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== Research Fellowship at University of Aberdeen ==
 
  
* Employer: University of Aberdeen
 
* Job Title: Research Fellow in Computational Linguistics
 
* Location: Aberdeen, UK
 
* Deadline: 28th June 2012
 
* Date Posted: 22-May-2012
 
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", enter "Computational Linguist" under Search Vacancy Title and click "search"]
 
* Contact email: c.mellish@abdn.ac.uk
 
  
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.
+
==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
 +
*Employer: Allen Institute for Artificial Intelligence (AI2)
 +
*Title: Post-doc/Research Scientist
 +
*Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
 +
*Location: Seattle, WA
 +
*Deadline: N/A, we are hiring throughout 2015
 +
*Date posted: 12/9/2014
 +
*Contact information: ai2-info@allenai.org, allenai.org
  
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.
+
'''Job Description'''
  
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.  
+
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni.  The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.  
  
== Associate Research Scientist (SPEECH) at Educational Testing Service ==
+
'''Position Summary'''
  
* Employer: Educational Testing Service (www.ets.org)
+
AI2 currently has projects in the following areas:
* Job Title: Associate Research Scientist (SPEECH)
+
*Language and Vision
* Location: Princeton, NJ
+
*Information extraction and semantic parsing
* Deadline: Open until filled
+
*Question answering
* Date Posted: 16-May-2012
+
*Language and reasoning
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]
+
*Machine learning and theory formation
* Contact email: dyanchuk@ets.org
+
*Semantic search
 +
*Diagram understanding
  
'''JOB DESCRIPTION'''
+
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission.  These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.
  
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).
+
'''Applicant'''
  
 +
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation.  We look favorably upon extensive work experience demonstrating application of your research.
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
'''Application Process'''
  
* 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.
+
All candidates are required to send a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) to ai2-info@allenai.org.
+
We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.
* 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.  
+
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)==
 +
* Employer: Apple Inc.
 +
* Title: Language Understanding / Dialog Scientist
 +
* Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
 +
* Location: Cupertino, CA
 +
* Deadline: rolling
 +
* Date Posted: December 2, 2014
 +
* Thomas Kollar: tkollar@apple.com
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
'''Description''':
 +
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence.  And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
'''Key Qualifications'''
 +
*Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
 +
*Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
 +
*Exceptional analytical, troubleshooting and problem solving skills
 +
*Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
 +
*Strong software engineering skills
 +
*Experience working with multilingual datasets
 +
*Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
'''Description'''
 +
You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
'''Education'''
 +
M.S. or PhD in Computer Science or related field
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
'''Additional Requirements'''
 +
2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.
  
+
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
'''EXPERIENCE AND SKILLS'''
+
* Employer: The Ohio State University
 +
* Title: Assistant/Associate/Full Professor
 +
* Specialty: open, two positions in Data Analytics
 +
* Location: Columbus, OH, USA
 +
* Deadline: January 31, 2015 (Consideration starts November 2014)
 +
* Date Posted: November 17, 2014
 +
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi
  
EDUCATION
+
The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.
  
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.
+
Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.
  
 +
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
  
EXPERIENCE
+
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.
  
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).
+
To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
  
 +
Review of applications will begin in November 2014 and will continue until the positions are filled.
  
 +
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
 +
 +
==Postdoctoral positions in NLP and text/data analytics at Mayo Clinic ==
 +
* Employer: Mayo Clinic
 +
* Title: Postdoctoral
 +
* Specialty: many, see below
 +
* Location:Rochester, MN, USA
 +
* Deadline: December 25, 2014
 +
* Date Posted: November 6, 2014
 +
* Website: http://www.mayo.edu
 +
 +
Mayo Clinic Natural Language Processing (NLP) Program is currently seeking multiple talented postdoctoral candidates with research interest in NLP, text mining, or predictive analytics to join the program. The appointee will join a diverse team of researchers in Mayo Clinic NLP Program to research on information extraction (IE), information retrieval (IR), and predictive analytics  techniques in the big data era for better information access and delivery, document processing, text mining, and advanced analytics in the clinical and biomedical domain.
 
