:<br />
<br />
* One targeted position, open rank, in the area of big data, broadly defined. These include, but are not limited to, applicants that have core training in databases, systems, data analytics, or cloud computing, with experience in managing and analyzing big data stores.<br />
* One targeted position, open rank, in the area of cybersecurity, broadly defined. We are specifically interested in applicants with research interests in network security, physical layer/information theoretic security, cyberphysical systems, data privacy, cryptography, or programming language security.<br />
* One targeted position, open rank, at the interface of computer science and mathematics broadly defined. We are specifically interested in researchers working in theoretical computer science, scientific computing, or complex systems.<br />
* Multiple targeted positions, open rank, jointly searched with the Department of Biomedical Informatics. Priority consideration will be given to applicants whose research interests lie in the processing of biomedical text (e.g. NLP or text mining) as well as those interested in the multi-scale modeling and visualization of high-throughput and/or high-content molecular or image data. Outstanding applicants in other areas at the intersection of biology, clinical science, informatics, and computer science will also be considered.<br />
* In addition to the above targeted searches the department is conducting a search for an additional position (open rank) that is open to all areas of computer science and engineering.<br />
<br />
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.<br />
<br />
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.<br />
<br />
To apply, please submit your application via the online database. The link can be found at: https://www.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.<br />
<br />
Review of applications will begin in November and will continue until the positions are filled.<br />
<br />
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.<br />
<br />
== Postdoctoral Position in Natural Language Processing in Academia Sinica (Taipei, Taiwan) ==<br />
<br />
* Employer: Institute of Information Science, Academia Sinica <br />
http://www.sinica.edu.tw<br />
<br />
http://www.iis.sinica.edu.tw<br />
* PI: Lun-Wei Ku (Language Processing Group)<br />
http://www.iis.sinica.edu.tw/pages/lwku/index_en.html<br />
<br />
http://nlg18.csie.ntu.edu.tw:8080/lwku/lwku.html<br />
<br />
* Rank or Title: Post Doctorial Researcher - Natural Language Processing <br />
* Specialty: Computational Linguistics, Natural Language Processing, Information Retrieval, Machine Learning <br />
* Location: Taipei, Taiwan <br />
* Deadline: open until filled<br />
* Date Posted: August 21st, 2012 <br />
* Start Date: before October, 2012 or after April, 2013<br />
* Duration: 1+1+1 years<br />
* Contact email: lwku@iis.sinica.edu.tw <br />
<br />
'''REQUIRED''' <br />
<br />
Ph.D. in computational linguistics / natural language processing or related areas. <br />
<br />
Natural language processing / computational linguistics background. <br />
Substantial skills in programming and processing large scale corpora. <br />
<br />
Ideal: Java skills and standard statistical procedures. <br />
<br />
'''SKILLS AND EXPERIENCE'''<br />
<br />
3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project. <br />
Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies, sentiment analysis. <br />
Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, SVMLight, Weka, and similar tools. <br />
<br />
Ideal: with experience of interests in processing Asia language (ex. Chinese) <br />
<br />
'''PAYMENT'''<br />
<br />
Around 1900~2000 USD/Month, depends on the currency rate.<br />
<br />
'''HOW TO APPLY''' <br />
<br />
Apply to Lun-Wei Ku at: lwku@iis.sinica.edu.tw. Please provide your CV, publication list and contact information. <br />
<br />
Please also note the date you wish to start the job, and send your documents at your earliest convenience so we can review them asap.<br />
<br />
<br />
<br />
== Two Postdoctoral Positions in Natural Language Processing at the Sapienza University of Rome ==<br />
* Employer: Sapienza University of Rome<br />
* Location: Rome, Italy<br />
* Deadline: open until filled<br />
* Date Posted: 16th August 2012 <br />
* Starting date: fall/winter 2012<br />
* Duration: 1+1+1 years<br />
* Salary: 30000-45000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month).<br />
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).<br />
<br />
Two positions of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing are open in the Department of Computer Science of the Sapienza University of Rome. The positions are part of a 5-year ERC Starting Grant funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidates will participate in a frontier research project on multilingual lexical semantics and will work in a stimulating environment of a leading and highly-active research team including 2 faculty members, 1 postdoc and 6 Ph.D. students.<br />
<br />
'''REQUIREMENTS/QUALIFICATIONS'''<br />
<br />
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.<br />
* Strong publication record in Computational Linguistics/Natural Language Processing (see below).<br />
* Willingness to coordinate and supervise part of the research work of the ERC project.<br />
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.<br />
* Fluent English. Knowledge of Italian is NOT a requirement.<br />
* Solid programming skills: Java and practical expertise with standard NLP tools are required, knowledge of Perl/Python is a plus.<br />
<br />
Experience in research project management is a plus.<br />
<br />
'''SPECIFIC REQUIREMENTS'''<br />
<br />
* POSITION #1 (LCL1-2012): research record in computational lexical semantics, large-scale knowledge acquisition and validation, open information extraction, or data-intensive machine learning<br />
* POSITION #2 (LCL2-2012): research record in statistical machine translation, unsupervised acquisition of bilingual/multilingual lexicons, or cross-lingual methods for NLP<br />
<br />
'''HOW TO APPLY'''<br />
<br />
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL1-2012 or LCL2-2012) in the subject line.<br />
<br />
'''ABOUT SAPIENZA'''<br />
<br />
The University of Rome "La Sapienza" is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at Sapienza. The Sapienza University is an equal opportunity employer.<br />
<br />
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''<br />
<br />
The [http://w3.uniroma1.it/dipinfo/english/index.asp Department of Computer Science] is a modern and well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated in a nice lively area with lots of cafes, bars, restaurants, and at walking distance from the city centre. Prominent candidates must not be afraid of the language barrier, as Italians are in general very friendly.<br />
<br />
== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==<br />
<br />
'''Curata, Inc.'''<br />
Curata, Inc. provides easy-to-use marketing solutions for content curation and content marketing. Curata's product, Curata, allows marketers to easily find, organize and share content on specific issues or topics in order to establish thought leadership, own industry conversations and drive qualified web traffic. Curata was founded in 2007 and is headquartered in Cambridge, Massachusetts. For more information, visit www.curata.com.<br />
<br />
'''Role Description'''<br />
We are looking for an individual who enjoys building and shipping code as an engineer, first and foremost, but also enjoys prototyping new product ideas leveraging natural language processing, information retrieval, and machine learning skills. You are a fit if you enjoy experimenting with a large text corpus, innovating new product concepts, and ultimately packaging and shipping your work.<br />
<br />
In the past two years, our customer base, comprising of marketing, information services, and knowledge management professionals, have curated millions of pieces of content through our complex content procurement and processing pipeline. We release new code many times a day, and have fun continually optimizing and enhancing our product. As a start-up, we need someone who can match the high energy and enthusiasm of our team.<br />
<br />
Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.<br />
<br />
'''Responsibilities'''<br />
<br />
* Prototyping concepts and working with engineering team to see them through deployment.<br />
* Suggesting new product concepts.<br />
* Optimizing machine learning algorithms through iterative experimentation and parameter tuning.<br />
* Architect, build and maintain flexible and highly scalable web applications<br />
* Participate in the full engineering life cycle from design through implementation and deployment.<br />
* Think in terms of the end-user and design accordingly<br />
* Actively contribute to product design and feature selection discussions<br />
<br />
'''Preferred Skills and Experience'''<br />
* Significant research experience with natural language processing (NLP), information retrieval, machine learning or related fields.<br />
* Strong software development skills, preferably with web applications.<br />
* Versatile attitude towards technology -- ready and willing to learn and grow on the job.<br />
<br />
'''Location:''' Kendall Square, Cambridge, MA / Boston<br />
<br />
'''Type:''' Full-Time<br />
<br />
'''Contact:''' engmgt.jobs@curata.com<br />
<br />
== Research Fellowship at University of Aberdeen ==<br />
<br />
* Employer: University of Aberdeen<br />
* Job Title: Research Fellow in Natural Language Generation <br />
* Location: Aberdeen, UK<br />
* Deadline: 23rd July 2012<br />
* Date Posted: 11th July 2012 <br />
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664<br />
* Contact email: c.mellish@abdn.ac.uk<br />
<br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to do research on natural language generation in the MIME project. MIME (see http://www.dotrural.ac.uk/mime/ ) investigates ways to underpin reconfigured rural emergency response services, by examining how technology could support responders to incidents such as road accidents. It is exploring the use of networked monitors to support decision making and information management in the management of casualties and the automatic generation of handover reports from responders when more expert help arrives.<br />
The successful candidate will have a good knowledge of natural language processing techniques in general (at the postgraduate level) and preferably some practical experience with NLG. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering.<br />
<br />
This post is funded by the EPSRC and it is anticipated that the project activities will be completed within 9 months of the agreed start date. This appointment will be made subject to the usual terms and conditions of employment of the University. <br />
<br />
== Executive Director at University of Maryland ==<br />
<br />
** Employer: University of Maryland, Center for Advanced Study of Language (CASL)<br />
** Title: Executive Director<br />
** Location: College Park, MD<br />
** Deadline: Open until filled<br />
** Date Posted: July 2, 2012<br />
** Link to website: http://jobs.umd.edu/applicants/Central?quickFind=57086<br />
** Contact email: tswallst@umd.edu<br />
<br />
The University of Maryland, College Park, invites applications for the position of Executive Director of the Center for Advanced Study of Language (CASL). Since its establishment in 2003, CASL’s mission has been to conduct cutting-edge research that results in improved performance on foreign language and analysis tasks relevant to the work of government language professionals. Visit www.casl.umd.edu for more information about CASL. <br />
<br />
'''DUTIES:''' The Executive Director (ED) has leadership responsibility for research, operations, strategic planning, and compliance with university and government requirements and regulations associated with CASL’s designation as a University Affiliated Research Center (UARC). The ED’s duties include developing and implementing the US Government-approved research agenda; developing and managing external relations and outreach to academia, industry, and government for purposes of collaborative research and consultation; and overseeing relevant UARC-designated activities and outreach, collaboration, education, policy and evaluation. The ED ensures the hiring and retention of the best researchers and research managers in CASL’s core compentencies and other relevant disciplines as well as highly qualified financial, information technology, operations, logistics, and security support staff. In addition to aligning CASL’s strategic plan with its mission to meet the needs of clients, the ED provides leadership in identifying opportunities for partnering and collaborating with academic departments and other research centers on campus. The ED reports to the Vice President for Research and directly supervises the directors of CASL’s various units. <br />
<br />
'''QUALIFICATIONS:''' Candidates must have an advanced degree, preferably a Ph.D., in a discipline related to one of CASL’s core competencies (e.g., Less Commonly Taught Languages and Cultures; Second Language Acquisition; Computational Linguistics; Linguistics; Cognitive or Social Psychology; Cognitive Science or Cognitive Neuroscience), with a distinguished record of scholarly achievement and/or leadership in one or more areas relevant to the research foci of the center. Candidates' experience, research and publications should show evidence of ability to tackle complex, interdisciplinary research and to work collaboratively with a range of institutions and researchers. Experience working closely with US government and/or industry colleagues in non-academic settings is essential. Candidates must qualify for an academic appointment either as a tenured professor or as a professor of the practice in a department consistent with their background.<br />
<br />
'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.''' <br />
<br />
'''TO APPLY:''' For best consideration, applicants should submit a letter of application, CV, and contact information for three professional references online at http://jobs.umd.edu click on “Faculty” (or direct link: http://www. jobs.umd.edu/applicants/Central?quickFind=57086) by Monday, August 20, 2012. Address questions to the search committee chair, Professor Thomas S. Wallsten, at tswallst@umd.edu<br />
<br />
The University of Maryland, College Park, actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, or political affiliation. Minorities and women are encouraged to apply. The University of Maryland offers an excellent benefits package which includes: health benefits, retirement plans, generous leave package, flexible spending accounts, tuition remission, and long-term, disability, and life insurance. Please visit the University’s web page at http://www.uhr.umd.edu/benefits/ to see a full list of benefits and the providers. <br />
<br />
== Several Positions in Data2Text (Natural Language Generation) ==<br />
<br />
* Employer: Data2Text<br />
* Job title: Natural Language Generation Engineer, Analytics Engineer, Lead Engineer<br />
* Specialty: natural language generation, analytics<br />
* Location: Aberdeen, Scotland, UK<br />
* Deadline: 29 June 2012 <br />
* Date posted: 8 June 2012 <br />
* Link to website: http://www.data2text.com/careers<br />
<br />
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)<br />
research group. We are looking to hire several people; please see our website for details<br />
http://www.data2text.com/careers<br />
<br />
This is a great opportunity for people who are keen on getting NLG technology<br />
out into the real world. In addition to the advertised positions, we're happy to talk<br />
to people who are knowledgeable about NLG and keen to develop commercial applications,<br />
but whose profiles do not fit the advertised positions.<br />
<br />
Information inquiries (from the ACL community) should be sent to Ehud Reiter<br />
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)<br />
<br />
== Associate Research Scientist (SPEECH) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (SPEECH) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.<br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.<br />
<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).<br />
<br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Scientist (NLP) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (NLP) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field. <br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset. <br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Engineer at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Engineer <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 15-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies. <br />
<br />
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.<br />
<br />
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.<br />
<br />
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.<br />
<br />
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.<br />
<br />
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.<br />
<br />
* Implement components of technical documentation of NLP software systems, solutions and results.<br />
<br />
* Attend area-wide staff training and development sessions. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.<br />
<br />
EXPERIENCE <br />
<br />
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.<br />
<br />
OTHER REQUIREMENTS<br />
* Knowledge of UNIX and Windows computing environments.<br />
<br />
* Familiarity with UNIX tools and scripting languages.<br />
<br />
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data. <br />
<br />
* Excellent verbal and written communication skills.<br />
<br />
<br />
'''APPLYING'''<br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==<br />
<br />
* Employer: Austrian Research Institute for Artificial Intelligence<br />
* Group: Language Technology<br />
* Title: Junior Researcher<br />
* Requirements:<br />
** Permission to work within the European union<br />
** Excellent English language skills; knowledge of the German language is a plus<br />
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)<br />
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)<br />
** Programming skills in C++, Perl and/or Java<br />
** Strong ability to work independently and drive an original research agenda <br />
* Deadline: June 15, 2012<br />
* Date Posted: May 14, 2012<br />
* Contact: harald.trost@ofai.at<br />
<br />
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties". <br />
<br />
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.<br />
<br />
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.<br />
<br />
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.<br />
<br />
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).<br />
<br />
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.<br />
<br />
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.<br />
<br />
<br />
== Junior Research Group Leaders at Saarland University ==<br />
<br />
* Employer: Saarland University, Germany<br />
* Division: MMCI Cluster of Excellence<br />
* Title: Junior Research Group Leaders<br />
* Job ID: W490<br />
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)<br />
* Location: Saarbrücken, Germany<br />
* Deadline: April 30, 2012<br />
* Date Posted: April 4, 2012<br />
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.<br />
<br />
Deadline for applications is April 30th, 2012.<br />
<br />
For the complete announcement see:<br />
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
<br />
Additional information on the excellence cluster is available on<br />
http://www.mmci.uni-saarland.de/<br />
<br />
<br />
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. <br />
<br />
== Scientist Position in Statistical Machine Translation at Microsoft ==<br />
<br />
* Employer: MICROSOFT<br />
* Division: Online Services Division<br />
* Title: Scientist Position<br />
* Job ID: 789594<br />
* Specialty: Statistical Machine Translation<br />
* Location: Bellevue, WA or Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 30, 2012<br />
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN<br />
<br />
Scientist Position in Statistical Machine Translation<br />
<br />
Research and Development Opportunities for Next Generation Technology at Microsoft<br />
<br />
Do you want to impact billions of people all over the world with speech technology that you create? <br />
<br />
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation, <br />
weighted finite state transducers, natural language processing and machine learning will be preferred.<br />
<br />
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages. <br />
<br />
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.<br />
<br />
<br />
<br />
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==<br />
<br />
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley<br />
* Title: Post MS, Post Doc, or above<br />
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning<br />
* Location: Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 21, 2012<br />
* Contact: patrick.w.langley@gmail.com<br />
<br />
An ongoing project has an opening for a researcher who will help extend<br />
Icarus, a cognitive architecture, to reason about other agents' mental<br />
states in the context of dialogues and joint activities. The framework<br />
uses a logical formalism to encode knowledge, beliefs, and goals, and<br />
it relies on a form of abduction to make plausible inferences. Experience<br />
in building reasoning systems that operate over rich representations is<br />
essential, and a background in applied logic, knowledge-based systems,<br />
and/or cognitive architectures is highly desirable.<br />
<br />
The location of the project will be Carnegie Mellon's Silicon Valley<br />
Campus. The start date is negotiable, but the position will be available<br />
on May 1, 2012, and the project has funding for another two years.<br />
Interested parties should send their curriculum vitae, along with<br />
the contact details for two or more references, to Pat Langley<br />
<patrick.w.langley@gmail.com>.<br />
<br />
<br />
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoc<br />
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor<br />
* Location: Chicago, IL<br />
* Deadline: As soon as possible<br />
* Date Posted: March 13, 2012<br />
* Contact: argamon@iit.edu<br />
<br />
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.<br />
<br />
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.<br />
<br />
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.<br />
<br />
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding. <br />
<br />
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.<br />
<br />
Review of applications will begin immediately and continue until the position is filled.<br />
<br />
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==<br />
<br />
* Employer: Google<br />
* Job title: Postdoc<br />
* Specialty: Natural Language Processing, Machine Learning, summarization<br />
* Location: Zurich, Switzerland<br />
* Deadline: we are looking to fill the position soon<br />
* Date posted: 1 March 2012<br />
<br />
A post-doctoral position in the area of automatic text summarization<br />
within the RENDER project is available at the Google Switzerland R&D<br />
office. RENDER is a EU FP7 research project focused on identifying<br />
diversity of opinions, viewpoints, mindsets and backgrounds in texts<br />
from different sources: news, (micro) blog streams, and in<br />
collaboratively written resources like Wikipedia. More information on<br />
the project goals is available at http://render-project.eu/.<br />
<br />
The duration of the post-doctoral contract will be one year, with the<br />
possibility of renewing for a second year. This position will allow<br />
the candidate to perform research on several NLP-related areas,<br />
to interact with the consortium partners and with other Google-internal<br />
research and development projects, and to apply the results of the<br />
research to real applications with a potentially large impact.<br />
<br />
Requirements:<br />
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.<br />
* Extensive programming experience in C/C++.<br />
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.<br />
* Fluency in English.<br />
<br />
Responsibilities:<br />
* Perform research in the context of the project (text summarization).<br />
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.<br />
* Publish the result of the research in top conferences or journals.<br />
* Be available to attend project meetings with the partners in the project.<br />
<br />
For applying to this position, please send an e-mail to Enrique<br />
Alfonseca (ealfonseca@google.com) including a paragraph on why you<br />
think you are a right person for the role, and a brief CV.<br />
<br />
== 4 PhD positions in spoken dialogue systems research ==<br />
<br />
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague<br />
* Job title: 4 PhD positions in spoken dialogue systems research<br />
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing<br />
* Location: Prague, Czech Republic<br />
* Deadline: 1 June 2012 <br />
* Date posted: 16 February 2012 <br />
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs<br />
<br />
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.<br />
<br />
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. <br />
<br />
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.<br />
<br />
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. <br />
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.<br />
<br />
<br />
== PhD-position in sentiment mining and reputation analysis==<br />
<br />
* Employer: Erasmus University Rotterdam<br />
* Job title: PhD-student <br />
* Specialty: text mining, sentiment analysis, topic detection, reputation management<br />
* Location: Rottterdam, The Netherlands <br />
* Deadline: 1 March 2012 <br />
* Date posted: 6 February 2012 <br />
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.<br />
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. <br />
<br />
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.<br />
<br />
== PhD-position in folktale classification and clustering ==<br />
* Employer: University of Twente<br />
* Job title: PhD-student<br />
* Specialty: text classification, document clustering, natural language processing<br />
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands<br />
* Deadline: 4 March 2012<br />
* Date posted: 6 February 2012<br />
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.<br />
<br />
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute. <br />
<br />
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9373Employment opportunities, postdoctoral positions, summer jobs2012-05-29T15:38:53Z<p>Joeltetreault: /* Associate Research Engineer at Educational Testing Service */</p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
** Deadline<br />
** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]<br />
<br />
== Research Fellowship at University of Aberdeen ==<br />
<br />
* Employer: University of Aberdeen<br />
* Job Title: Research Fellow in Computational Linguistics <br />
* Location: Aberdeen, UK<br />
* Deadline: 28th June 2012<br />
* Date Posted: 22-May-2012 <br />
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", enter "Computational Linguist" under Search Vacancy Title and click "search"]<br />
* Contact email: c.mellish@abdn.ac.uk<br />
<br />
Research at Aberdeen is seeking to build a dialogue system allowing a person who is building a semantic web ontology to ask ‘what if …?’ questions about possible additions and changes to the ontology and get meaningful answers. This involves automated reasoning about what the consequences of a change in the ontology would be and intelligent presentation of the results. Because in general there will be infinitely many new logical consequences, the system will have to understand something about what the person is trying to do and what sorts of results will be most interesting to them. It is assumed that this information can best be provided by the person in the context of a natural dialogue system.<br />
<br />
We are seeking a Computational Linguist to lead the theoretical and practical design and development of the dialogue system (other researchers will be investigating issues of efficient reasoning and issues of how to model the process of ontology authoring). The dialogue system is expected to use structured input (including an approach to specifying complex content based on “editing” natural text (see paper by Power in European Workshop on Natural Language Generation 2009) rather than free natural language text or speech, but nevertheless is required to be natural and to select and present information coherently.<br />
<br />
You should have, or be about to acquire, a PhD in Computer Science/ Artificial Intelligence/ Computational Linguistics, with experience of natural language processing research at the postgraduate level and experience of implementing software for users. Research interests in conversational implicature/ relevance, logics and reasoning, dialogue moves and structures, the semantic web and requirements elicitation/ evaluation with users would all be advantageous but are not essential. <br />
<br />
== Associate Research Scientist (SPEECH) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (SPEECH) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.<br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.<br />
<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).<br />
<br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Scientist (NLP) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (NLP) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field. <br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset. <br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Engineer at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Engineer <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 15-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies. <br />
<br />
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.<br />
<br />
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.<br />
<br />
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.<br />
<br />
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.<br />
<br />
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.<br />
<br />
* Implement components of technical documentation of NLP software systems, solutions and results.<br />
<br />
* Attend area-wide staff training and development sessions. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.<br />
<br />
EXPERIENCE <br />
<br />
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.<br />
<br />
OTHER REQUIREMENTS<br />
* Knowledge of UNIX and Windows computing environments.<br />
<br />
* Familiarity with UNIX tools and scripting languages.<br />
<br />
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data. <br />
<br />
* Excellent verbal and written communication skills.<br />
<br />
<br />
'''APPLYING'''<br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==<br />
<br />
* Employer: Austrian Research Institute for Artificial Intelligence<br />
* Group: Language Technology<br />
* Title: Junior Researcher<br />
* Requirements:<br />
** Permission to work within the European union<br />
** Excellent English language skills; knowledge of the German language is a plus<br />
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)<br />
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)<br />
** Programming skills in C++, Perl and/or Java<br />
** Strong ability to work independently and drive an original research agenda <br />
* Deadline: June 15, 2012<br />
* Date Posted: May 14, 2012<br />
* Contact: harald.trost@ofai.at<br />
<br />
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties". <br />
<br />
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.<br />
<br />
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.<br />
<br />
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.<br />
<br />
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).<br />
<br />
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.<br />
<br />
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.<br />
<br />
<br />
== Junior Research Group Leaders at Saarland University ==<br />
<br />
* Employer: Saarland University, Germany<br />
* Division: MMCI Cluster of Excellence<br />
* Title: Junior Research Group Leaders<br />
* Job ID: W490<br />
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)<br />
* Location: Saarbrücken, Germany<br />
* Deadline: April 30, 2012<br />
* Date Posted: April 4, 2012<br />
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.<br />
<br />
Deadline for applications is April 30th, 2012.<br />
<br />
For the complete announcement see:<br />
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
<br />
Additional information on the excellence cluster is available on<br />
http://www.mmci.uni-saarland.de/<br />
<br />
<br />
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. <br />
<br />
== Scientist Position in Statistical Machine Translation at Microsoft ==<br />
<br />
* Employer: MICROSOFT<br />
* Division: Online Services Division<br />
* Title: Scientist Position<br />
* Job ID: 789594<br />
* Specialty: Statistical Machine Translation<br />
* Location: Bellevue, WA or Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 30, 2012<br />
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN<br />
<br />
Scientist Position in Statistical Machine Translation<br />
<br />
Research and Development Opportunities for Next Generation Technology at Microsoft<br />
<br />
Do you want to impact billions of people all over the world with speech technology that you create? <br />
<br />
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation, <br />
weighted finite state transducers, natural language processing and machine learning will be preferred.<br />
<br />
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages. <br />
<br />
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.<br />
<br />
<br />
<br />
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==<br />
<br />
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley<br />
* Title: Post MS, Post Doc, or above<br />
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning<br />
* Location: Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 21, 2012<br />
* Contact: patrick.w.langley@gmail.com<br />
<br />
An ongoing project has an opening for a researcher who will help extend<br />
Icarus, a cognitive architecture, to reason about other agents' mental<br />
states in the context of dialogues and joint activities. The framework<br />
uses a logical formalism to encode knowledge, beliefs, and goals, and<br />
it relies on a form of abduction to make plausible inferences. Experience<br />
in building reasoning systems that operate over rich representations is<br />
essential, and a background in applied logic, knowledge-based systems,<br />
and/or cognitive architectures is highly desirable.<br />
<br />
The location of the project will be Carnegie Mellon's Silicon Valley<br />
Campus. The start date is negotiable, but the position will be available<br />
on May 1, 2012, and the project has funding for another two years.<br />
Interested parties should send their curriculum vitae, along with<br />
the contact details for two or more references, to Pat Langley<br />
<patrick.w.langley@gmail.com>.<br />
<br />
<br />
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoc<br />
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor<br />
* Location: Chicago, IL<br />
* Deadline: As soon as possible<br />
* Date Posted: March 13, 2012<br />
* Contact: argamon@iit.edu<br />
<br />
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.<br />
<br />
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.<br />
<br />
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.<br />
<br />
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding. <br />
<br />
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.<br />
<br />
Review of applications will begin immediately and continue until the position is filled.<br />
<br />
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==<br />
<br />
* Employer: Google<br />
* Job title: Postdoc<br />
* Specialty: Natural Language Processing, Machine Learning, summarization<br />
* Location: Zurich, Switzerland<br />
* Deadline: we are looking to fill the position soon<br />
* Date posted: 1 March 2012<br />
<br />
A post-doctoral position in the area of automatic text summarization<br />
within the RENDER project is available at the Google Switzerland R&D<br />
office. RENDER is a EU FP7 research project focused on identifying<br />
diversity of opinions, viewpoints, mindsets and backgrounds in texts<br />
from different sources: news, (micro) blog streams, and in<br />
collaboratively written resources like Wikipedia. More information on<br />
the project goals is available at http://render-project.eu/.<br />
<br />
The duration of the post-doctoral contract will be one year, with the<br />
possibility of renewing for a second year. This position will allow<br />
the candidate to perform research on several NLP-related areas,<br />
to interact with the consortium partners and with other Google-internal<br />
research and development projects, and to apply the results of the<br />
research to real applications with a potentially large impact.<br />
<br />
Requirements:<br />
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.<br />
* Extensive programming experience in C/C++.<br />
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.<br />
* Fluency in English.<br />
<br />
Responsibilities:<br />
* Perform research in the context of the project (text summarization).<br />
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.<br />
* Publish the result of the research in top conferences or journals.<br />
* Be available to attend project meetings with the partners in the project.<br />
<br />
For applying to this position, please send an e-mail to Enrique<br />
Alfonseca (ealfonseca@google.com) including a paragraph on why you<br />
think you are a right person for the role, and a brief CV.<br />
<br />
== 4 PhD positions in spoken dialogue systems research ==<br />
<br />
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague<br />
* Job title: 4 PhD positions in spoken dialogue systems research<br />
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing<br />
* Location: Prague, Czech Republic<br />
* Deadline: 1 June 2012 <br />
* Date posted: 16 February 2012 <br />
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs<br />
<br />
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.<br />
<br />
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. <br />
<br />
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.<br />
<br />
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. <br />
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.<br />
<br />
== Several Positions in Data2Text (Natural Language Generation) ==<br />
<br />
* Employer: Data2Text<br />
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect<br />
* Specialty: natural language generation, analytics<br />
* Location: Aberdeen, Scotland, UK<br />
* Deadline: 2 March 2012 <br />
* Date posted: 7 February 2012 <br />
* Link to website: http://www.data2text.com/careers<br />
<br />
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)<br />
research group. We are looking to hire several people; please see our website for details<br />
http://www.data2text.com/careers<br />
<br />
This is a great opportunity for people who are keen on getting NLG technology<br />
out into the real world. In addition to the advertised positions, we're happy to talk<br />
to people who are knowledgeable about NLG and keen to develop commercial applications,<br />
but whose profiles do not fit the advertised positions.<br />
<br />
Information inquiries (from the ACL community) should be sent to Ehud Reiter<br />
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)<br />
<br />
== PhD-position in sentiment mining and reputation analysis==<br />
<br />
* Employer: Erasmus University Rotterdam<br />
* Job title: PhD-student <br />
* Specialty: text mining, sentiment analysis, topic detection, reputation management<br />
* Location: Rottterdam, The Netherlands <br />
* Deadline: 1 March 2012 <br />
* Date posted: 6 February 2012 <br />
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.<br />
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. <br />
<br />
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.<br />
<br />
== PhD-position in folktale classification and clustering ==<br />
* Employer: University of Twente<br />
* Job title: PhD-student<br />
* Specialty: text classification, document clustering, natural language processing<br />
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands<br />
* Deadline: 4 March 2012<br />
* Date posted: 6 February 2012<br />
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.<br />
<br />
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute. <br />
<br />
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
<br />
==Postdoc Position at Aberdeen University==<br />
* Employer: University of Aberdeen <br />
* Rank: Post-doctoral Research fellow<br />
* Speciality: Intelligent Language/Multimodal Interfaces<br />
* Location: Aberdeen, UK <br />
* Deadline: 10-Feb-2012 <br />
* Date Posted: 19-Jan-2012 <br />
* Contact email: yaji.sripada@abdn.ac.uk<br />
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009. <br />
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk <br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation. <br />
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage. <br />
As this post is externally funded it is available for a period of 2.5 years.<br />
<br />
For more details <br />
<br />
Go to: http://www.abdn.ac.uk/jobs/index.php<br />
Click on "External Applicants"<br />
Enter the Post Reference Number 1228867 and click "Search"<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9361Employment opportunities, postdoctoral positions, summer jobs2012-05-16T20:44:11Z<p>Joeltetreault: /* Associate Research Engineer at Educational Testing Service */</p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
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** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]<br />
<br />
== Associate Research Scientist (SPEECH) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (SPEECH) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.<br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.<br />
<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).<br />
<br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Scientist (NLP) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (NLP) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field. <br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset. <br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Engineer at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Engineer <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 15-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies. <br />
<br />
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.<br />
<br />
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.<br />
<br />
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.<br />
<br />
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.<br />
<br />
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.<br />
<br />
* Implement components of technical documentation of NLP software systems, solutions and results.<br />
<br />
* Attend area-wide staff training and development sessions. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.<br />
<br />
EXPERIENCE <br />
<br />
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.<br />
<br />
OTHER REQUIREMENTS<br />
* Knowledge of UNIX and Windows computing environments.<br />
<br />
* Familiarity with UNIX tools and scripting languages.<br />
<br />
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data. <br />
<br />
* Excellent verbal and written communication.<br />
<br />
<br />
'''APPLYING'''<br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==<br />
<br />
* Employer: Austrian Research Institute for Artificial Intelligence<br />
* Group: Language Technology<br />
* Title: Junior Researcher<br />
* Requirements:<br />
** Permission to work within the European union<br />
** Excellent English language skills; knowledge of the German language is a plus<br />
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)<br />
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)<br />
** Programming skills in C++, Perl and/or Java<br />
** Strong ability to work independently and drive an original research agenda <br />
* Deadline: June 15, 2012<br />
* Date Posted: May 14, 2012<br />
* Contact: harald.trost@ofai.at<br />
<br />
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties". <br />
<br />
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.<br />
<br />
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.<br />
<br />
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.<br />
<br />
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).<br />
<br />
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.<br />
<br />
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.<br />
<br />
<br />
== Junior Research Group Leaders at Saarland University ==<br />
<br />
* Employer: Saarland University, Germany<br />
* Division: MMCI Cluster of Excellence<br />
* Title: Junior Research Group Leaders<br />
* Job ID: W490<br />
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)<br />
* Location: Saarbrücken, Germany<br />
* Deadline: April 30, 2012<br />
* Date Posted: April 4, 2012<br />
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.<br />
<br />
Deadline for applications is April 30th, 2012.<br />
<br />
For the complete announcement see:<br />
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
<br />
Additional information on the excellence cluster is available on<br />
http://www.mmci.uni-saarland.de/<br />
<br />
<br />
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. <br />
<br />
== Scientist Position in Statistical Machine Translation at Microsoft ==<br />
<br />
* Employer: MICROSOFT<br />
* Division: Online Services Division<br />
* Title: Scientist Position<br />
* Job ID: 789594<br />
* Specialty: Statistical Machine Translation<br />