   
 
   
'''APPLYING'''
+
Key requirements and selection criteria for the position include:
 +
-          PhD in Biomedical Informatics, Computer Science, Statistics, Bioinformatics, Computational Linguistics, Artificial Intelligence, or a related discipline
 +
-          Demonstrated expertise in some of the following areas: information retrieval, natural language processing, machine learning, data mining, human computer interaction in an IR setting, knowledge extraction and management
  
Interested parties can apply for the position through the following website:  
+
Other desirable skills and selection criteria include:
 +
-          Knowledge of big data techniques is plus.
 +
-          Demonstrated informatics expertise in some of  the following areas: literature mining, clinical natural language processing, clinical terminology and ontology,  clinical data warehouse and secondary use of EMR applications
 +
-          Good interpersonal and communication skills and a demonstrated commitment to working collaboratively inside NLP program and a strong interest and devotion in working with clinicians and biomedical researchers
 +
-          Familiar with Unstructured Information Management Architecture (UIMA) framework and programming skills in a variety of languages
 +
-          Demonstrated experience in machine learning and statistical techniques and/or experimental design and analysis for clinical and biomedical studies
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
Team: Mayo NLP program is a hybrid program which aims to conduct the state-of-the-art NLP research and translating NLP research into practical NLP algorithms to facilitate clinical research and practice. The program consists of seven postdoctoral NLP experts and a handful of NLP software engineers. The program plays a significant role in multiple institutional initiatives including i) NLP infrastructure enabled by Big Data, ii) applied informatics in delivering enhanced analytics to the practice, iii) practice analytics which aims to deliver systematic approaches for quality improvement and comparative effectiveness analysis, and iv) knowledge discovery and management which aims to discover and manage domain knowledge and translate it into executable applications in practice.
 +
 +
Terms:  The position is available immediately. Mayo Clinic offers an attractive salary (commensurate with qualifications) and benefits package. Mayo Clinic is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.
 +
 +
Application Process: Please email Dr Hongfang Liu with your (1) resume/CV, (2) letter of application/cover letter, and (3) contact information for three references including mailing address, e-mail address, and phone number.
 +
 +
Hongfang Liu, PhD (liu.hongfang@mayo.edu)
 +
NLP Program Director
 +
Associate Professor of Biomedical Informatics
 +
Mayo Clinic, Rochester, MN
 +
 +
Mayo Clinic | Department of Health Sciences Research | Division of Biomedical Statistics & Informatics
 +
200 First Street SW | Rochester, MN  55905 | 507-293-0057 (office)
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
==Faculty Position at UC Berkeley School of Information (Assistant, Associate, Full) ==
 +
* Employer: UC Berkeley
 +
* Title: Professor (Assistant, Associate, or Full)
 +
* Specialty: many, see below
 +
* Location: Berkeley, CA, USA
 +
* Deadline: December 15, 2014
 +
* Date Posted: October 10, 2014
 +
* Website: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org
  
== Associate Research Scientist (NLP) at Educational Testing Service ==
+
The UC Berkeley School of Information is seeking a tenured or tenure-track professor with expertise in information organization.
 +
Candidates should have a demonstrated record of relevant research, with expertise in one or more of the following:
  
* Employer: Educational Testing Service (www.ets.org)
+
search and information retrieval
* Job Title: Associate Research Scientist (NLP)
+
- automated content analysis, including
* Location: Princeton, NJ
+
- applications to normalizing data and creating metadata, and/or applications to analyzing social science text, such as political text, or other information rich text such as - biomedical, legal, or marketing text;
* Deadline: Open until filled
+
- practical computational approaches for analyzing information in non-textual formats;
* Date Posted: 16-May-2012
+
- conceptual modeling of information systems;
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]
+
- computational approaches to cognition;
* Contact email: dyanchuk@ets.org
+
- semantic representation and annotation;
 +
- vocabulary and metadata design;
 +
- classification and standardization including policy considerations;
 +
- category learning at scale;
 +
- data wrangling.
  