* Location: Bellevue, WA or Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 30, 2012<br />
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN<br />
<br />
Scientist Position in Statistical Machine Translation<br />
<br />
Research and Development Opportunities for Next Generation Technology at Microsoft<br />
<br />
Do you want to impact billions of people all over the world with speech technology that you create? <br />
<br />
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation, <br />
weighted finite state transducers, natural language processing and machine learning will be preferred.<br />
<br />
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages. <br />
<br />
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.<br />
<br />
<br />
<br />
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==<br />
<br />
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley<br />
* Title: Post MS, Post Doc, or above<br />
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning<br />
* Location: Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 21, 2012<br />
* Contact: patrick.w.langley@gmail.com<br />
<br />
An ongoing project has an opening for a researcher who will help extend<br />
Icarus, a cognitive architecture, to reason about other agents' mental<br />
states in the context of dialogues and joint activities. The framework<br />
uses a logical formalism to encode knowledge, beliefs, and goals, and<br />
it relies on a form of abduction to make plausible inferences. Experience<br />
in building reasoning systems that operate over rich representations is<br />
essential, and a background in applied logic, knowledge-based systems,<br />
and/or cognitive architectures is highly desirable.<br />
<br />
The location of the project will be Carnegie Mellon's Silicon Valley<br />
Campus. The start date is negotiable, but the position will be available<br />
on May 1, 2012, and the project has funding for another two years.<br />
Interested parties should send their curriculum vitae, along with<br />
the contact details for two or more references, to Pat Langley<br />
<patrick.w.langley@gmail.com>.<br />
<br />
<br />
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoc<br />
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor<br />
* Location: Chicago, IL<br />
* Deadline: As soon as possible<br />
* Date Posted: March 13, 2012<br />
* Contact: argamon@iit.edu<br />
<br />
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.<br />
<br />
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.<br />
<br />
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.<br />
<br />
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding. <br />
<br />
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.<br />
<br />
Review of applications will begin immediately and continue until the position is filled.<br />
<br />
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==<br />
<br />
* Employer: Google<br />
* Job title: Postdoc<br />
* Specialty: Natural Language Processing, Machine Learning, summarization<br />
* Location: Zurich, Switzerland<br />
* Deadline: we are looking to fill the position soon<br />
* Date posted: 1 March 2012<br />
<br />
A post-doctoral position in the area of automatic text summarization<br />
within the RENDER project is available at the Google Switzerland R&D<br />
office. RENDER is a EU FP7 research project focused on identifying<br />
diversity of opinions, viewpoints, mindsets and backgrounds in texts<br />
from different sources: news, (micro) blog streams, and in<br />
collaboratively written resources like Wikipedia. More information on<br />
the project goals is available at http://render-project.eu/.<br />
<br />
The duration of the post-doctoral contract will be one year, with the<br />
possibility of renewing for a second year. This position will allow<br />
the candidate to perform research on several NLP-related areas,<br />
to interact with the consortium partners and with other Google-internal<br />
research and development projects, and to apply the results of the<br />
research to real applications with a potentially large impact.<br />
<br />
Requirements:<br />
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.<br />
* Extensive programming experience in C/C++.<br />
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.<br />
* Fluency in English.<br />
<br />
Responsibilities:<br />
* Perform research in the context of the project (text summarization).<br />
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.<br />
* Publish the result of the research in top conferences or journals.<br />
* Be available to attend project meetings with the partners in the project.<br />
<br />
For applying to this position, please send an e-mail to Enrique<br />
Alfonseca (ealfonseca@google.com) including a paragraph on why you<br />
think you are a right person for the role, and a brief CV.<br />
<br />
== 4 PhD positions in spoken dialogue systems research ==<br />
<br />
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague<br />
* Job title: 4 PhD positions in spoken dialogue systems research<br />
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing<br />
* Location: Prague, Czech Republic<br />
* Deadline: 1 June 2012 <br />
* Date posted: 16 February 2012 <br />
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs<br />
<br />
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.<br />
<br />
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. <br />
<br />
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.<br />
<br />
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. <br />
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.<br />
<br />
== Several Positions in Data2Text (Natural Language Generation) ==<br />
<br />
* Employer: Data2Text<br />
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect<br />
* Specialty: natural language generation, analytics<br />
* Location: Aberdeen, Scotland, UK<br />
* Deadline: 2 March 2012 <br />
* Date posted: 7 February 2012 <br />
* Link to website: http://www.data2text.com/careers<br />
<br />
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)<br />
research group. We are looking to hire several people; please see our website for details<br />
http://www.data2text.com/careers<br />
<br />
This is a great opportunity for people who are keen on getting NLG technology<br />
out into the real world. In addition to the advertised positions, we're happy to talk<br />
to people who are knowledgeable about NLG and keen to develop commercial applications,<br />
but whose profiles do not fit the advertised positions.<br />
<br />
Information inquiries (from the ACL community) should be sent to Ehud Reiter<br />
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)<br />
<br />
== PhD-position in sentiment mining and reputation analysis==<br />
<br />
* Employer: Erasmus University Rotterdam<br />
* Job title: PhD-student <br />
* Specialty: text mining, sentiment analysis, topic detection, reputation management<br />
* Location: Rottterdam, The Netherlands <br />
* Deadline: 1 March 2012 <br />
* Date posted: 6 February 2012 <br />
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.<br />
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. <br />
<br />
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.<br />
<br />
== PhD-position in folktale classification and clustering ==<br />
* Employer: University of Twente<br />
* Job title: PhD-student<br />
* Specialty: text classification, document clustering, natural language processing<br />
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands<br />
* Deadline: 4 March 2012<br />
* Date posted: 6 February 2012<br />
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.<br />
<br />
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute. <br />
<br />
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
<br />
==Postdoc Position at Aberdeen University==<br />
* Employer: University of Aberdeen <br />
* Rank: Post-doctoral Research fellow<br />
* Speciality: Intelligent Language/Multimodal Interfaces<br />
* Location: Aberdeen, UK <br />
* Deadline: 10-Feb-2012 <br />
* Date Posted: 19-Jan-2012 <br />
* Contact email: yaji.sripada@abdn.ac.uk<br />
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009. <br />
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk <br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation. <br />
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage. <br />
As this post is externally funded it is available for a period of 2.5 years.<br />
<br />
For more details <br />
<br />
Go to: http://www.abdn.ac.uk/jobs/index.php<br />
Click on "External Applicants"<br />
Enter the Post Reference Number 1228867 and click "Search"<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9360Employment opportunities, postdoctoral positions, summer jobs2012-05-16T20:43:43Z<p>Joeltetreault: /* Associate Research Scientist (SPEECH) at Educational Testing Service */</p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
** Deadline<br />
** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]<br />
<br />
== Associate Research Scientist (SPEECH) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (SPEECH) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.<br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.<br />
<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).<br />
<br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Scientist (NLP) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (NLP) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field. <br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset. <br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Engineer at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Engineer <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 15-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies. <br />
<br />
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.<br />
<br />
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.<br />
<br />
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.<br />
<br />
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.<br />
<br />
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.<br />
<br />
* Implement components of technical documentation of NLP software systems, solutions and results.<br />
<br />
* Attend area-wide staff training and development sessions. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.<br />
<br />
EXPERIENCE <br />
<br />
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.<br />
<br />
OTHER REQUIREMENTS<br />
* Knowledge of UNIX and Windows computing environments.<br />
<br />
* Familiarity with UNIX tools and scripting languages.<br />
<br />
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data. <br />
<br />
* Excellent verbal and written communication.<br />
<br />
<br />
'''APPLYING'''<br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org <br />
<br />
<br />
<br />
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==<br />
<br />
* Employer: Austrian Research Institute for Artificial Intelligence<br />
* Group: Language Technology<br />
* Title: Junior Researcher<br />
* Requirements:<br />
** Permission to work within the European union<br />
** Excellent English language skills; knowledge of the German language is a plus<br />
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)<br />
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)<br />
** Programming skills in C++, Perl and/or Java<br />
** Strong ability to work independently and drive an original research agenda <br />
* Deadline: June 15, 2012<br />
* Date Posted: May 14, 2012<br />
* Contact: harald.trost@ofai.at<br />
<br />
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties". <br />
<br />
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.<br />
<br />
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.<br />
<br />
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.<br />
<br />
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).<br />
<br />
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.<br />
<br />
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.<br />
<br />
<br />
== Junior Research Group Leaders at Saarland University ==<br />
<br />
* Employer: Saarland University, Germany<br />
* Division: MMCI Cluster of Excellence<br />
* Title: Junior Research Group Leaders<br />
* Job ID: W490<br />
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)<br />
* Location: Saarbrücken, Germany<br />
* Deadline: April 30, 2012<br />
* Date Posted: April 4, 2012<br />
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.<br />
<br />
Deadline for applications is April 30th, 2012.<br />
<br />
For the complete announcement see:<br />
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
<br />
Additional information on the excellence cluster is available on<br />
http://www.mmci.uni-saarland.de/<br />
<br />
<br />
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. <br />
<br />
== Scientist Position in Statistical Machine Translation at Microsoft ==<br />
<br />
* Employer: MICROSOFT<br />
* Division: Online Services Division<br />
* Title: Scientist Position<br />
* Job ID: 789594<br />
* Specialty: Statistical Machine Translation<br />
* Location: Bellevue, WA or Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 30, 2012<br />
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN<br />
<br />
Scientist Position in Statistical Machine Translation<br />
<br />
Research and Development Opportunities for Next Generation Technology at Microsoft<br />
<br />
Do you want to impact billions of people all over the world with speech technology that you create? <br />
<br />
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation, <br />
weighted finite state transducers, natural language processing and machine learning will be preferred.<br />
<br />
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages. <br />
<br />
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.<br />
<br />
<br />
<br />
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==<br />
<br />
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley<br />
* Title: Post MS, Post Doc, or above<br />
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning<br />
* Location: Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 21, 2012<br />
* Contact: patrick.w.langley@gmail.com<br />
<br />
An ongoing project has an opening for a researcher who will help extend<br />
Icarus, a cognitive architecture, to reason about other agents' mental<br />
states in the context of dialogues and joint activities. The framework<br />
uses a logical formalism to encode knowledge, beliefs, and goals, and<br />
it relies on a form of abduction to make plausible inferences. Experience<br />
in building reasoning systems that operate over rich representations is<br />
essential, and a background in applied logic, knowledge-based systems,<br />
and/or cognitive architectures is highly desirable.<br />
<br />
The location of the project will be Carnegie Mellon's Silicon Valley<br />
Campus. The start date is negotiable, but the position will be available<br />
on May 1, 2012, and the project has funding for another two years.<br />
Interested parties should send their curriculum vitae, along with<br />
the contact details for two or more references, to Pat Langley<br />
<patrick.w.langley@gmail.com>.<br />
<br />
<br />
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoc<br />
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor<br />
* Location: Chicago, IL<br />
* Deadline: As soon as possible<br />
* Date Posted: March 13, 2012<br />
* Contact: argamon@iit.edu<br />
<br />
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.<br />
<br />
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.<br />
<br />
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.<br />
<br />
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding. <br />
<br />
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.<br />
<br />
Review of applications will begin immediately and continue until the position is filled.<br />
<br />
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==<br />
<br />
* Employer: Google<br />
* Job title: Postdoc<br />
* Specialty: Natural Language Processing, Machine Learning, summarization<br />
* Location: Zurich, Switzerland<br />
* Deadline: we are looking to fill the position soon<br />
* Date posted: 1 March 2012<br />
<br />
A post-doctoral position in the area of automatic text summarization<br />
within the RENDER project is available at the Google Switzerland R&D<br />
office. RENDER is a EU FP7 research project focused on identifying<br />
diversity of opinions, viewpoints, mindsets and backgrounds in texts<br />
from different sources: news, (micro) blog streams, and in<br />
collaboratively written resources like Wikipedia. More information on<br />
the project goals is available at http://render-project.eu/.<br />
<br />
The duration of the post-doctoral contract will be one year, with the<br />
possibility of renewing for a second year. This position will allow<br />
the candidate to perform research on several NLP-related areas,<br />
to interact with the consortium partners and with other Google-internal<br />
research and development projects, and to apply the results of the<br />
research to real applications with a potentially large impact.<br />
<br />
Requirements:<br />
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.<br />
* Extensive programming experience in C/C++.<br />
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.<br />
* Fluency in English.<br />
<br />
Responsibilities:<br />
* Perform research in the context of the project (text summarization).<br />
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.<br />
* Publish the result of the research in top conferences or journals.<br />
* Be available to attend project meetings with the partners in the project.<br />
<br />
For applying to this position, please send an e-mail to Enrique<br />
Alfonseca (ealfonseca@google.com) including a paragraph on why you<br />
think you are a right person for the role, and a brief CV.<br />
<br />
== 4 PhD positions in spoken dialogue systems research ==<br />
<br />
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague<br />
* Job title: 4 PhD positions in spoken dialogue systems research<br />
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing<br />
* Location: Prague, Czech Republic<br />
* Deadline: 1 June 2012 <br />
* Date posted: 16 February 2012 <br />
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs<br />
<br />
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.<br />
<br />
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. <br />
<br />
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.<br />
<br />
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. <br />
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.<br />
<br />
== Several Positions in Data2Text (Natural Language Generation) ==<br />
<br />
* Employer: Data2Text<br />
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect<br />
* Specialty: natural language generation, analytics<br />
* Location: Aberdeen, Scotland, UK<br />
* Deadline: 2 March 2012 <br />
* Date posted: 7 February 2012 <br />
* Link to website: http://www.data2text.com/careers<br />
<br />
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)<br />
research group. We are looking to hire several people; please see our website for details<br />
http://www.data2text.com/careers<br />
<br />
This is a great opportunity for people who are keen on getting NLG technology<br />
out into the real world. In addition to the advertised positions, we're happy to talk<br />
to people who are knowledgeable about NLG and keen to develop commercial applications,<br />
but whose profiles do not fit the advertised positions.<br />
<br />
Information inquiries (from the ACL community) should be sent to Ehud Reiter<br />
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)<br />
<br />
== PhD-position in sentiment mining and reputation analysis==<br />
<br />
* Employer: Erasmus University Rotterdam<br />
* Job title: PhD-student <br />
* Specialty: text mining, sentiment analysis, topic detection, reputation management<br />
* Location: Rottterdam, The Netherlands <br />
* Deadline: 1 March 2012 <br />
* Date posted: 6 February 2012 <br />
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.<br />
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. <br />
<br />
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.<br />
<br />
== PhD-position in folktale classification and clustering ==<br />
* Employer: University of Twente<br />
* Job title: PhD-student<br />
* Specialty: text classification, document clustering, natural language processing<br />
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands<br />
* Deadline: 4 March 2012<br />
* Date posted: 6 February 2012<br />
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.<br />
<br />
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute. <br />
<br />
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
<br />
==Postdoc Position at Aberdeen University==<br />
* Employer: University of Aberdeen <br />
* Rank: Post-doctoral Research fellow<br />
* Speciality: Intelligent Language/Multimodal Interfaces<br />
* Location: Aberdeen, UK <br />
* Deadline: 10-Feb-2012 <br />
* Date Posted: 19-Jan-2012 <br />
* Contact email: yaji.sripada@abdn.ac.uk<br />
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009. <br />
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk <br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation. <br />
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage. <br />
As this post is externally funded it is available for a period of 2.5 years.<br />
<br />
For more details <br />
<br />
Go to: http://www.abdn.ac.uk/jobs/index.php<br />
Click on "External Applicants"<br />
Enter the Post Reference Number 1228867 and click "Search"<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9359Employment opportunities, postdoctoral positions, summer jobs2012-05-16T20:43:12Z<p>Joeltetreault: Job Posting for ETS Speech Scientist Position</p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
** Deadline<br />
** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]<br />
<br />
== Associate Research Scientist (SPEECH) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (SPEECH) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.<br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.<br />
<br />
<br />
EXPERIENCE<br />
Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).<br />
<br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
<br />
<br />
== Associate Research Scientist (NLP) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (NLP) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field. <br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset. <br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Engineer at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Engineer <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 15-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies. <br />
<br />
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.<br />
<br />
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.<br />
<br />
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.<br />
<br />
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.<br />
<br />
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.<br />
<br />