'''JOB DESCRIPTION'''
+
A successful candidate will possess appropriate technical expertise and research excellence, and be committed to working on issues related to information and/or information system design and development in a multidisciplinary setting. Relevant professional or industry experience, including hands-on experience with large-scale collections, is also desirable.
  
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).
+
Additionally, a successful candidate must be able to teach a course in the design, structure, and use of category systems, data architecture and design for information systems, metadata creation and normalization, and data interchange formats and standards. Additional instructional topics that are desired but not required are database design, natural language processing, and information retrieval and ranking.
+
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
  
* 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.  
+
Applications are due December 15, 2014.
  
* 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.  
+
For more details, see the full job description at: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
==Post-doctoral position at McMaster University, Canada ==
 +
* Employer: McMaster University
 +
* Title: Postdoctoral Fellow
 +
* Specialty: natural language processing, sentiment analysis, computational linguistics.
 +
* Location: Hamilton, Ontario, Canada
 +
* Deadline: December 20, 2014
 +
* Date Posted: October 23, 2014
 +
* Website: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
Applications are solicited for a postdoctoral fellowship in the Cognitive Science of Language graduate program at McMaster University for the topic of developing psychologically grounded tools for sentiment analysis. Applicants would have their primary affiliation and work location in the Department of Linguistics and Languages at McMaster University, and will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. You will be expected to participate in a research program that explores individual and group (gender, age) variability in perception and regulation of emotion.  
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.  
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
Please see the following web page for further details and the application procedure:
 +
http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
 
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
== Post-doc in Bio-NLP Social Media Mining for Adverse Drug Reactions ==
 +
* Employer: University of Liverpool
 +
* Title: Postdoctoral Research Associate
 +
* Specialty: Bio-NLP, Natural Language Processing, Social Media Mining, Web Mining
 +
* Location: Liverpool, United Kingdom
 +
* Deadline: November 14, 2014 17:00 GMT
 +
* Date Posted: October 23, 2014
  
 
'''EXPERIENCE AND SKILLS'''
 
  
EDUCATION
+
You will work on the IMI project, WEB-RADR.  This is a highly innovative project involving collaboration across the EU and with researchers in the USA which will evaluate the use of social media in identifying adverse reactions to drugs.  You will be working between two Faculties (Science & Engineering, and Health & Life Sciences) and the project will be inherently inter-disciplinary.  Practical experience of software development, and good knowledge of Bio-NLP tasks such as NER, text classification, and social media analysis are essential to the role. You should have a PhD Level in NLP, Data/Web/Text Mining, or Machine Learning. The post is available until 31 August 2017.
  
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.
+
Please see the following web page for further details including job specifications and application form.
+
http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-586752/
EXPERIENCE
+
+
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.
+
  
+
==Tenure-track Faculty Position at University of Michigan School of Information==
'''APPLYING'''
+
* Employer: University of Michigan
 +
* Title: Assistant Professor
 +
* Specialty: Information Analysis and Retrieval
 +
* Location: Ann Arbor, Michigan, USA
 +
* Deadline: November 15, 2014 preferred
 +
* Date Posted: October 22, 2014
  
Interested parties can apply for the position through the following website:  
+
https://www.si.umich.edu/prospective-faculty/position-call-information-analysis-retrieval
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend
+
The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or “big data.” While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Applications of particular interest include, but are not limited to, scientific and health data analysis, text analysis, social media analysis and digital humanities.  
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.  
  
== Associate Research Engineer at Educational Testing Service ==
+
The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students. We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), and a Bachelor of Science in Information.
  
* Employer: Educational Testing Service (www.ets.org)
+
Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion.  
* Job Title: Associate Research Engineer
+
* Location: Princeton, NJ
+
* Deadline: Open until filled
+
* Date Posted: 15-May-2012
+
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]
+
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
+
Qualifications:
 +
* Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval
 +
* Demonstrated potential and strong commitment to successful teaching at the undergraduate and graduate level
 +
* Demonstrated potential for high scholarly impact
 +
* A strong commitment to connecting information, technology, and people that values interdisciplinary research, and cultural diversity
  
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).
+
Review of applications will begin on November 15, 2014 and will continue until the position is filled. For questions about potential fit and your application please contact Dr. Qiaozhu Mei (qmei@umich.edu).  
  
+
Application materials required: cover letter, curriculum vitae (CV), research statement, teaching statement, three representative publications, and contact information for three references. For more information or to apply, please visit http://apply.interfolio.com/27182.  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
* 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.  
+
  
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.
+
In addition to this position, the UMSI is also looking for applicants in the area of human-computer interaction, communication and technology, and health informatics.
  
* 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.
 
  
* 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.
+
==Asst/Assc/Full Professor, Ames, Iowa==
 +
* Employer: Iowa State University
 +
* Title: Assistant, Associate, or Full Professor
 +
* Specialty: Natural Language Processing
 +
* Location: Ames, Iowa, USA
 +
* Deadline: December 3, 2014
 +
* Date Posted: October 21, 2014
  
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
+
Iowa State University has launched the Presidential High Impact Hires Initiative to support targeted faculty hiring in areas of strategic importance. As part of the initiative, the Department of English and the College of Liberal Arts and Sciences invite applications for an Assistant, Associate, or Full Professor in natural language processing with an emphasis in educational applications, particularly analysis of students’ linguistic production. At the undergraduate level, the selected faculty will teach basic courses in English and Linguistics, and at the graduate level, courses in Applied Linguistics and Technology and in Human-Computer Interaction. Potential graduate course content includes programming for NLP, computational analysis of English, statistical analysis of language, discourse analysis, second language acquisition, sentiment analysis, language-based analytics, speech-driven user interfaces or automated content analysis, according to specialty. Research areas of particular interest are pedagogical applications of natural language processing, assessment of learners’ developing language ability, second language acquisition, statistical approaches to the study of language, and the analysis of discipline-specific language.  The position begins August 2015.
  
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
+
The Applied Linguistics and Technology and the Human-Computer Interaction programs attract forward-looking students, who create an exciting intellectual environment. The programs are part of the Department of English, which offers BA degree programs in English, Literature, Rhetorical Studies, and Speech Communication; a BS degree in Technical Communication; as well as—in partnership with the Department of World Languages and Cultures—a minor in World Film Studies. On the graduate level, the department offers MA degrees in Literature; Rhetoric, Composition, and Professional Communication; TESL/Applied Linguistics; as well as an MFA program in Creative Writing and the Environment. The department also offers two PhD programs in Applied Linguistics and Technology and Rhetoric and Professional Communication. The Department of English is committed to diversity among faculty, staff and students who can enrich University objectives in the areas of research, teaching, and service. For more information, see http://www.engl.iastate.edu/.
  
* Implement components of technical documentation of NLP software systems, solutions and results.
+
Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 34,000 students are enrolled, and served by over 6,100 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted second best most livable small city in the nation (see www.amescvb.com).
  
* Attend area-wide staff training and development sessions.  
+
Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.
+
'''EXPERIENCE AND SKILLS'''
+
  
EDUCATION
+
All faculty members are expected to exhibit and convey good citizenship within the program, the department, college, and university activities and collegial interactions, and maintain the highest standards of integrity and ethical behavior.
  
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
+
A PhD by time of appointment in computational linguistics, natural language processing, or related field for all ranksAssistant Professor, tenure-track- The potential for excellence in research and effectiveness in teaching;  Associate Professor – A demonstrated record of accomplishments in scholarship, including an outstanding publication record, demonstrated ability to obtain research funding and effectiveness in teaching;  Full Professor – A demonstrated record of intellectual leadership through high-impact scholarship, including an outstanding publication record, program of funded research and effectiveness in teaching.  Language teaching experience and language assessment experience preferred.
   