* Implement components of technical documentation of NLP software systems, solutions and results.<br />
<br />
* Attend area-wide staff training and development sessions. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.<br />
<br />
EXPERIENCE <br />
<br />
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.<br />
<br />
OTHER REQUIREMENTS<br />
* Knowledge of UNIX and Windows computing environments.<br />
<br />
* Familiarity with UNIX tools and scripting languages.<br />
<br />
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data. <br />
<br />
* Excellent verbal and written communication.<br />
<br />
<br />
'''APPLYING'''<br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org <br />
<br />
<br />
<br />
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==<br />
<br />
* Employer: Austrian Research Institute for Artificial Intelligence<br />
* Group: Language Technology<br />
* Title: Junior Researcher<br />
* Requirements:<br />
** Permission to work within the European union<br />
** Excellent English language skills; knowledge of the German language is a plus<br />
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)<br />
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)<br />
** Programming skills in C++, Perl and/or Java<br />
** Strong ability to work independently and drive an original research agenda <br />
* Deadline: June 15, 2012<br />
* Date Posted: May 14, 2012<br />
* Contact: harald.trost@ofai.at<br />
<br />
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties". <br />
<br />
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.<br />
<br />
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.<br />
<br />
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.<br />
<br />
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).<br />
<br />
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.<br />
<br />
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.<br />
<br />
<br />
== Junior Research Group Leaders at Saarland University ==<br />
<br />
* Employer: Saarland University, Germany<br />
* Division: MMCI Cluster of Excellence<br />
* Title: Junior Research Group Leaders<br />
* Job ID: W490<br />
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)<br />
* Location: Saarbrücken, Germany<br />
* Deadline: April 30, 2012<br />
* Date Posted: April 4, 2012<br />
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.<br />
<br />
Deadline for applications is April 30th, 2012.<br />
<br />
For the complete announcement see:<br />
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
<br />
Additional information on the excellence cluster is available on<br />
http://www.mmci.uni-saarland.de/<br />
<br />
<br />
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. <br />
<br />
== Scientist Position in Statistical Machine Translation at Microsoft ==<br />
<br />
* Employer: MICROSOFT<br />
* Division: Online Services Division<br />
* Title: Scientist Position<br />
* Job ID: 789594<br />
* Specialty: Statistical Machine Translation<br />
* Location: Bellevue, WA or Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 30, 2012<br />
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN<br />
<br />
Scientist Position in Statistical Machine Translation<br />
<br />
Research and Development Opportunities for Next Generation Technology at Microsoft<br />
<br />
Do you want to impact billions of people all over the world with speech technology that you create? <br />
<br />
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation, <br />
weighted finite state transducers, natural language processing and machine learning will be preferred.<br />
<br />
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages. <br />
<br />
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.<br />
<br />
<br />
<br />
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==<br />
<br />
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley<br />
* Title: Post MS, Post Doc, or above<br />
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning<br />
* Location: Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 21, 2012<br />
* Contact: patrick.w.langley@gmail.com<br />
<br />
An ongoing project has an opening for a researcher who will help extend<br />
Icarus, a cognitive architecture, to reason about other agents' mental<br />
states in the context of dialogues and joint activities. The framework<br />
uses a logical formalism to encode knowledge, beliefs, and goals, and<br />
it relies on a form of abduction to make plausible inferences. Experience<br />
in building reasoning systems that operate over rich representations is<br />
essential, and a background in applied logic, knowledge-based systems,<br />
and/or cognitive architectures is highly desirable.<br />
<br />
The location of the project will be Carnegie Mellon's Silicon Valley<br />
Campus. The start date is negotiable, but the position will be available<br />
on May 1, 2012, and the project has funding for another two years.<br />
Interested parties should send their curriculum vitae, along with<br />
the contact details for two or more references, to Pat Langley<br />
<patrick.w.langley@gmail.com>.<br />
<br />
<br />
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoc<br />
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor<br />
* Location: Chicago, IL<br />
* Deadline: As soon as possible<br />
* Date Posted: March 13, 2012<br />
* Contact: argamon@iit.edu<br />
<br />
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.<br />
<br />
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.<br />
<br />
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.<br />
<br />
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding. <br />
<br />
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.<br />
<br />
Review of applications will begin immediately and continue until the position is filled.<br />
<br />
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==<br />
<br />
* Employer: Google<br />
* Job title: Postdoc<br />
* Specialty: Natural Language Processing, Machine Learning, summarization<br />
* Location: Zurich, Switzerland<br />
* Deadline: we are looking to fill the position soon<br />
* Date posted: 1 March 2012<br />
<br />
A post-doctoral position in the area of automatic text summarization<br />
within the RENDER project is available at the Google Switzerland R&D<br />
office. RENDER is a EU FP7 research project focused on identifying<br />
diversity of opinions, viewpoints, mindsets and backgrounds in texts<br />
from different sources: news, (micro) blog streams, and in<br />
collaboratively written resources like Wikipedia. More information on<br />
the project goals is available at http://render-project.eu/.<br />
<br />
The duration of the post-doctoral contract will be one year, with the<br />
possibility of renewing for a second year. This position will allow<br />
the candidate to perform research on several NLP-related areas,<br />
to interact with the consortium partners and with other Google-internal<br />
research and development projects, and to apply the results of the<br />
research to real applications with a potentially large impact.<br />
<br />
Requirements:<br />
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.<br />
* Extensive programming experience in C/C++.<br />
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.<br />
* Fluency in English.<br />
<br />
Responsibilities:<br />
* Perform research in the context of the project (text summarization).<br />
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.<br />
* Publish the result of the research in top conferences or journals.<br />
* Be available to attend project meetings with the partners in the project.<br />
<br />
For applying to this position, please send an e-mail to Enrique<br />
Alfonseca (ealfonseca@google.com) including a paragraph on why you<br />
think you are a right person for the role, and a brief CV.<br />
<br />
== 4 PhD positions in spoken dialogue systems research ==<br />
<br />
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague<br />
* Job title: 4 PhD positions in spoken dialogue systems research<br />
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing<br />
* Location: Prague, Czech Republic<br />
* Deadline: 1 June 2012 <br />
* Date posted: 16 February 2012 <br />
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs<br />
<br />
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.<br />
<br />
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. <br />
<br />
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.<br />
<br />
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. <br />
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.<br />
<br />
== Several Positions in Data2Text (Natural Language Generation) ==<br />
<br />
* Employer: Data2Text<br />
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect<br />
* Specialty: natural language generation, analytics<br />
* Location: Aberdeen, Scotland, UK<br />
* Deadline: 2 March 2012 <br />
* Date posted: 7 February 2012 <br />
* Link to website: http://www.data2text.com/careers<br />
<br />
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)<br />
research group. We are looking to hire several people; please see our website for details<br />
http://www.data2text.com/careers<br />
<br />
This is a great opportunity for people who are keen on getting NLG technology<br />
out into the real world. In addition to the advertised positions, we're happy to talk<br />
to people who are knowledgeable about NLG and keen to develop commercial applications,<br />
but whose profiles do not fit the advertised positions.<br />
<br />
Information inquiries (from the ACL community) should be sent to Ehud Reiter<br />
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)<br />
<br />
== PhD-position in sentiment mining and reputation analysis==<br />
<br />
* Employer: Erasmus University Rotterdam<br />
* Job title: PhD-student <br />
* Specialty: text mining, sentiment analysis, topic detection, reputation management<br />
* Location: Rottterdam, The Netherlands <br />
* Deadline: 1 March 2012 <br />
* Date posted: 6 February 2012 <br />
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.<br />
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. <br />
<br />
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.<br />
<br />
== PhD-position in folktale classification and clustering ==<br />
* Employer: University of Twente<br />
* Job title: PhD-student<br />
* Specialty: text classification, document clustering, natural language processing<br />
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands<br />
* Deadline: 4 March 2012<br />
* Date posted: 6 February 2012<br />
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.<br />
<br />
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute. <br />
<br />
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
<br />
==Postdoc Position at Aberdeen University==<br />
* Employer: University of Aberdeen <br />
* Rank: Post-doctoral Research fellow<br />
* Speciality: Intelligent Language/Multimodal Interfaces<br />
* Location: Aberdeen, UK <br />
* Deadline: 10-Feb-2012 <br />
* Date Posted: 19-Jan-2012 <br />
* Contact email: yaji.sripada@abdn.ac.uk<br />
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009. <br />
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk <br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation. <br />
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage. <br />
As this post is externally funded it is available for a period of 2.5 years.<br />
<br />
For more details <br />
<br />
Go to: http://www.abdn.ac.uk/jobs/index.php<br />
Click on "External Applicants"<br />
Enter the Post Reference Number 1228867 and click "Search"<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9358Employment opportunities, postdoctoral positions, summer jobs2012-05-16T19:51:33Z<p>Joeltetreault: /* Associate Research Scientist (NLP) at Educational Testing Service */</p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
** Deadline<br />
** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]<br />
<br />
== Associate Research Scientist (NLP) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (NLP) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field. <br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset. <br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Engineer at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Engineer <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 15-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies. <br />
<br />
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.<br />
<br />
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.<br />
<br />
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.<br />
<br />
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.<br />
<br />
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.<br />
<br />
* Implement components of technical documentation of NLP software systems, solutions and results.<br />
<br />
* Attend area-wide staff training and development sessions. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.<br />
<br />
EXPERIENCE <br />
<br />
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.<br />
<br />
OTHER REQUIREMENTS<br />
* Knowledge of UNIX and Windows computing environments.<br />
<br />
* Familiarity with UNIX tools and scripting languages.<br />
<br />
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data. <br />
<br />
* Excellent verbal and written communication.<br />
<br />
<br />
'''APPLYING'''<br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org <br />
<br />
<br />
<br />
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==<br />
<br />
* Employer: Austrian Research Institute for Artificial Intelligence<br />
* Group: Language Technology<br />
* Title: Junior Researcher<br />
* Requirements:<br />
** Permission to work within the European union<br />
** Excellent English language skills; knowledge of the German language is a plus<br />
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)<br />
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)<br />
** Programming skills in C++, Perl and/or Java<br />
** Strong ability to work independently and drive an original research agenda <br />
* Deadline: June 15, 2012<br />
* Date Posted: May 14, 2012<br />
* Contact: harald.trost@ofai.at<br />
<br />
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties". <br />
<br />
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.<br />
<br />
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.<br />
<br />
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.<br />
<br />
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).<br />
<br />
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.<br />
<br />
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.<br />
<br />
<br />
== Junior Research Group Leaders at Saarland University ==<br />
<br />
* Employer: Saarland University, Germany<br />
* Division: MMCI Cluster of Excellence<br />
* Title: Junior Research Group Leaders<br />
* Job ID: W490<br />
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)<br />
* Location: Saarbrücken, Germany<br />
* Deadline: April 30, 2012<br />
* Date Posted: April 4, 2012<br />
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.<br />
<br />
Deadline for applications is April 30th, 2012.<br />
<br />
For the complete announcement see:<br />
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
<br />
Additional information on the excellence cluster is available on<br />
http://www.mmci.uni-saarland.de/<br />
<br />
<br />
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. <br />
<br />
== Scientist Position in Statistical Machine Translation at Microsoft ==<br />
<br />
* Employer: MICROSOFT<br />
* Division: Online Services Division<br />
* Title: Scientist Position<br />
* Job ID: 789594<br />
* Specialty: Statistical Machine Translation<br />
* Location: Bellevue, WA or Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 30, 2012<br />
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN<br />
<br />
Scientist Position in Statistical Machine Translation<br />
<br />
Research and Development Opportunities for Next Generation Technology at Microsoft<br />
<br />
Do you want to impact billions of people all over the world with speech technology that you create? <br />
<br />
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation, <br />
weighted finite state transducers, natural language processing and machine learning will be preferred.<br />
<br />
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages. <br />
<br />
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.<br />
<br />
<br />
<br />
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==<br />
<br />
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley<br />
* Title: Post MS, Post Doc, or above<br />
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning<br />
* Location: Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 21, 2012<br />
* Contact: patrick.w.langley@gmail.com<br />
<br />
An ongoing project has an opening for a researcher who will help extend<br />
Icarus, a cognitive architecture, to reason about other agents' mental<br />
states in the context of dialogues and joint activities. The framework<br />
uses a logical formalism to encode knowledge, beliefs, and goals, and<br />
it relies on a form of abduction to make plausible inferences. Experience<br />
in building reasoning systems that operate over rich representations is<br />
essential, and a background in applied logic, knowledge-based systems,<br />
and/or cognitive architectures is highly desirable.<br />
<br />
The location of the project will be Carnegie Mellon's Silicon Valley<br />
Campus. The start date is negotiable, but the position will be available<br />
on May 1, 2012, and the project has funding for another two years.<br />
Interested parties should send their curriculum vitae, along with<br />
the contact details for two or more references, to Pat Langley<br />
<patrick.w.langley@gmail.com>.<br />
<br />
<br />
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoc<br />
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor<br />
* Location: Chicago, IL<br />
* Deadline: As soon as possible<br />
* Date Posted: March 13, 2012<br />
* Contact: argamon@iit.edu<br />
<br />
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.<br />
<br />
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.<br />
<br />
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.<br />
<br />
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding. <br />
<br />
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.<br />
<br />
Review of applications will begin immediately and continue until the position is filled.<br />
<br />
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==<br />
<br />
* Employer: Google<br />
* Job title: Postdoc<br />
* Specialty: Natural Language Processing, Machine Learning, summarization<br />
* Location: Zurich, Switzerland<br />
* Deadline: we are looking to fill the position soon<br />
* Date posted: 1 March 2012<br />
<br />
A post-doctoral position in the area of automatic text summarization<br />
within the RENDER project is available at the Google Switzerland R&D<br />
office. RENDER is a EU FP7 research project focused on identifying<br />
diversity of opinions, viewpoints, mindsets and backgrounds in texts<br />
from different sources: news, (micro) blog streams, and in<br />
collaboratively written resources like Wikipedia. More information on<br />
the project goals is available at http://render-project.eu/.<br />
<br />
The duration of the post-doctoral contract will be one year, with the<br />
possibility of renewing for a second year. This position will allow<br />
the candidate to perform research on several NLP-related areas,<br />
to interact with the consortium partners and with other Google-internal<br />
research and development projects, and to apply the results of the<br />
research to real applications with a potentially large impact.<br />
<br />
Requirements:<br />
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.<br />
* Extensive programming experience in C/C++.<br />
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.<br />
* Fluency in English.<br />
<br />
Responsibilities:<br />
* Perform research in the context of the project (text summarization).<br />
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.<br />
* Publish the result of the research in top conferences or journals.<br />
* Be available to attend project meetings with the partners in the project.<br />
<br />
For applying to this position, please send an e-mail to Enrique<br />
Alfonseca (ealfonseca@google.com) including a paragraph on why you<br />
think you are a right person for the role, and a brief CV.<br />
<br />
== 4 PhD positions in spoken dialogue systems research ==<br />
<br />
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague<br />
* Job title: 4 PhD positions in spoken dialogue systems research<br />
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing<br />
* Location: Prague, Czech Republic<br />
* Deadline: 1 June 2012 <br />
* Date posted: 16 February 2012 <br />
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs<br />
<br />
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.<br />
<br />
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. <br />
<br />
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.<br />
<br />
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. <br />
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.<br />
<br />
== Several Positions in Data2Text (Natural Language Generation) ==<br />
<br />
* Employer: Data2Text<br />
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect<br />
* Specialty: natural language generation, analytics<br />
* Location: Aberdeen, Scotland, UK<br />
* Deadline: 2 March 2012 <br />
* Date posted: 7 February 2012 <br />
* Link to website: http://www.data2text.com/careers<br />
<br />
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)<br />
research group. We are looking to hire several people; please see our website for details<br />
http://www.data2text.com/careers<br />
<br />
This is a great opportunity for people who are keen on getting NLG technology<br />
out into the real world. In addition to the advertised positions, we're happy to talk<br />
to people who are knowledgeable about NLG and keen to develop commercial applications,<br />
but whose profiles do not fit the advertised positions.<br />
<br />
Information inquiries (from the ACL community) should be sent to Ehud Reiter<br />
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)<br />
<br />
== PhD-position in sentiment mining and reputation analysis==<br />
<br />
* Employer: Erasmus University Rotterdam<br />
* Job title: PhD-student <br />
* Specialty: text mining, sentiment analysis, topic detection, reputation management<br />
* Location: Rottterdam, The Netherlands <br />
* Deadline: 1 March 2012 <br />
* Date posted: 6 February 2012 <br />
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.<br />
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. <br />
<br />
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.<br />
<br />
== PhD-position in folktale classification and clustering ==<br />
* Employer: University of Twente<br />
* Job title: PhD-student<br />
* Specialty: text classification, document clustering, natural language processing<br />
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands<br />
* Deadline: 4 March 2012<br />
* Date posted: 6 February 2012<br />
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.<br />
<br />
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute. <br />
<br />
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
<br />
==Postdoc Position at Aberdeen University==<br />
* Employer: University of Aberdeen <br />
* Rank: Post-doctoral Research fellow<br />
* Speciality: Intelligent Language/Multimodal Interfaces<br />
* Location: Aberdeen, UK <br />
* Deadline: 10-Feb-2012 <br />
* Date Posted: 19-Jan-2012 <br />
* Contact email: yaji.sripada@abdn.ac.uk<br />
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009. <br />
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk <br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation. <br />
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage. <br />
As this post is externally funded it is available for a period of 2.5 years.<br />
<br />
For more details <br />
<br />
Go to: http://www.abdn.ac.uk/jobs/index.php<br />
Click on "External Applicants"<br />
Enter the Post Reference Number 1228867 and click "Search"<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9357Employment opportunities, postdoctoral positions, summer jobs2012-05-16T19:43:10Z<p>Joeltetreault: /* Associate Research Scientist (NLP) at Educational Testing Service */</p>
<hr />
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== Associate Research Scientist (NLP) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (NLP) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field. <br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems which are used to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset. <br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org<br />
<br />
== Associate Research Engineer at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Engineer <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 15-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies. <br />
<br />
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.<br />
<br />
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.<br />
<br />
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.<br />
<br />
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.<br />
<br />
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.<br />
<br />
* Implement components of technical documentation of NLP software systems, solutions and results.<br />
<br />
* Attend area-wide staff training and development sessions. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.<br />
<br />
EXPERIENCE <br />
<br />
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.<br />
<br />
OTHER REQUIREMENTS<br />
* Knowledge of UNIX and Windows computing environments.<br />
<br />
* Familiarity with UNIX tools and scripting languages.<br />
<br />
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data. <br />
<br />
* Excellent verbal and written communication.<br />
<br />
<br />
'''APPLYING'''<br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org <br />
<br />
<br />
<br />
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==<br />
<br />
* Employer: Austrian Research Institute for Artificial Intelligence<br />
* Group: Language Technology<br />
* Title: Junior Researcher<br />
* Requirements:<br />
** Permission to work within the European union<br />
** Excellent English language skills; knowledge of the German language is a plus<br />
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)<br />
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)<br />
** Programming skills in C++, Perl and/or Java<br />
** Strong ability to work independently and drive an original research agenda <br />
* Deadline: June 15, 2012<br />
* Date Posted: May 14, 2012<br />
* Contact: harald.trost@ofai.at<br />
<br />
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties". <br />
<br />
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.<br />
<br />
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.<br />
<br />
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.<br />
<br />
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).<br />
<br />
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.<br />
<br />
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.<br />
<br />
<br />
== Junior Research Group Leaders at Saarland University ==<br />
<br />
* Employer: Saarland University, Germany<br />
* Division: MMCI Cluster of Excellence<br />
* Title: Junior Research Group Leaders<br />
* Job ID: W490<br />
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)<br />
* Location: Saarbrücken, Germany<br />
* Deadline: April 30, 2012<br />
* Date Posted: April 4, 2012<br />
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.<br />
<br />
Deadline for applications is April 30th, 2012.<br />
<br />
For the complete announcement see:<br />
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
<br />
Additional information on the excellence cluster is available on<br />
http://www.mmci.uni-saarland.de/<br />
<br />
<br />
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. <br />
<br />
== Scientist Position in Statistical Machine Translation at Microsoft ==<br />
<br />
* Employer: MICROSOFT<br />
* Division: Online Services Division<br />
* Title: Scientist Position<br />
* Job ID: 789594<br />
* Specialty: Statistical Machine Translation<br />
* Location: Bellevue, WA or Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 30, 2012<br />
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN<br />
<br />
Scientist Position in Statistical Machine Translation<br />
<br />
Research and Development Opportunities for Next Generation Technology at Microsoft<br />
<br />
Do you want to impact billions of people all over the world with speech technology that you create? <br />
<br />
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation, <br />
weighted finite state transducers, natural language processing and machine learning will be preferred.<br />
<br />
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages. <br />
<br />
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.<br />
<br />
<br />
<br />
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==<br />
<br />
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley<br />
* Title: Post MS, Post Doc, or above<br />
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning<br />
* Location: Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 21, 2012<br />
* Contact: patrick.w.langley@gmail.com<br />
<br />
An ongoing project has an opening for a researcher who will help extend<br />
Icarus, a cognitive architecture, to reason about other agents' mental<br />
states in the context of dialogues and joint activities. The framework<br />
uses a logical formalism to encode knowledge, beliefs, and goals, and<br />
it relies on a form of abduction to make plausible inferences. Experience<br />
in building reasoning systems that operate over rich representations is<br />
essential, and a background in applied logic, knowledge-based systems,<br />
and/or cognitive architectures is highly desirable.<br />
<br />
The location of the project will be Carnegie Mellon's Silicon Valley<br />
Campus. The start date is negotiable, but the position will be available<br />
on May 1, 2012, and the project has funding for another two years.<br />
Interested parties should send their curriculum vitae, along with<br />
the contact details for two or more references, to Pat Langley<br />
<patrick.w.langley@gmail.com>.<br />
<br />
<br />
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoc<br />
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor<br />
* Location: Chicago, IL<br />
* Deadline: As soon as possible<br />
* Date Posted: March 13, 2012<br />
* Contact: argamon@iit.edu<br />
<br />
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.<br />
<br />
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.<br />
<br />
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.<br />
<br />
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding. <br />
<br />
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.<br />
<br />
Review of applications will begin immediately and continue until the position is filled.<br />
<br />
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==<br />
<br />
* Employer: Google<br />
* Job title: Postdoc<br />
* Specialty: Natural Language Processing, Machine Learning, summarization<br />
* Location: Zurich, Switzerland<br />
* Deadline: we are looking to fill the position soon<br />
* Date posted: 1 March 2012<br />
<br />
A post-doctoral position in the area of automatic text summarization<br />
within the RENDER project is available at the Google Switzerland R&D<br />
office. RENDER is a EU FP7 research project focused on identifying<br />
diversity of opinions, viewpoints, mindsets and backgrounds in texts<br />
from different sources: news, (micro) blog streams, and in<br />
collaboratively written resources like Wikipedia. More information on<br />
the project goals is available at http://render-project.eu/.<br />
<br />
The duration of the post-doctoral contract will be one year, with the<br />
possibility of renewing for a second year. This position will allow<br />
the candidate to perform research on several NLP-related areas,<br />
to interact with the consortium partners and with other Google-internal<br />
research and development projects, and to apply the results of the<br />
research to real applications with a potentially large impact.<br />
<br />
Requirements:<br />
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.<br />
* Extensive programming experience in C/C++.<br />
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.<br />
* Fluency in English.<br />
<br />
Responsibilities:<br />
* Perform research in the context of the project (text summarization).<br />
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.<br />
* Publish the result of the research in top conferences or journals.<br />
* Be available to attend project meetings with the partners in the project.<br />
<br />
For applying to this position, please send an e-mail to Enrique<br />
Alfonseca (ealfonseca@google.com) including a paragraph on why you<br />
think you are a right person for the role, and a brief CV.<br />
<br />
== 4 PhD positions in spoken dialogue systems research ==<br />
<br />
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague<br />
* Job title: 4 PhD positions in spoken dialogue systems research<br />
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing<br />
* Location: Prague, Czech Republic<br />
* Deadline: 1 June 2012 <br />
* Date posted: 16 February 2012 <br />
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs<br />
<br />
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.<br />
<br />
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. <br />
<br />
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.<br />
<br />
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. <br />
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.<br />
<br />
== Several Positions in Data2Text (Natural Language Generation) ==<br />
<br />
* Employer: Data2Text<br />
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect<br />
* Specialty: natural language generation, analytics<br />
* Location: Aberdeen, Scotland, UK<br />
* Deadline: 2 March 2012 <br />
* Date posted: 7 February 2012 <br />
* Link to website: http://www.data2text.com/careers<br />
<br />
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)<br />
research group. We are looking to hire several people; please see our website for details<br />
http://www.data2text.com/careers<br />
<br />
This is a great opportunity for people who are keen on getting NLG technology<br />
out into the real world. In addition to the advertised positions, we're happy to talk<br />
to people who are knowledgeable about NLG and keen to develop commercial applications,<br />
but whose profiles do not fit the advertised positions.<br />
<br />
Information inquiries (from the ACL community) should be sent to Ehud Reiter<br />
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)<br />
<br />
== PhD-position in sentiment mining and reputation analysis==<br />
<br />
* Employer: Erasmus University Rotterdam<br />
* Job title: PhD-student <br />
* Specialty: text mining, sentiment analysis, topic detection, reputation management<br />
* Location: Rottterdam, The Netherlands <br />
* Deadline: 1 March 2012 <br />
* Date posted: 6 February 2012 <br />
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.<br />
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. <br />
<br />
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.<br />
<br />
== PhD-position in folktale classification and clustering ==<br />
* Employer: University of Twente<br />
* Job title: PhD-student<br />
* Specialty: text classification, document clustering, natural language processing<br />
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands<br />
* Deadline: 4 March 2012<br />
* Date posted: 6 February 2012<br />
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.<br />
<br />
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute. <br />
<br />
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
<br />
==Postdoc Position at Aberdeen University==<br />
* Employer: University of Aberdeen <br />
* Rank: Post-doctoral Research fellow<br />
* Speciality: Intelligent Language/Multimodal Interfaces<br />
* Location: Aberdeen, UK <br />
* Deadline: 10-Feb-2012 <br />
* Date Posted: 19-Jan-2012 <br />
* Contact email: yaji.sripada@abdn.ac.uk<br />
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009. <br />
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk <br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation. <br />
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage. <br />
As this post is externally funded it is available for a period of 2.5 years.<br />
<br />
For more details <br />
<br />
Go to: http://www.abdn.ac.uk/jobs/index.php<br />
Click on "External Applicants"<br />
Enter the Post Reference Number 1228867 and click "Search"<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9356Employment opportunities, postdoctoral positions, summer jobs2012-05-16T19:41:51Z<p>Joeltetreault: adding ETS Assoc Res Scientist (NLP) job posting</p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
** Deadline<br />
** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]<br />
<br />
== Associate Research Scientist (NLP) at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Scientist (NLP) <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 16-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field. <br />
<br />
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems which are used to improve assessments, learning tools and test development practices. <br />
<br />
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services. <br />
<br />
* Develop and oversee the conduct of selected portions of research proposals and project budgets.<br />
<br />
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.<br />
<br />
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.<br />
<br />
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.<br />
<br />
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.<br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
<br />
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.<br />
<br />
EXPERIENCE<br />
<br />
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset. <br />
<br />
<br />
'''APPLYING''' <br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org <br />
<br />
<br />
== Associate Research Engineer at Educational Testing Service ==<br />
<br />
* Employer: Educational Testing Service (www.ets.org) <br />
* Job Title: Associate Research Engineer <br />
* Location: Princeton, NJ <br />
* Deadline: Open until filled <br />
* Date Posted: 15-May-2012 <br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]<br />
* Contact email: dyanchuk@ets.org <br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).<br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies. <br />
<br />
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.<br />
<br />
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.<br />
<br />
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.<br />
<br />
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.<br />
<br />
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.<br />
<br />
* Implement components of technical documentation of NLP software systems, solutions and results.<br />
<br />
* Attend area-wide staff training and development sessions. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION <br />
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.<br />
<br />
EXPERIENCE <br />
<br />
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.<br />
<br />
OTHER REQUIREMENTS<br />
* Knowledge of UNIX and Windows computing environments.<br />
<br />
* Familiarity with UNIX tools and scripting languages.<br />
<br />
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data. <br />
<br />
* Excellent verbal and written communication.<br />
<br />
<br />
'''APPLYING'''<br />
<br />
Interested parties can apply for the position through the following website: <br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend<br />
<br />
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org <br />
<br />
<br />
<br />
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==<br />
<br />
* Employer: Austrian Research Institute for Artificial Intelligence<br />
* Group: Language Technology<br />
* Title: Junior Researcher<br />
* Requirements:<br />
** Permission to work within the European union<br />
** Excellent English language skills; knowledge of the German language is a plus<br />
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)<br />
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)<br />
** Programming skills in C++, Perl and/or Java<br />
** Strong ability to work independently and drive an original research agenda <br />
* Deadline: June 15, 2012<br />
* Date Posted: May 14, 2012<br />
* Contact: harald.trost@ofai.at<br />
<br />
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties". <br />
<br />
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.<br />
<br />
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.<br />
<br />
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.<br />
<br />
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).<br />
<br />
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.<br />
<br />
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.<br />
<br />
<br />
== Junior Research Group Leaders at Saarland University ==<br />
<br />
* Employer: Saarland University, Germany<br />
* Division: MMCI Cluster of Excellence<br />
* Title: Junior Research Group Leaders<br />
* Job ID: W490<br />
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)<br />
* Location: Saarbrücken, Germany<br />
* Deadline: April 30, 2012<br />
* Date Posted: April 4, 2012<br />
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.<br />
<br />
Deadline for applications is April 30th, 2012.<br />
<br />
For the complete announcement see:<br />
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf<br />
<br />
<br />
Additional information on the excellence cluster is available on<br />
http://www.mmci.uni-saarland.de/<br />
<br />
<br />
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. <br />
<br />
== Scientist Position in Statistical Machine Translation at Microsoft ==<br />
<br />
* Employer: MICROSOFT<br />
* Division: Online Services Division<br />
* Title: Scientist Position<br />
* Job ID: 789594<br />
* Specialty: Statistical Machine Translation<br />
* Location: Bellevue, WA or Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 30, 2012<br />
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN<br />
<br />
Scientist Position in Statistical Machine Translation<br />
<br />
Research and Development Opportunities for Next Generation Technology at Microsoft<br />
<br />
Do you want to impact billions of people all over the world with speech technology that you create? <br />
<br />
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation, <br />
weighted finite state transducers, natural language processing and machine learning will be preferred.<br />
<br />
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages. <br />
<br />
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.<br />
<br />
<br />
<br />
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==<br />
<br />
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley<br />
* Title: Post MS, Post Doc, or above<br />
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning<br />
* Location: Mountain Vew, CA<br />
* Deadline: As soon as possible<br />
* Date Posted: March 21, 2012<br />
* Contact: patrick.w.langley@gmail.com<br />
<br />
An ongoing project has an opening for a researcher who will help extend<br />
Icarus, a cognitive architecture, to reason about other agents' mental<br />
states in the context of dialogues and joint activities. The framework<br />
uses a logical formalism to encode knowledge, beliefs, and goals, and<br />
it relies on a form of abduction to make plausible inferences. Experience<br />
in building reasoning systems that operate over rich representations is<br />
essential, and a background in applied logic, knowledge-based systems,<br />
and/or cognitive architectures is highly desirable.<br />
<br />
The location of the project will be Carnegie Mellon's Silicon Valley<br />
Campus. The start date is negotiable, but the position will be available<br />
on May 1, 2012, and the project has funding for another two years.<br />
Interested parties should send their curriculum vitae, along with<br />
the contact details for two or more references, to Pat Langley<br />
<patrick.w.langley@gmail.com>.<br />
<br />
<br />
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==<br />
<br />
* Employer: Illinois Institute of Technology<br />
* Title: Postdoc<br />
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor<br />
* Location: Chicago, IL<br />
* Deadline: As soon as possible<br />
* Date Posted: March 13, 2012<br />
* Contact: argamon@iit.edu<br />
<br />
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.<br />
<br />
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.<br />
<br />
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.<br />
<br />
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding. <br />
<br />
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.<br />
<br />
Review of applications will begin immediately and continue until the position is filled.<br />
<br />
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==<br />
<br />
* Employer: Google<br />
* Job title: Postdoc<br />
* Specialty: Natural Language Processing, Machine Learning, summarization<br />
* Location: Zurich, Switzerland<br />
* Deadline: we are looking to fill the position soon<br />
* Date posted: 1 March 2012<br />
<br />
A post-doctoral position in the area of automatic text summarization<br />
within the RENDER project is available at the Google Switzerland R&D<br />
office. RENDER is a EU FP7 research project focused on identifying<br />
diversity of opinions, viewpoints, mindsets and backgrounds in texts<br />
from different sources: news, (micro) blog streams, and in<br />