+
EXPERIENCE
+
  
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.
+
Please apply for this position through the Iowa State University website at www.iastatejobs.com (Posting #400050) or by visiting http://www.iastatejobs.com/postings/7815 and click on "Apply to this Job". Please be prepared to enter or attach the following: a letter of application/cover letter, curriculum vitae, statement of teaching/research interests, transcript or list of graduate courses taken, and contact information for three references. Priority consideration will be given to applications received by December 3, 2014.
  
OTHER REQUIREMENTS
+
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status, and will not be discriminated against. Inquiries can be directed to the Director of Equal Opportunity, 3350 Beardshear Hall, (515) 294-7612.
* Knowledge of UNIX and Windows computing environments.
+
  
* Familiarity with UNIX tools and scripting languages.
 
  
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.
 
  
* Excellent verbal and written communication skills.
+
==Computational Linguist, Wrocław, Poland==
 +
* Employer: Wrocław University of Technology
 +
* Title: Computational Linguist
 +
* Specialty: Natural Language Engineering, Computational Linguistics
 +
* Location: Wrocław, Poland/other
 +
* Deadline: until filled
 +
* Date Posted: October 15, 2014
  
 
'''APPLYING'''
 
  
Interested parties can apply for the position through the following website:
+
'''Team'''
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend
+
The academic group G4.19  brings together those interested in linguistics, computational linguistics, and natural language engineering. The Group develops and implements tools for natural language processing. The main focus is on the development of basic tools and language resources for Polish. The Group participates in a number of research projects, among others it coordinates the CLARIN-PL project: http://www.clarin-pl.eu.
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
'''Job description'''
 +
* designing algorithms for the analysis of natural language texts, based on the combination of linguistic knowledge and methods of artificial intelligence (including machine learning, rule-based methods and methods of statistical analysis),
 +
* developing computer systems related to natural language processing and coordinating the work of small teams of programmers (conducting test and research experiments),
 +
* active participation in the ongoing research projects (planning and realisation of experiments , data processing, realisation of dedicated research tasks of varying complexity),
 +
* active participation in preparing applications for new research grants,
 +
* active participation in writing research papers.
  
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
+
'''Requirements'''
 +
* enthusiastic approach to research and development of language technology for Polish,
 +
* good knowledge of at least one of the languages: C ++, Python or Java,
 +
* very welcome good knowledge of Polish,
 +
* knowledge of English sufficient for reading scientific publications and technical documentation,
 +
* welcome knowledge of Linux, Git, UML,
 +
* the preferred candidates should hold PhD degree in computer science, but we do not exclude  candidates holding PhD degree in a different field or those at the advanced stage of work on their PhD.
  
* Employer: Austrian Research Institute for Artificial Intelligence
+
'''We offer'''
* Group: Language Technology
+
* participation in large research projects at national and international level,
* Title: Junior Researcher
+
* good basis for a scientific career and an opportunity of writing a dissertation,
* Requirements:
+
* for PhD students: possibility of employment on a research assistant post,
** Permission to work within the European union
+
* choice of form of employment (contract or other),
** Excellent English language skills; knowledge of the German language is a plus
+
* attractive salary (in terms of market, not university wages),
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)
+
* interesting job in a dynamic team,
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)
+
* flexible working hours,
** Programming skills in C++, Perl and/or Java
+
* flexible working time.
** Strong ability to work independently and drive an original research agenda
+
* Deadline:  June 15, 2012
+
* Date Posted: May 14, 2012
+
* Contact: harald.trost@ofai.at
+
  
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".  
+
If interested, please send your CV and list of publications to: clarin-pl@pwr.edu.pl
  
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.
+
The application must include a statement: "I hereby agree for processing my personal data for the purpose of the recruitment process (in accordance with Personal Data Protection Act dated 29.08.1997, Journal of Laws of the Republic of Poland No. 133, item 883)."
  
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.
+
We kindly inform you that we will contact selected candidates only.
  
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
 
  
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).
 
  
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.
+
==Language Processing, Edinburgh, Scotland==
 +
* Employer: Daxtra Technologies (http://www.daxtra.com)
 +
* Title: Research Application Developer
 +
* Specialty: Natural Language Processing
 +
* Location: Musselburgh, nr Edinburgh, Scotland
 +
* Deadline: until filled
 +
* Date Posted: October 10, 2014
  
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.
 
  
 +
'''Job Description:'''
  
== Junior Research Group Leaders at Saarland University ==
+
Daxtra Technologies are looking for people with a background in applied language/text processing to join the R&D team in Edinburgh. Daxtra (a spin-out from the University of Edinburgh) is the leading provider of Natural Language Processing techniques
  
* Employer: Saarland University, Germany
+
You will be involved in multilingual grammar engineering, development of statistical text classifiers and search/retrieval components. Apart from a strong background in text processing you will need to demonstrate good experience in computer programming.
* Division: MMCI Cluster of Excellence
+
* Title: Junior Research Group Leaders
+
* Job ID: W490
+
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)
+
* Location: Saarbrücken, Germany
+
* Deadline:  April 30, 2012
+
* Date Posted: April 4, 2012
+
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
+
  
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.
 
  
Deadline for applications is April 30th, 2012.
+
'''Location:'''
  
For the complete announcement see:
+
Daxtra Technologies headquarters in Musselburgh, nr Edinburgh, Scotland
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
+
  
  
Additional information on the excellence cluster is available on
+
'''How to Apply:'''
http://www.mmci.uni-saarland.de/
+
  
 +
For further details or to send us your CV/resume, please contact a.nazarov@daxtra.com
  
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. 
 
  
== Scientist Position in Statistical Machine Translation at Microsoft ==
+
==Computational Linguists==
 +
* Employer: The Lingua Team
 +
* Title: Computational Linguist
 +
* Specialty: Natural Language Processing
 +
* Location: Seattle or remotely
 +
* Deadline: ASAP
 +
* Date Posted: September 22, 2014
  
* Employer: MICROSOFT
+
'''Description:'''
* Division: Online Services Division
+
We are looking for several candidates (one for each of the languages advertised) with an advanced degree in Linguistics, or with Computational linguist background. The projects involve morphology tagging and/or linguistic analysis, but they can be done remotely. Languages: French, German, Spanish, US English, Japanese, Brazilian Portuguese, Finnish, or Polish. Please, provide a resume with your email application.
* Title: Scientist Position
+
* Job ID: 789594
+
* Specialty: Statistical Machine Translation
+
* Location: Bellevue, WA or Mountain Vew, CA
+
* Deadline: As soon as possible
+
* Date Posted: March 30, 2012
+
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN
+
  
Scientist Position in Statistical Machine Translation
+
'''Qualifications:'''
+
* Computational Linguistics and/or advanced Linguistics degree
Research and Development Opportunities for Next Generation Technology at Microsoft
+
* Experience drafting grammars or adapting an existing grammar to a second language
+
* Programming experience desirable
Do you want to impact billions of people all over the world with speech technology that you create?
+
* Full understanding of inflectional and derivational morphology, POS, lemmatization, etc.
  
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,
+
'''Location:'''
weighted finite state transducers, natural language processing and machine learning will be preferred.
+
Seattle, WA or remote
+
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.
+
  
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.
+
'''How to Apply:'''
 +
Send your resume to info@thelinguateam.com
  
 +
== Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL ==
  
 +
* Employer: Toyota Technological Institute at Chicago
 +
* Title: Visiting student researcher
 +
* Specialty: Machine learning, NLP, speech
 +
* Location: Chicago, IL, United States, 60637
 +
* Deadline: Until filled
 +
* Date Posted: Sept 10, 2014
  
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==
 
  
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley
+
'''Job Description'''
* Title: Post MS, Post Doc, or above
+
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning
+
* Location: Mountain Vew, CA
+
* Deadline: As soon as possible
+
* Date Posted: March 21, 2012
+
* Contact: patrick.w.langley@gmail.com
+
  