collaboratively written resources like Wikipedia. More information on<br />
the project goals is available at http://render-project.eu/.<br />
<br />
The duration of the post-doctoral contract will be one year, with the<br />
possibility of renewing for a second year. This position will allow<br />
the candidate to perform research on several NLP-related areas,<br />
to interact with the consortium partners and with other Google-internal<br />
research and development projects, and to apply the results of the<br />
research to real applications with a potentially large impact.<br />
<br />
Requirements:<br />
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.<br />
* Extensive programming experience in C/C++.<br />
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.<br />
* Fluency in English.<br />
<br />
Responsibilities:<br />
* Perform research in the context of the project (text summarization).<br />
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.<br />
* Publish the result of the research in top conferences or journals.<br />
* Be available to attend project meetings with the partners in the project.<br />
<br />
For applying to this position, please send an e-mail to Enrique<br />
Alfonseca (ealfonseca@google.com) including a paragraph on why you<br />
think you are a right person for the role, and a brief CV.<br />
<br />
== 4 PhD positions in spoken dialogue systems research ==<br />
<br />
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague<br />
* Job title: 4 PhD positions in spoken dialogue systems research<br />
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing<br />
* Location: Prague, Czech Republic<br />
* Deadline: 1 June 2012 <br />
* Date posted: 16 February 2012 <br />
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs<br />
<br />
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.<br />
<br />
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. <br />
<br />
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.<br />
<br />
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. <br />
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.<br />
<br />
== Several Positions in Data2Text (Natural Language Generation) ==<br />
<br />
* Employer: Data2Text<br />
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect<br />
* Specialty: natural language generation, analytics<br />
* Location: Aberdeen, Scotland, UK<br />
* Deadline: 2 March 2012 <br />
* Date posted: 7 February 2012 <br />
* Link to website: http://www.data2text.com/careers<br />
<br />
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)<br />
research group. We are looking to hire several people; please see our website for details<br />
http://www.data2text.com/careers<br />
<br />
This is a great opportunity for people who are keen on getting NLG technology<br />
out into the real world. In addition to the advertised positions, we're happy to talk<br />
to people who are knowledgeable about NLG and keen to develop commercial applications,<br />
but whose profiles do not fit the advertised positions.<br />
<br />
Information inquiries (from the ACL community) should be sent to Ehud Reiter<br />
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)<br />
<br />
== PhD-position in sentiment mining and reputation analysis==<br />
<br />
* Employer: Erasmus University Rotterdam<br />
* Job title: PhD-student <br />
* Specialty: text mining, sentiment analysis, topic detection, reputation management<br />
* Location: Rottterdam, The Netherlands <br />
* Deadline: 1 March 2012 <br />
* Date posted: 6 February 2012 <br />
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.<br />
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. <br />
<br />
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions<br />
<br />
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.<br />
<br />
== PhD-position in folktale classification and clustering ==<br />
* Employer: University of Twente<br />
* Job title: PhD-student<br />
* Specialty: text classification, document clustering, natural language processing<br />
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands<br />
* Deadline: 4 March 2012<br />
* Date posted: 6 February 2012<br />
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.<br />
<br />
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute. <br />
<br />
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
<br />
==Postdoc Position at Aberdeen University==<br />
* Employer: University of Aberdeen <br />
* Rank: Post-doctoral Research fellow<br />
* Speciality: Intelligent Language/Multimodal Interfaces<br />
* Location: Aberdeen, UK <br />
* Deadline: 10-Feb-2012 <br />
* Date Posted: 19-Jan-2012 <br />
* Contact email: yaji.sripada@abdn.ac.uk<br />
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009. <br />
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk <br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation. <br />
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage. <br />
As this post is externally funded it is available for a period of 2.5 years.<br />
<br />
For more details <br />
<br />
Go to: http://www.abdn.ac.uk/jobs/index.php<br />
Click on "External Applicants"<br />
Enter the Post Reference Number 1228867 and click "Search"<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=9168Employment opportunities, postdoctoral positions, summer jobs2012-01-28T16:03:38Z<p>Joeltetreault: Adding new RA job position</p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
** Deadline<br />
** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]<br />
<br />
==Research Associate Position at Educational Testing Service==<br />
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])<br />
* Job Title: Research Associate<br />
* Location: Princeton, NJ<br />
* Deadline: Open until filled<br />
* Date Posted: 28-Jan-2012<br />
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]<br />
* Contact email: dyanchuk@ets.org<br />
<br />
<br />
'''JOB DESCRIPTION'''<br />
<br />
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation. <br />
<br />
<br />
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''<br />
<br />
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.<br />
<br />
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.<br />
<br />
* Plan and manage annotations for a variety of projects. <br />
<br />
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.<br />
<br />
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.<br />
<br />
* Design original research instruments and methods and applications of research.<br />
<br />
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers. <br />
<br />
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.<br />
<br />
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.<br />
<br />
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.<br />
<br />
* Contact, establish, and develop relationships with research community and with data sources.<br />
<br />
* Arrange and attend conferences and meetings; present research findings at professional meetings. <br />
<br />
<br />
'''EXPERIENCE AND SKILLS'''<br />
<br />
EDUCATION<br />
<br />
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary. <br />
<br />
EXPERIENCE<br />
<br />
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects. <br />
<br />
APPLYING<br />
<br />
Interested parties can apply for the position through the following website:<br />
<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 <br />
<br />
If there are any questions, please contact:<br />
<br />
Dave Yanchuk<br />
(609) 406-5291<br />
dyanchuk@ets.org<br />
<br />
<br />
<br />
<br />
<br />
==Postdoc Position at HRL Laboratories==<br />
* Employer: HRL Laboratories, LLC<br />
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining<br />
* Location: Malibu, CA<br />
* Deadline: Open until filled<br />
* Date Posted: 26-Jan-2012<br />
* Contact email: hmoon@hrl.com<br />
<br />
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information. <br />
For job considerations, please send your cover letter and CV to hmoon@hrl.com. <br />
<br />
Job Description:<br />
<br />
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields <br />
<br />
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise. <br />
<br />
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. <br />
<br />
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus. <br />
<br />
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel. <br />
<br />
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required. <br />
<br />
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.<br />
<br />
<br />
==Postdoc Position at Aberdeen University==<br />
* Employer: University of Aberdeen <br />
* Rank: Post-doctoral Research fellow<br />
* Speciality: Intelligent Language/Multimodal Interfaces<br />
* Location: Aberdeen, UK <br />
* Deadline: 10-Feb-2012 <br />
* Date Posted: 19-Jan-2012 <br />
* Contact email: yaji.sripada@abdn.ac.uk<br />
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009. <br />
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk <br />
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation. <br />
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage. <br />
As this post is externally funded it is available for a period of 2.5 years.<br />
<br />
For more details <br />
<br />
Go to: http://www.abdn.ac.uk/jobs/index.php<br />
Click on "External Applicants"<br />
Enter the Post Reference Number 1228867 and click "Search"<br />
<br />
==Postdoc or Research Associate - Natural Language Processing==<br />
* Employer: IHMC (www.ihmc.us)<br />
* Rank or Title: Research Associate - Natural Language Processing<br />
* Specialty: Computational Linguistics, Natural Language Processing<br />
* Location: Ocala, FL<br />
* Deadline: Applications accepted until position is filled<br />
* Date Posted: January 3rd, 2012<br />
* Contact email ywilks@ihmc.us<br />
<br />
'''About Us'''<br />
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.<br />
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.<br />
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.<br />
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.<br />
<br />
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.<br />
<br />
Required:<br />
<br />
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications<br />
<br />
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.<br />
<br />
▪ Ph.D. in computational linguistics / natural language processing or related areas.<br />
<br />
Skills and Experience:<br />
<br />
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.<br />
<br />
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.<br />
<br />
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.<br />
<br />
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.<br />
<br />
Apply to Yorick Wilks at: ywilks@ihmc.us<br />
<br />
<br />
<br />
<br />
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==<br />
* Employer: Queens College of the City University of New York<br />
* Location: New York, NY<br />
* Deadline: Review of applications to begin on March 1, 2012<br />
* Website: http://www.cs.qc.cuny.edu/<br />
* Date posted: January 4, 2012<br />
<br />
'''Visiting Assistant/Associate/Full Professor'''<br />
<br />
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.<br />
<br />
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.<br />
<br />
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/<br />
<br />
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.<br />
<br />
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:<br />
<br />
Dr. Matt Huenerfauth, Search Committee Chair <br />
<br />
Department of Computer Science <br />
<br />
Queens College-CUNY <br />
<br />
65-30 Kissena Blvd. <br />
<br />
Flushing, New York 11365-1597 <br />
<br />
matthew.huenerfauth (at) qc.cuny.edu<br />
<br />
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.<br />
<br />
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.<br />
<br />
== Researcher speech/language processing - AT&T Labs, NJ ==<br />
* Employer: AT&T Labs - Research <br />
* Location: Florham Park, NJ<br />
* Deadline: applications accepted until position is filled<br />
* Website: http://www.research.att.com<br />
* Date posted: 23/12/2011<br />
<br />
AT&T Labs - Research<br />
<br />
Researcher and Research Software Engineer Positions<br />
<br />
AT&T Research, one of the premier industrial research laboratories in<br />
the world, is looking for talented individuals to make a difference in<br />
the world of communications. Our researchers and research software<br />
engineers are dedicated to solving real problems in speech and language<br />
processing, and are involved in inventing, creating and deploying<br />
innovative services. We also explore fundamental research problems in<br />
these areas. Outstanding Ph.D.-level candidates at all levels of<br />
experience are encouraged to apply. Candidates must demonstrate<br />
excellence in research, a collaborative spirit and strong communication<br />
and software skills.<br />
<br />
Areas of particular interest are<br />
<br />
* Large-vocabulary automatic speech recognition<br />
* Acoustic and language modeling<br />
* Robust speech recognition<br />
* Signal processing<br />
* Adaptive learning<br />
* Pronunciation modeling<br />
* Natural language understanding and dialog<br />
* Speaker biometrics<br />
* Voice and multimodal search<br />
* Software engineering for speech and language processing<br />
<br />
Positions will be based in New Jersey, New York, or California,<br />
depending on area of focus.<br />
<br />
For more information, visit www.research.att.com and click on "Working<br />
with us".<br />
<br />
AT&T Companies are Equal Opportunity Employers. All qualified candidates <br />
submitting a complete application by January 31, 2012 will receive full <br />
and fair consideration for employment.<br />
<br />
== [[File:euroscript-logo.jpg]]Globalization Process Expert (M/F) - Berlin ==<br />
<br />
* Employer: euroscript Deutschland GmbH <br />
* Location: Berlin, Germany<br />
* Deadline: applications accepted until position is filled<br />
* Website: http://www.euroscript.de<br />
* Date posted: 22/12/2011<br />
* Start date: ASAP<br />
<br />
euroscript International is a leader in providing customers with global solutions in content lifecycle management. The euroscript divisions deliver comprehensive solutions that help customers design, build and run content management operations of all sizes. Thanks to its employees' expertise in the fields of language services, content and document management and system integration, euroscript is able to help businesses around the world to manage content more efficiently.<br />
With a market presence in over 17 countries, euroscript serves customers in a variety of business sectors including the public sector, aerospace, defence and transport, manufacturing, life sciences, financial services and energy and environment.<br />
<br />
We are looking for experts in linguistic technology (including but not limited to, authoring sys-tems, workflow automation, and CAT tools) to join our global team. The position is based in Berlin, Germany. euroscript Deutschland GmbH is part of euroscript International S.A.<br />
<br />
'''Your responsibilities:'''<br />
<br />
** Design and implementation of technology components for euroscript’s internal language services production;<br />
** Analysis of authoring, translation and terminology workflows and tools both within euroscript and as part of consultancy services for euroscript customers;<br />
** Evaluation and optimization of such workflows and creation of recommendations, designs, and consultancy offers for our customers;<br />
** Project Management for internal and external technology projects;<br />
** Permanent monitoring of on-going market, technological and scientific developments in the area of translation, authoring and process automation <br />
<br />
'''Your profile:'''<br />
<br />
Required:<br />
** MSc/degree or comparable university degree, preferably in computer science, computational linguistics, technical authoring, engineering or similar;<br />
** Broad understanding of tasks, tools and developments in the area of technical documentation, translation and natural language processing;<br />
** At least five years of professional experience as expert or consultant in the area of technical documentation and/or translation management;<br />
** Experience in IT project management and methodologies;<br />
** Good communication and presentation skills both in German and English;<br />
** Ability to write technical documents or offers in German and English;<br />
** Independent, open–minded and proactive;<br />
** Able to work harmoniously with colleagues in an international, multidisciplinary team, and with a multilingual user community<br />
<br />
Preferred:<br />
** Programming experience;<br />
** Familiarity with further EU languages <br />
<br />
Are you looking for a new challenge? Are you ready to join an international, dynamic and goal-oriented environment? If so, please send us your full application, indicating the reference GPE- -12/2011, to the following e-mail address: jobapplication@euroscript.de.<br />
<br />
euroscript Deutschland GmbH<br />
Alt-Moabit 91<br />
D-10559 Berlin<br />
jobapplication@euroscript.de<br />
www.euroscript.de<br />
<br />
<br />
==Front-End Developer for Speech Applications (Fluential Inc.)==<br />
*'''Title: Front-End Developer'''<br />
*'''Location: Sunnyvale'''<br />
*'''Status: Regular, Full-time, Exempt'''<br />
*'''Deadline: Until filled'''<br />
*'''Date Posted: 20 Dec 2011'''<br />
<br />
Fluential is a well-funded, early-stage company that has developed a cutting-edge platform that uses natural language technologies to enable computers and smart phones to understand speech and either translate it to different language or perform other complex tasks. The company is now developing innovative commercial products that solve important, high-value problems in specific vertical industries including healthcare, construction, and travel.<br />
<br />
Fluential offers excellent opportunities for employees to grow and share in our success. We offer competitive compensation, excellent benefits and a creative work environment.<br />
<br />
'''Job Description'''<br />
<br />
We are currently seeking talented software engineers to join our hands-on technical team to work on our next generation speech based technology. The ideal candidate will be capable of building usable, well-designed, and good-looking user interfaces using HTML, Javascript, or Ruby on Rails. The candidate should have a proven experience in anticipating customer needs. This position will work closely with a team of technology experts to define, develop, test, and deploy our target application.<br />
<br />
'''Job Responsibilities'''<br />
<br />
*Be a contributing member of a cross-functional scrum team in charge of delivering new features on a regular basis<br />
*Interact with product owners and customers to understand the requirements before building a new feature.<br />
*Interact with server side developers and architects to deliver vertical slices of functionality<br />
*Participate with scrum team to plan and commit to each iteration of work.<br />
*Drive towards delivery of those commitments throughout the iteration and raise risks early.<br />
*Build quality user interfaces using best practices in design and usability.<br />
*Participate in code reviews, test plan reviews, and doc reviews.<br />
*Be open to learning new technologies and new problem domains.<br />
<br />
<br />
'''Job Qualifications'''<br />
<br />
*BS or MS in Computer Science or related field of study<br />
*Minimum2-3 years development experience preferred<br />
*Experience with Client-side HTML, Javascript<br />
*Ruby on Rails, Python, PHP, Perl or Java is a plus<br />
*Excellent communication and teamwork skills<br />
*Passion for creating bleeding-edge technology<br />
*Creative thinker and problem solver<br />
<br />
<br />
Qualified candidates are encouraged to send a resume & cover letter to [mailto:jobs@fluentialinc.com jobs@fluentialinc.com]<br />
<br />
Fluential is an Equal Opportunity Employer. To learn more, please visit us online at [http://www.fluentialinc.com http://www.fluentialinc.com]<br />
<br />
<br />
==Mobile Engineer for Speech Applications (Fluential Inc.)==<br />
*'''Title: Mobile App Engineer'''<br />
*'''Location: Sunnyvale'''<br />
*'''Status: Regular, Full-time, Exempt'''<br />
*'''Deadline: Until filled'''<br />
*'''Date Posted: 19 Dec 2011'''<br />
<br />
<br />
Fluential, Inc. is a well-funded startup with a cutting-edge technology focused on speech recognition and machine translation. Our disruptive, capital-efficient, patent-pending platform is applicable to a variety of environments where multiple languages inhibit communication.<br />
<br />
With an exciting, evolving product, Fluential, Inc. offers excellent opportunities for employees to grow and share in our success. We offer competitive compensation, excellent benefits and a creative work environment.<br />
<br />
'''Job Description:'''<br />
<br />
We are currently seeking talented software engineers to join our hands-on technical team to work on our next generation mobile apps. The mobile app engineer is instrumental in expanding our technology to the mobile platform, including design, implementation, testing, and support of the product on the mobile platform. This position will work closely with a team of technology experts to define, develop, test, and deploy software applications in the speech recognition and machine translation field. <br />
<br />
'''Job Responsibilities:'''<br />
<br />
* Participate in all phases of development from definition and design through implementation, debugging and testing<br />
* Work closely with other developers in the team to find solutions for difficult problems<br />
* Produce clear and complete functional and design specifications<br />
* Provide expert and timely support for customer issues that reach the development team<br />
* Participate in analyzing customer requirements and defining product specifications <br />
<br />
'''Job Qualifications:'''<br />
<br />
* BS or MS in Computer Science or related field of study<br />
* 1-2 years development experience preferred<br />
* Experience with App development on iOS or Android<br />
* Strong knowledge of one or more: C#, Objective C, Javascript, Java<br />
* Ability to quickly learn a complex existing code base with minimal instruction<br />
* Excellent communication and teamwork skills<br />
* Passion for technology, excellence and quality<br />
* Creative thinker and problem solver<br />
<br />
Qualified candidates are encouraged to send your resume and cover letter to [mailto:jobs@fluentialinc.com jobs@fluentialinc.com].<br />
<br />
Fluential, Inc. is an Equal Opportunity Employer. To learn more, please visit us online at [http://www.fluentialinc.com http://www.fluentialinc.com]<br />
<br />
== Researchers in NLG (Aberdeen University) ==<br />
* Employer: University of Aberdeen <br />
* Rank: Research assistant or fellow<br />
* Speciality: Natural Language Generation<br />
* Location: Aberdeen, UK <br />
* Deadline: 28-Nov-2011 <br />
* Date Posted: 20-Dec-2011 <br />
* Contact email: c.mellish@abdn.ac.uk<br />
dot.rural is a large multi-disciplinary project at<br />
Aberdeen University which is developing transformational IT<br />