An ongoing project has an opening for a researcher who will help extend
+
Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.
Icarus, a cognitive architecture, to reason about other agents' mental
+
states in the context of dialogues and joint activities. The framework
+
uses a logical formalism to encode knowledge, beliefs, and goals, and
+
it relies on a form of abduction to make plausible inferences. Experience
+
in building reasoning systems that operate over rich representations is
+
essential, and a background in applied logic, knowledge-based systems,
+
and/or cognitive architectures is highly desirable.
+
  
The location of the project will be Carnegie Mellon's Silicon Valley
 
Campus. The start date is negotiable, but the position will be available
 
on May 1, 2012, and the project has funding for another two years.
 
Interested parties should send their curriculum vitae, along with
 
the contact details for two or more references, to Pat Langley
 
<patrick.w.langley@gmail.com>.
 
  
 +
The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).
  
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==
 
  
* Employer: Illinois Institute of Technology
+
The target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.
 +
 
 +
 
 +
'''Responsibilities'''
 +
 
 +
The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.
 +
 
 +
 
 +
'''Qualifications'''
 +
 
 +
Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.
 +
 
 +
 
 +
'''How to Apply'''
 +
 
 +
Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:
 +
 
 +
* brief cover letter, describing your interest in and qualifications for the position
 +
*  curriculum vitae including publication list
 +
* two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)
 +
 
 +
Please see http://ttic.edu/bansal/slu-job.html for more information.
 +
 
 +
 
 +
== NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA ==
 +
 
 +
* Employer: Civis Analytics
 +
* Title: Data Scientist
 +
* Specialty: Natural Language Processing / Speech Processing / Machine Learning
 +
* Location: Chicago, Illinois, USA
 +
* Deadline: Rolling
 +
* Date Posted: July 7, 2014
 +
 
 +
'''Who We Are:'''
 +
 
 +
Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”
 +
 
 +
Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems.  We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.
 +
 
 +
We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.
 +
 
 +
We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.
 +
 
 +
We are smart, fun, and a little bit weird. Does this sound like you?
 +
 
 +
'''Job Description:'''
 +
 
 +
The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company.  Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.
 +
 
 +
With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis.  Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.
 +
 
 +
We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
 +
 
 +
'''Minimum Qualifications:'''
 +
 
 +
* Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
 +
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
 +
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
 +
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
 +
* Experience with SQL databases
 +
* Strong programming skills
 +
* Experience identifying and correcting for problems in imperfect data
 +
* An ability and eagerness to constantly learn and teach others
 +
 
 +
'''Preferred Qualifications:'''
 +
* PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
 +
* Ability to expand upon modern statistical learning methods
 +
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
 +
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
 +
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
 +
* Theoretical understanding sufficient to independently implement complex neural network architectures
 +
 
 +
'''Location:'''
 +
 
 +
This posting is for a position in Civis’ Chicago headquarters.
 +
 
 +
'''Dates:'''
 +
 
 +
We are hiring for multiple positions and will evaluate candidates as applications are received.
 +
 
 +
'''How to Apply:'''
 +
 
 +
Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il.
 +
Specific inquiries may be directed to Derrick Higgins: [mailto:dhiggins@civisanalytics.com dhiggins@civisanalytics.com].
 +
 
 +
 
 +
== Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France ==
 +
 
 +
* Employer: Aix-Marseille University
 
* Title: Postdoc
 
* Title: Postdoc
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor
+
* Specialty: Natural Language Processing
* Location: Chicago, IL
+
* Location: Luminy, Marseille, France
* Deadline: As soon as possible
+
* Deadline: July 1st, 2014
* Date Posted: March 13, 2012
+
* Date Posted: June 12, 2014
* Contact: argamon@iit.edu
+
  
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.
+
'''Job Description:'''
  
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.
+
We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You
 +
will contribute to conversation analysis summarization research to
 +
allow the exploitation of large quantity of comments in social
 +
media and spoken conversations.
  