technology to support rural communities. Within dot.rural,<br />
we are looking for researchers to work on applied NLG-related<br />
projects in health care, conservation and environment,<br />
and transport.<br />
<br />
We are currently advertising for one post-doctoral research<br />
fellow and one pre-doctoral research assistant; it is likely<br />
that we will soon be advertising for a second post-doctoral<br />
research fellow. These are general positions within dot.rural,<br />
there is some flexibility about which specific projects<br />
each researcher works on. If you are interested in working for<br />
dot.rural, please contact Chris Mellish (c.mellish@abdn.ac.uk),<br />
who is in charge of NLG activities in dot.rural<br />
<br />
For information, please see<br />
* http://www.dotrural.ac.uk/ - dot.rural website<br />
* http://www.dotrural.ac.uk/engage - page on "engaging with users", which includes links to most NLG-related projects in dot.rural<br />
* http://www.abdn.ac.uk/ncs/computing/research/nlg/ - Aberdeen NLG group<br />
* http://www.abdn.ac.uk/jobs/index.php - official announcements of vacancies <br />
<br />
<br />
== Computational linguist (Seattle) ==<br />
* Employer: The Lingua Team <br />
* Rank: Employee or contractor<br />
* Speciality: Natural Language Processing <br />
* Location: Seattle area, WA, USA (working at a client location) <br />
* Deadline: 11/25/2011 <br />
* Date Posted: 11/13/2011 <br />
* Contact email: info@thelinguateam.com <br />
The Lingua Team, a company based in the Seattle area, dedicated to specialized linguistic services is looking for a computational linguist with native or near native knowledge of one or more European languages. Please, email your resume for consideration. This is a 1-year contract, with potential to be extended long term. <br />
<br />
<br />
== [[File:euroscript-logo.jpg]]Linguistic Solutions Architect (M/F) ==<br />
<br />
* Employer: euroscript Luxembourg S.à r.l. <br />
* Location: Bertrange, Luxembourg or Berlin, Germany<br />
* Deadline: applications accepted until position is filled<br />
* Website: http://www.euroscript.com<br />
* Date posted: 31/10/2011<br />
* Start date: ASAP<br />
<br />
'''Your role:'''<br />
<br />
As part of a global team, we are looking for experts in linguistic technology, including but not limited to, statistical machine translation (SMT), open source tools, and automation workflows.<br />
<br />
'''Your responsibilities:'''<br />
<br />
** Design, implementation and maintenance of components for euroscript’s internal machine translation services;<br />
** Analysis of project workflows with respect to leverage of machine translation, definition of project-specific requirements on the machine translation service;<br />
** Evaluation and optimization of the performance of the machine translation service;<br />
** Permanent survey of on-going market, technological and scientific developments in the area of translation automation <br />
<br />
'''Your profile:'''<br />
<br />
Required:<br />
** MSc/Diploma in computational linguistics or computer science with good knowledge of machine translation (MT), as well as a broad overview of tasks, tools and developments in the area of natural language processing;<br />
** High familiarity with recent developments in SMT;<br />
** Ability to translate ideas from scientific research to practical application in a commercial environment;<br />
** At least three years of programming experience;<br />
** Ability to write technical documents and scientific papers in English;<br />
** Independent and open minded, with a strong sense of initiative;<br />
** Able to work harmoniously with other members within an international, multidisciplinary team, and with a multilingual user community;<br />
** Prior practical experience with statistical and/or grammar-based MT systems; <br />
** Good oral and written command of English is required<br />
<br />
Preferred:<br />
** Practical experience with open source statistical machine translation systems (e.g. Moses);<br />
** Programming experience with Python;<br />
** Familiarity with further EU languages (preferably French, Dutch or German);<br />
** Experience in the translation environment and with CAT-Tools<br />
<br />
Are you looking for a new challenge? Are you ready to join an international, dynamic and goal-oriented environment? If so, please send us your full application, indicating the reference LSA-10/2011 at the following email address: careers@euroscript.com<br />
<br />
'''About us:''' <br />
<br />
euroscript International is a leader in providing customers with global solutions in content lifecycle management. The euroscript divisions deliver comprehensive solutions that help customers design, build and run content management operations of all sizes. Thanks to its employees' expertise in the fields of language services, content and document management and system integration, euroscript is able to help businesses around the world to manage content more efficiently.<br />
<br />
With a market presence in over 16 countries, euroscript serves customers in a variety of business sectors including the public sector, aerospace, defence and transport, manufacturing, life sciences, financial services and energy and environment.<br />
euroscript Luxembourg S.à.r.l. is part of euroscript International S.A.<br />
<br />
== Practical Natural Language Processing and Text Mining Professional ==<br />
<br />
** Employer: ComplaintLink <br />
** Specialty: Specialty: entity named extraction, text mining, machine learning algorithms <br />
** Location: H.O. in Toronto but you can work off-site anywhere in the world<br />
** Deadline: Applications accepted until the position is filled<br />
** Date Posted: October 14, 2011 <br />
** Start Date: ASAP<br />
** Duration: contract position - 2 to 4 months<br />
<br />
<p><strong>Position: Complaint Link Inc. is interested in hiring an off-site skilled NLP professional to work on a software project in the area of natural language processing, topic detection, and machine learning algorithms. </strong></p> <p>About the employer: ComplaintLink is a web start-up with a relatively simple user-interface and very complicated analytical software that will incorporate machine learning algorithms, natural language processing, sentiment analysis, entity named extraction, search algorithms and other data mining and business intelligence functionality. The website is structured much like a sophisticated forum with a social-networking component. The data being analyzed will be from user-generated textual discussions around a multitude of topics that will continuously be updated.<br />
</p><p>Description of project: The successful candidate will be working with other LAMP developers to bring an online business to fruition. The candidate will, using open source resources, intelligence and imagination, develop software that will function as the brains behind this online business.</p><p>The software being developed will access our site’s database and have the ability, without any manual keyword input for direction, to mine all textual data and present clearly which are the most 'important' or ‘passionate’ conversations and issues and be able to extract what those issues are and what related significant information is involved in those discussions. It will be able to identify and draw associations between significant pieces of information and present the information extracted in a way that provides a clear picture of the activity on the site in a practical and meaningful manner.</p><p>Degree and expertise: This project requires someone with a passion for machine learning algorithms and natural language processing. Ideally the candidate will be a postdoctoral fellow or at least someone as smart and experienced as one in the area of Natural Language Processing, machine learning algorithms, and data extraction and analysis. You must be able to work in a LAMP environment, be skilled with MySQL, be smart, reliable, and a self-starter with excellent problem solving and analytical abilities. You must have a solid grasp of English – written and verbal.</p><p>If you are interested in this opportunity please contact us at the following address: developers {at} ComplaintLink {dot} {com} Please include your CV and a short description of your past work and studies and interests.</p><br />
<br />
<br />
<br />
== Assistant Professor Position at Graduate School of Information Science, NAIST, Japan ==<br />
* Employer: Graduate School of Information Science, Nara Institute of Science and Technology<br />
* Rank or Title: Assistant Professor (5 years + 3 year extension)<br />
* Specialty: Natural Language Processing, Machine Learning, Text Mining<br />
* Location: Nara, Japan<br />
* Deadline: 11th November, 2011<br />
* Date Posted: 12th October, 2011<br />
* Contact email: (for informal enquiries) matsu@is.naist.jp<br />
* Website: http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/20111006index.html<br />
<br />
<br />
== NLP: Two Research Scientist positions: 1) NLG and 2) Computational Semantics ==<br />
* Employer: University of Colorado Boulder<br />
* Rank or Title: Research Scientists<br />
* Specialty: NLG, NLU, Computational Semantics, Spoken Dialogue Systems<br />
* Location: Boulder, CO, USA<br />
* Deadline: Until filled<br />
* Date Posted: 11 October 2011<br />
* Contact email: Rodney.Nielsen@Colorado.edu<br />
* Website: http://www.RodneyNielsen.com<br />
<br />
<br />
The Companionbots project in the Computational Language and Education Research Center, Institute of Cognitive Science, University of Colorado, Boulder, invites applications for two postdoctoral Research Scientist positions in Human-Robot Dialogue: one in Natural Language Generation (NLG) and the second in Computational Semantics / Natural Language Understanding.<br />
<br />
Project Description<br />
---------------<br />
<br />
CU Boulder is leading a large collaborative NSF-funded project, “Companionbots for Proactive Therapeutic Dialog on Depression”, to conduct research on a new class of dialog-based, home robotic healthcare assistants to facilitate in-home, real-time care. The research team integrates a broad spectrum of expertise including Clinical & Psychiatric Healthcare, Speech, Dialog, Natural Language Processing, Robotics, Computer Vision, Machine Learning, Human Factors and Cognitive Science. The immediate project will result in enabling technology for home healthcare Companionbots that integrates language, vision, and emotive technology to proactively recognize situations and dialog with isolated and elderly patients suffering from depression.<br />
<br />
Object recognition and human activity recognition will augment natural language processing to provide current and historical context important to dynamic dialog. An emotive, physical avatar will provide an interaction mechanism with sufficient trust to extract meaningful information that may not be observable in the immediate environment. A central and unique aspect of the Companionbot’s dynamic dialog is the proactive generation of questions, which is driven by a user model including context, goals, health information, experiences, interests, and prior interactions. In addition to providing real-time intervention capabilities, the benefits of Companionbots include the continuous collection of physical and mental health data to improve doctor-patient interaction and enable data mining across patient cohort groups.<br />
<br />
<br />
Natural Language Generation (NLG) Position<br />
---------------<br />
<br />
The successful applicant will research and develop natural spoken dialogue generation components, with an emphasis on question generation, in the context of emotive, companion robots (Companionbots) communicating with isolated elderly suffering from depression. NLG will span multiple genres from casual conversation to goal-directed mental health education and training. It will also explore multiple techniques from more traditional Spoken Dialogue Systems (SDS) approaches to more recent text-to-text NLG methods. You will be encouraged to develop independent research ideas within the scope of the project, will play an active role in a variety of project areas, and will have the opportunity to apply your NLG expertise to a critical real-life problem in a multidisciplinary environment.<br />
<br />
The Companionbots project includes numerous collaborators. Key to this position, Kathy McKeown, Columbia University, will consult on the Natural Language Generation components and co-advise this post-doc. You will also interact closely with the project’s clinical experts in understanding subjects and developing healthcare-related dialogue strategies, with users to help guide and evaluate research & development, and with project members involved in SDS, Automatic Speech Recognition (ASR), NLU, Vision, and the physical & visual expression of emotion. The project will involve significant bidirectional interaction between these constituents and their associated system components.<br />
<br />
This position is available immediately and is initially for one year, with the possibility of an extension up to three years based on performance.<br />
<br />
Qualifications<br />
<br />
* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline<br />
* Rigorous experience and skills in NLG, preferably in conversational SDS, as evidenced by a publication record<br />
* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications<br />
* Excellent software design and implementation skills<br />
* Good verbal communication and English writing skills<br />
* The ability to work both independently and in a multidisciplinary team<br />
<br />
* It is a plus (but not a requirement) to have working knowledge or preferably a publication record indicating experience in usability, cognitive science, user modeling, or discourse analysis related to NLG and SDS<br />
<br />
<br />
Computational Semantics Position<br />
---------------<br />
<br />
The successful applicant will research and develop NLP components, with an emphasis on semantic interpretation of spoken dialogue in the context of emotive, companion robots (Companionbots) communicating with isolated elderly who are suffering from depression. NLP will be used to develop a deep understanding and representation of a situation based on past and immediate context. The semantics extracted will be used to construct a user model and predict future adverse events and situations. You will be encouraged to develop independent research ideas within the scope of the project, will play an active role in a variety of project areas, and will have the opportunity to apply your NLP expertise to a critical real-life problem in a multidisciplinary environment.<br />
<br />
The Companionbots project includes numerous collaborators. You will interact closely with the project’s clinical experts in understanding subjects and relevant healthcare-related dialogue, with users to help guide and evaluate research & development, with Vision researchers to enhance contextual understanding, with Automatic Speech Recognition (ASR) experts to improve ASR with semantic context, with a Natural Language Generation researcher to inform the spoken dialogue using deeper semantics, and with mechantronics researchers to ensure contextually appropriate emotive output. The project will involve significant bidirectional interaction between these constituents and their associated system components.<br />
<br />
This position is available immediately and is initially for one year, with the possibility of extension based on performance.<br />
<br />
Qualifications<br />
<br />
* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline<br />
* Rigorous experience and skills in computational semantics, preferably in the context of conversational SDS, as evidenced by a strong publication record<br />
* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications<br />
* Excellent software design and implementation skills<br />
* Good verbal communication and English writing skills<br />
* The ability to work both independently and in a multidisciplinary team<br />
<br />
* It is a plus (but not a requirement) to have working knowledge or preferably a publication record indicating experience in user modeling, discourse analysis, and cognitive science related to SDS<br />
<br />
<br />
The Center for Computational Language and Education Research (CLEAR)<br />
---------------<br />
<br />
You will be part of the Institute of Cognitive Science’s Center for Computational Language and Education Research (CLEAR), which includes prominent senior human language technology faculty Drs. James Martin (co-author of Speech and Language Processing), Martha Palmer (PropBank, VerbNet, …), Wayne Ward (an ASR and SDS pioneer, who will lead the speech aspects of Companionbots), and others. Including students, CLEAR consists of about 40 researchers with backgrounds in computer science, linguistics, machine learning, cognitive science, psychology, education and human computer interaction. The group’s research investigates a variety of topics and applications, but emphasizes the application of human language technologies to educational and medical applications. CLEAR is housed at the Center for Innovation and Creativity along side numerous researchers in allied fields including psycholinguistics, cognitive neuroscience, reading, and cognitive disability research. All of these factors make CU Boulder one of the leading institutions for research in computational semantics.<br />
<br />
<br />
Boulder, Colorado<br />
---------------<br />
<br />
Boulder, just 25 miles from Denver, is a mid-sized community of 300,000 residents nestled along the Flatirons, at the foothills of the Rocky Mountains. Boulder’s citizens report the highest quality of life ratings in the United States among mid-sized cities, perhaps because of its balance of intellectual and outdoor recreational capital. Apart from the University of Colorado at Boulder, Colorado’s flagship university, Boulder is home to three major scientific National Institutes and numerous high-tech companies.<br />
<br />
Boulder boasts outstanding outdoor recreational opportunities. It was rated the "#1 Sports Town in America" by Outside Magazine. Boulder residents enjoy over 300 sunny days per year and immediate access to climbing, hiking, kayaking, and fishing within walking distance of the city center. World-class outdoor recreation is available in the 30,000 acres of open space parks surrounding Boulder, Rocky Mountain National Park (just 40 miles away), and 8 outstanding ski resorts (within 20-100 miles).<br />
<br />
In addition to its scientific and scholarly strengths, Boulder possesses a unique blend of cultural interests. Because of its desirability as a place to live, Boulder is also home to a high concentration of novelists, Olympic and other elite athletes. These groups together support over 300 restaurants, more than 30 art galleries, 4 local museums, 32 movie and stage theaters, and many festivals, including the Colorado Shakespeare Festival and the Colorado Music Festival.<br />
<br />
<br />
Application<br />
---------------<br />
<br />
Please email questions about these positions to the Companionbot’s Principal Investigator:<br />
<br />
Rodney.Nielsen@colorado.edu<br />
<br />
Rodney Nielsen, Ph.D.<br />
Research Scientist<br />
Computational Language and Education Research Center<br />
Institute of Cognitive Science<br />
University of Colorado, Boulder<br />
<br />
<br />
To apply follow the instructions at the Jobs at CU link below to submit your CV (with details regarding research experience), a statement of research interests, links to your most relevant papers, and a list of at least 3 references with email addresses.<br />
<br />
Natural Language Generation:<br />
http://www.jobsatcu.com/applicants/Central?quickFind=66322<br />
<br />
Natural Language Understanding:<br />
http://www.jobsatcu.com/applicants/Central?quickFind=66325<br />
<br />
<br />
The University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at (303) 492-1334.<br />
<br />
The University of Colorado at Boulder conducts background checks on all final applicants being considered for employment.</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=8707Employment opportunities, postdoctoral positions, summer jobs2011-02-21T22:34:35Z<p>Joeltetreault: </p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
** Deadline<br />
** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2010]]<br />
** [[Employment opportunities posted 2009]]<br />
** [[Employment opportunities posted 2008]]<br />
** [[Employment opportunities posted 2007]]<br />
<br />
== Freelance British English, Japanese, and Mexican Spanish computational linguists==<br />
** Employer: The Lingua Team<br />
** Rank: Freelance contractor<br />
** Speciality: Speech & Natural Language Processing<br />
** Location: Seattle, WA (work can be done remotely)<br />
** Deadline: 5/1/2011<br />
** Date Posted: 2/12/2011<br />
** Contact email: http://www.thelinguateam.com<br />
The Lingua Team, a company based in the Seattle area, dedicated to linguistic services is always looking for a computational linguists with native or near native knowledge of the most common languages to do freelance work remotely. Please, visit our site and email your resume for consideration.<br />
<br />
== French computational linguist==<br />
** Employer: The Lingua Team<br />
** Rank: Language support contractor<br />
** Speciality: Speech recognition<br />
** Location: Seattle, WA (work can be done remotely)<br />
** Deadline: 03/04/2011<br />
** Date Posted: 12/28/2010<br />
** Contact email: http://www.thelinguateam.com<br />
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French computational linguist to create computational grammars in xml format. Knowledge of French is a must. Please, email your resume for consideration.<br />
<br />
<br />
== Senior Research Assistant, Natural Language Processing ==<br />
** Employer: ETS (Educational Testing Service)<br />
** Speciality: Research<br />
** Location: Princeton, New Jersey 08540<br />
** Date Posted: 02/21/2011<br />
** Please apply online: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=100522&type=True&cfcend<br />
<br />
<br />
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <br />
<br />
<br />
<br />
<b>Job Description:</b><br />
<br />
Educational Testing Service has an opening for a Senior Research Assistant position in the Applied Research and Development Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in preparing study results for publication or presentation, including literature searches, producing charts and graphs, writing and editing.</p><br />
<br />
<br />
<b>Basic Functions and Responsibilities:</b><br />
<br />
Coordinate research project workflow including planning and designing pilot and field testing; data collection, analysis, and presentation; preparation, production, and distribution of proposals and reports; maintaining data files; and producing workshop materials. Schedule services with other ETS departments and project staff. Act as liaison between project directors and field staff, support staff, and research community, as assigned. Plan, manage, and perform annotations for a variety of projects.<br />
<br />
<ul><br />
<li>Collect, organize, and verify data; analyze, synthesize, and interpret data; perform statistical calculations.<br />
<br />
<li>Monitor activities of temporary and support staff and data collection centers to control budgets, workflow, quality of coding operations, and project activities.<br />
<br />
<li>Develop coding systems, procedures, and manuals; research instruments; statistical analyses; and files of current resource materials for workshops and projects.<br />
<br />
<li>Write, revise, edit, and proofread research instruments, project documents and publications, memoranda, and correspondence.<br />
<br />
<li>Contribute to formal reports and proposals (or sections thereof).<br />
<br />
<li>Update publications and prepare graphics, tables, charts, graphs, figures, and visual aids. Administer tests, research instruments, interviews, and surveys.<br />
<br />
<li>Conduct literature searches and prepare reference lists, evaluating and selecting materials to be included.<br />
<br />
<li>Operate computer terminal to enter, edit, and update data; program and utilize sophisticated statistical packages for data analysis; act as data custodian for cost center.<br />
<br />
<li>Select and train field staff; instruct support staff.<br />
<br />
<li>Arrange and attend meetings with clients, committees, and consultants.<br />
<br />
<li>Meet with clients to plan or interpret guidelines, as assigned.<br />
</ul><br />
<br />
<br />
<b>Required Experience:</b><br />
<br />
<p>EDUCATION A Bachelor's degree in a behavioral or social science with coursework in Statistics is necessary. Coursework or experience working in linguistics, computer science and/or natural language processing (NLP) technologies preferred.</p><br />
<br />
<p>EXPERIENCE A successful candidate will have exemplary written, grammatical, and technical skills. Three years of research-related experience in an academic or professional setting is necessary.<br />
</p><br />
<br />
<br />
<br />
<br />
<br />
== Associate Research Engineer, Natural Language Processing ==<br />
** Employer: ETS (Educational Testing Service)<br />
** Speciality: Research<br />
** Location: Princeton, New Jersey 08540<br />
** Date Posted: 01/07/2011<br />
** Link to website: http://www.Click2Apply.net/xymwg8p<br />
<br />
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.</p> <p>Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.</p><p>In addition to exceptional verbal/written communication skills, our qualifications include:</p> <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:</p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend]</p> <p>EOE</p><p>[http://www.Click2Apply.net/xymwg8p Apply Here]<br />
<br />
== Associate Research Scientist, Speech ==<br />
** ETS (Educational Testing Service)<br />
** Research<br />
** Princeton, New Jersey, United States, 08540 <br />
** 02/06/2011<br />
** 01/07/2011<br />
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049<br />
<br />
<strong>ETS (Educational Testing Service),</strong> with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. <br /><br />You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.</p><p>Our requirements include:</p> <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: </p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend]</p> <p>EOE</p>[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=8706Employment opportunities, postdoctoral positions, summer jobs2011-02-21T22:33:43Z<p>Joeltetreault: </p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
** Deadline<br />
** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2010]]<br />
** [[Employment opportunities posted 2009]]<br />
** [[Employment opportunities posted 2008]]<br />
** [[Employment opportunities posted 2007]]<br />
<br />
== Freelance British English, Japanese, and Mexican Spanish computational linguists==<br />
** Employer: The Lingua Team<br />
** Rank: Freelance contractor<br />
** Speciality: Speech & Natural Language Processing<br />
** Location: Seattle, WA (work can be done remotely)<br />
** Deadline: 5/1/2011<br />
** Date Posted: 2/12/2011<br />
** Contact email: http://www.thelinguateam.com<br />
The Lingua Team, a company based in the Seattle area, dedicated to linguistic services is always looking for a computational linguists with native or near native knowledge of the most common languages to do freelance work remotely. Please, visit our site and email your resume for consideration.<br />
<br />
== French computational linguist==<br />
** Employer: The Lingua Team<br />
** Rank: Language support contractor<br />
** Speciality: Speech recognition<br />
** Location: Seattle, WA (work can be done remotely)<br />
** Deadline: 03/04/2011<br />
** Date Posted: 12/28/2010<br />
** Contact email: http://www.thelinguateam.com<br />
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French computational linguist to create computational grammars in xml format. Knowledge of French is a must. Please, email your resume for consideration.<br />
<br />
<br />
== Senior Research Assistant, Natural Language Processing ==<br />
** Employer: ETS (Educational Testing Service)<br />
** Speciality: Research<br />
** Location: Princeton, New Jersey 08540<br />
** Date Posted: 02/21/2011<br />
** Please apply online: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=100522&type=True&cfcend<br />
<br />
<br />
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <br />
<br />
<br />
<br />
<p><b>Job Description:</b>Educational Testing Service has an opening for a Senior Research Assistant position in the Applied Research and Development Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in preparing study results for publication or presentation, including literature searches, producing charts and graphs, writing and editing.</p><br />
<br />
<br />
<b>Basic Functions and Responsibilities:</b><br />
<br />
Coordinate research project workflow including planning and designing pilot and field testing; data collection, analysis, and presentation; preparation, production, and distribution of proposals and reports; maintaining data files; and producing workshop materials. Schedule services with other ETS departments and project staff. Act as liaison between project directors and field staff, support staff, and research community, as assigned. Plan, manage, and perform annotations for a variety of projects.<br />
<br />
<ul><br />
<li>Collect, organize, and verify data; analyze, synthesize, and interpret data; perform statistical calculations.<br />
<br />
<li>Monitor activities of temporary and support staff and data collection centers to control budgets, workflow, quality of coding operations, and project activities.<br />
<br />
<li>Develop coding systems, procedures, and manuals; research instruments; statistical analyses; and files of current resource materials for workshops and projects.<br />
<br />
<li>Write, revise, edit, and proofread research instruments, project documents and publications, memoranda, and correspondence.<br />
<br />
<li>Contribute to formal reports and proposals (or sections thereof).<br />
<br />
<li>Update publications and prepare graphics, tables, charts, graphs, figures, and visual aids. Administer tests, research instruments, interviews, and surveys.<br />
<br />
<li>Conduct literature searches and prepare reference lists, evaluating and selecting materials to be included.<br />
<br />
<li>Operate computer terminal to enter, edit, and update data; program and utilize sophisticated statistical packages for data analysis; act as data custodian for cost center.<br />
<br />
<li>Select and train field staff; instruct support staff.<br />
<br />
<li>Arrange and attend meetings with clients, committees, and consultants.<br />
<br />
<li>Meet with clients to plan or interpret guidelines, as assigned.<br />
</ul><br />
<br />
<br />
<p><b>Required Experience:</b><br />
EDUCATION A Bachelor's degree in a behavioral or social science with coursework in Statistics is necessary. Coursework or experience working in linguistics, computer science and/or natural language processing (NLP) technologies preferred.<br />
<br />
EXPERIENCE A successful candidate will have exemplary written, grammatical, and technical skills. Three years of research-related experience in an academic or professional setting is necessary.<br />
</p><br />
<br />
<br />
<br />
<br />
<br />
== Associate Research Engineer, Natural Language Processing ==<br />
** Employer: ETS (Educational Testing Service)<br />
** Speciality: Research<br />
** Location: Princeton, New Jersey 08540<br />
** Date Posted: 01/07/2011<br />
** Link to website: http://www.Click2Apply.net/xymwg8p<br />
<br />
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.</p> <p>Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.</p><p>In addition to exceptional verbal/written communication skills, our qualifications include:</p> <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:</p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend]</p> <p>EOE</p><p>[http://www.Click2Apply.net/xymwg8p Apply Here]<br />
<br />
== Associate Research Scientist, Speech ==<br />
** ETS (Educational Testing Service)<br />
** Research<br />
** Princeton, New Jersey, United States, 08540 <br />
** 02/06/2011<br />
** 01/07/2011<br />
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049<br />
<br />
<strong>ETS (Educational Testing Service),</strong> with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. <br /><br />You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.</p><p>Our requirements include:</p> <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: </p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend]</p> <p>EOE</p>[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Employment_opportunities,_postdoctoral_positions,_summer_jobs&diff=8705Employment opportunities, postdoctoral positions, summer jobs2011-02-21T22:28:10Z<p>Joeltetreault: </p>
<hr />
<div>* Please post your job ad below. <br />
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''. <br />
* '''Please remove your posting when the position is filled.''' <br />
* Please include the following information:<br />
** Employer<br />
** Rank or Title<br />
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)<br />
** Location<br />
** Deadline<br />
** Date Posted<br />
** Contact email or link to website<br />
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].<br />
* Archived postings:<br />
** [[Employment opportunities posted 2010]]<br />
** [[Employment opportunities posted 2009]]<br />
** [[Employment opportunities posted 2008]]<br />
** [[Employment opportunities posted 2007]]<br />
<br />
== Freelance British English, Japanese, and Mexican Spanish computational linguists==<br />
** Employer: The Lingua Team<br />
** Rank: Freelance contractor<br />
** Speciality: Speech & Natural Language Processing<br />
** Location: Seattle, WA (work can be done remotely)<br />
** Deadline: 5/1/2011<br />
** Date Posted: 2/12/2011<br />
** Contact email: http://www.thelinguateam.com<br />
The Lingua Team, a company based in the Seattle area, dedicated to linguistic services is always looking for a computational linguists with native or near native knowledge of the most common languages to do freelance work remotely. Please, visit our site and email your resume for consideration.<br />
<br />
== French computational linguist==<br />
** Employer: The Lingua Team<br />
** Rank: Language support contractor<br />
** Speciality: Speech recognition<br />
** Location: Seattle, WA (work can be done remotely)<br />
** Deadline: 03/04/2011<br />
** Date Posted: 12/28/2010<br />
** Contact email: http://www.thelinguateam.com<br />
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French computational linguist to create computational grammars in xml format. Knowledge of French is a must. Please, email your resume for consideration.<br />
<br />
<br />
== Senior Research Assistant, Natural Language Processing ==<br />
** Employer: ETS (Educational Testing Service)<br />
** Speciality: Research<br />
** Location: Princeton, New Jersey 08540<br />
** Date Posted: 02/21/2011<br />
** Link to website: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=100522&type=True&cfcend<br />
<br />
<br />
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <br />
<br />
<br />
<br />
<p><b>Job Description:</b>Educational Testing Service has an opening for a Senior Research Assistant position in the Applied Research and Development Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in preparing study results for publication or presentation, including literature searches, producing charts and graphs, writing and editing.</p><br />
<br />
<br />
BASIC FUNCTIONS AND RESPONSIBILITIES<br />
<br />
Coordinate research project workflow including planning and designing pilot and field testing; data collection, analysis, and presentation; preparation, production, and distribution of proposals and reports; maintaining data files; and producing workshop materials. Schedule services with other ETS departments and project staff. Act as liaison between project directors and field staff, support staff, and research community, as assigned. Plan, manage, and perform annotations for a variety of projects.<br />
<br />
<ul><br />
<li>Collect, organize, and verify data; analyze, synthesize, and interpret data; perform statistical calculations.<br />
<br />
<li>Monitor activities of temporary and support staff and data collection centers to control budgets, workflow, quality of coding operations, and project activities.<br />
<br />
<li>Develop coding systems, procedures, and manuals; research instruments; statistical analyses; and files of current resource materials for workshops and projects.<br />
<br />
<li>Write, revise, edit, and proofread research instruments, project documents and publications, memoranda, and correspondence.<br />
<br />
<li>Contribute to formal reports and proposals (or sections thereof).<br />
<br />
<li>Update publications and prepare graphics, tables, charts, graphs, figures, and visual aids. Administer tests, research instruments, interviews, and surveys.<br />
<br />
<li>Conduct literature searches and prepare reference lists, evaluating and selecting materials to be included.<br />
<br />
<li>Operate computer terminal to enter, edit, and update data; program and utilize sophisticated statistical packages for data analysis; act as data custodian for cost center.<br />
<br />
<li>Select and train field staff; instruct support staff.<br />
<br />
<li>Arrange and attend meetings with clients, committees, and consultants.<br />
<br />
<li>Meet with clients to plan or interpret guidelines, as assigned.<br />
</ul><br />
<p><br />
<br />
<p><b>Required Experience:</b><br />
EDUCATION A Bachelor's degree in a behavioral or social science with coursework in Statistics is necessary. Coursework or experience working in linguistics, computer science and/or natural language processing (NLP) technologies preferred.<br />
<br />
EXPERIENCE A successful candidate will have exemplary written, grammatical, and technical skills. Three years of research-related experience in an academic or professional setting is necessary.<br />
</p><br />
<br />
Please apply online at:</p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=100522&type=True&cfcend<br />
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=100522&type=True&cfcend<br />
]</p> <p>EOE</p><br />
<br />
<br />
<br />
== Associate Research Engineer, Natural Language Processing ==<br />
** Employer: ETS (Educational Testing Service)<br />
** Speciality: Research<br />
** Location: Princeton, New Jersey 08540<br />
** Date Posted: 01/07/2011<br />
** Link to website: http://www.Click2Apply.net/xymwg8p<br />
<br />
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.</p> <p>Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.</p><p>In addition to exceptional verbal/written communication skills, our qualifications include:</p> <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:</p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend]</p> <p>EOE</p><p>[http://www.Click2Apply.net/xymwg8p Apply Here]<br />
<br />
== Associate Research Scientist, Speech ==<br />
** ETS (Educational Testing Service)<br />
** Research<br />
** Princeton, New Jersey, United States, 08540 <br />
** 02/06/2011<br />
** 01/07/2011<br />
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049<br />
<br />
<strong>ETS (Educational Testing Service),</strong> with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. <br /><br />You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.</p><p>Our requirements include:</p> <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: </p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend]</p> <p>EOE</p>[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Workshops_in_2009&diff=5888Workshops in 20092008-10-24T03:04:56Z<p>Joeltetreault: </p>
<hr />
<div>For more information, see [[Conferences and workshops]]. <br />
<br />
<!-- <br />
Please add workshops in chronological order, in the following format:<br />
<br />
|-<br />
|URL with Short Name as a heading || Long Name or Description || Associated Conference ("held in conjunction with ...") if applicable || Location || Date || Submissions <br />
|-<br />
--><br />
<br />
<br />
{|class=wikitable border="1"<br />
! Short name !! Long name !! Description !! Location !! Date !! Submission<br />
<br />
|-<br />
| [http://www.cicling.org Lexicom Americas 2009] || Workshop on Computational Lexicography || held in conjuntion with [http://www.cicling.org CICLing 2009] || Mexico City, Mexico || 24-28 February 2009 || -<br />
<br />
|-<br />
| [[CALC-09]] || Workshop on Computational Approaches to Linguistic Creativity || held in conjunction with [http://www.naaclhlt2009.org/ NAACL-HLT 2009] || Boulder, Colorado || June 4 or 5, 2009 || February 27, 2009<br />
<br />
|-<br />
| [http://www.cs.rochester.edu/u/tetreaul/naacl-bea4.html BEA-4] || Workshop on Innovative Use of NLP for Building Educational Applications || held in conjunction with [http://www.naaclhlt2009.org/ NAACL-HLT 2009] || Boulder, Colorado || June 4 or 5, 2009 || March 6, 2009<br />
<br />
<br />
|-<br />
| [http://attempto.ifi.uzh.ch/site/cnl2009/ CNL 2009] || Workshop on Controlled Language || - || Marettimo Island, Italy || 8-10 June 2009 || 14 Nov 2008<br />
<br />
|}<br />
<br />
<br />
[[Category:Conferences]]<br />
<br />
<br />
== [http://www.cicling.org CICLing 2009] + Lexicom Americas 2009 ==<br />
* 10th International Conference on Intelligent Text Processing and Computational Linguistics, preceded by the Lexicom Americas workshop<br />
* Mexico<br />
* CICLing: March 1-7, 2009 (submission deadline: Nov 3 registration of abstracts, Nov 10 submission of full text). Lexicom: Feb 24-28</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Conferences_and_workshops&diff=3452Conferences and workshops2007-02-09T19:19:49Z<p>Joeltetreault: /* Other conference and workshop listings */</p>
<hr />
<div>Information on conferences and workshops relevant to Computational Linguistics.<br />
<br />
== Conferences by year ==<br />
* [[Conferences in 2006]]<br />
* [[Conferences in 2007]]<br />
* [[Conferences in 2008]]<br />
<br />
==Workshops by year==<br />
* [[Workshops in 2007]]<br />
<br />
== Conference and workshop statistics ==<br />
* [[Conference acceptance rates]]<br />
* [http://citeseer.ist.psu.edu/impact.html CiteSeer's estimated impact] provides some conference [http://en.wikipedia.org/wiki/Impact_factors impact factors]<br />
<br />
== Other conference and workshop listings ==<br />
* [http://www.cs.rochester.edu/u/tetreaul/conferences.html Comprehensive NLP/CL conference listings calendar] (updated daily)<br />
* [http://eventseer.net EventSeer digital library of CS call for papers] also indexes NLP/CL events (updated daily)<br />
* [http://linguistlist.org/callconf/browse-current-Conf.html Linguist List] current conferences<br />
<br />
[[Category:Conferences|*]]</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=User_talk:Joeltetreault&diff=3451User talk:Joeltetreault2007-02-09T19:19:07Z<p>Joeltetreault: </p>
<hr />
<div>Hi. Regarding "added link to conference calendar site" on [[Conferences in 2007]], there is already a link on [[Conferences and workshops]], so I think the addition is redundant. --[[User:Pdturney|Pdturney]] 15:10, 2 January 2007 (EST)<br />
<br />
:: I deleted your link in [[Conferences in 2007]], but added a link in [[Conferences in 2007]] to [[Conferences and workshops]], to make it easier to find your conference calendar site. OK? --[[User:Pdturney|Pdturney]] 15:22, 2 January 2007 (EST)<br />
<br />
Hey it makes more sense with your move. Thanks!</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Conferences_in_2007&diff=3284Conferences in 20072007-01-02T19:46:52Z<p>Joeltetreault: added link to conference calendar site</p>
<hr />
<div>Please add conferences in alphabetical order, in the following format:<br />
<br />
<pre><br />
==[http://home.page Short Name]==<br />
* Long Name or Description<br />
* Location<br />
* Dates<br />
</pre><br />
<br />
==[http://www.cs.rochester.edu/~tetreaul/conferences.html 2007 NLP/CL Conference Calendar]==<br />
* 2007 NLP/CL Conference Calendar<br />
* (website)<br />
<br />
==[http://www.aaai.org/Conferences/AAAI/aaai07.php AAAI 2007]==<br />
* 22nd National Conference on Artificial Intelligence<br />
* Vancouver, British Columbia, Canada<br />
* July 22-26, 2007<br />
<br />
==[http://ufal.mff.cuni.cz/acl2007/ ACL 2007]==<br />
* Association for Computational Linguistics 2007<br />
* Prague, Czech Republic<br />
* June 24–29, 2007<br />
<br />
==[http://www.cs.rochester.edu/meetings/hlt-naacl07/ HLT-NAACL 2007]==<br />
* Human Language Technologies - North American Chapter of the Association for Computational Linguistics 2007<br />
* Rochester, New York<br />
* April 22-27, 2007<br />
<br />
==[http://www.icassp2007.org/CallForPapers.asp ICASSP 2007]==<br />
* International Conference on Acoustics, Speech, and Signal Processing 2007<br />
* Honolulu, Hawaii<br />
* April 15-20, 2007<br />
<br />
==[http://www.interspeech2007.org/ Interspeech 2007]==<br />
* Eighth conference in the annual series, covers all aspects of speech science and technology<br />
* Antwerp, Belgium<br />
* August 27-31, 2007<br />
<br />
==[http://www.eamt.org/events.html MT Summit XI]==<br />
* Machine Translation Summit XI<br />
* Copenhagen, Denmark<br />
* September 10-14, 2007<br />
<br />
==[http://mandrake.csse.unimelb.edu.au/pacling2007/ PACLING 2007]==<br />
* Conference of the Pacific Association for Computational Linguistics<br />
* Melbourne, Australia<br />
* September 19-21, 2007<br />
<br />
==[http://lml.bas.bg/ranlp2007/ RANLP-07]==<br />
* Recent Advances in Natural Language Processing<br />
* Borovets, Bulgaria<br />
* September 27-29, 2007<br />
<br />
==[http://gplsi.dlsi.ua.es/congresos/time07/ TIME 2007]==<br />
* International Symposium on Temporal Representation and Reasoning 2007<br />
* Alicante, Spain<br />
* June 28-30, 2007<br />
<br />
[[Category:Conferences]]</div>Joeltetreaulthttps://aclweb.org/aclwiki/index.php?title=Conferences_and_workshops&diff=2163Conferences and workshops2006-10-31T22:00:45Z<p>Joeltetreault: added link to conference calendar site</p>
<hr />
<div>'''Conferences relevant to Computational Linguistics'''<br />
<br />
* [[Conferences before 2006]]<br />
* [[Conferences in 2006]]<br />
* [[Conferences in 2007]]<br />
* [[Conferences in 2008]]<br />
* [[Conference acceptance rates]]<br />
* [http://www.cs.rochester.edu/u/tetreaul/conferences.html Comprehensive NLP/CL conference listings calendar (updated weekly)]</div>Joeltetreault