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.
+
You will contribute to the design and development of speech and text
 +
summarization technologies for conversational data such as social
 +
media comments and tweets. There will be three components to the
 +
system: linguistic analysis of the conversations, content selection
 +
and aggregation, and generation of the summaries (text or other
 +
media). The approach is expected to make use of recent machine
 +
learning advances such as deep learning, and focus on limiting the
 +
quantity of supervision needed. The prototype will be evaluated by
 +
end-user professionals in ecological conditions.
  
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.
+
'''Qualifications:'''
  
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.
+
The applicant must hold a PhD degree, preferably in the field of
 +
natural language processing or machine learning. He/she should:
 +
* Be proficient in one of Java / C++ programming and python or php scripting
 +
* Have experience with developing efficient NLP / machine learning systems.
 +
* Be keen on researching the literature and writing papers
 +
* Enjoy team work and be autonomous
  
Review of applications will begin immediately and continue until the position is filled.
+
'''Location:'''
  
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==
+
You will work at the LIF computer science lab at Aix-Marseille
 +
University in France, at the Luminy campus next to the
 +
calanques.
  
* Employer: Google
+
'''Dates:'''
* Job title: Postdoc
+
* Specialty: Natural Language Processing, Machine Learning, summarization
+
* Location: Zurich, Switzerland
+
* Deadline: we are looking to fill the position soon
+
* Date posted: 1 March 2012
+
  
A post-doctoral position in the area of automatic text summarization
+
Interviews will be held in July 2014, the Postdoc will start in
within the RENDER project is available at the Google Switzerland R&D
+
september / october 2014 and last one year.
office. RENDER is a EU FP7 research project focused on identifying
+
diversity of opinions, viewpoints, mindsets and backgrounds in texts
+
from different sources: news, (micro) blog streams, and in
+
collaboratively written resources like Wikipedia. More information on
+
the project goals is available at http://render-project.eu/.
+
  
The duration of the post-doctoral contract will be one year, with the
+
'''How to Apply:'''
possibility of renewing for a second year. This position will allow
+
the candidate to perform research on several NLP-related areas,
+
to interact with the consortium partners and with other Google-internal
+
research and development projects, and to apply the results of the
+
research to real applications with a potentially large impact.
+
  
Requirements:
+
Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr
* 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.
+
* Extensive programming experience in C/C++.
+
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
+
* Fluency in English.
+
  
Responsibilities:
+
== Executive Director / CLARIN ERIC / Utrecht University, the Netherlands ==
* Perform research in the context of the project (text summarization).
+
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.
+
* Publish the result of the research in top conferences or journals.
+
* Be available to attend project meetings with the partners in the project.
+
  
For applying to this position, please send an e-mail to Enrique
+
* Employer: CLARIN ERIC through Utrecht University
Alfonseca (ealfonseca@google.com) including a paragraph on why you
+
* Title: Executive Director
think you are a right person for the role, and a brief CV.
+
* Specialty: Research Infrastructures
 +
* Location: Utrecht University, the Netherlands
 +
* Deadline: August 15, 2014
 +
* Date Posted: June 10, 2014
  
== 4 PhD positions in spoken dialogue systems research ==
+
'''Job Description:'''
  
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague
+
CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.
* Job title: 4 PhD positions in spoken dialogue systems research
+
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing
+
* Location: Prague, Czech Republic
+
* Deadline: 1 June 2012
+
* Date posted: 16 February 2012
+
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs
+
  
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.
+
As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.
  
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.  
+
The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.  
  
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.
+
'''Responsibilities:'''
  
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.
+
* Leading the Board of Directors of the CLARIN ERIC
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.
+
* Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
 +
* Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
 +
* Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
 +
* Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
 +
* Leading the international fundraising efforts for CLARIN
 +
* Monitoring and measuring CLARIN’s activities and reporting to General Assembly
 +
* Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
 +
* Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
 +
* Planning, organizing, and managing the main office in Utrecht, which includes recruitment
 +
* Facilitating and supporting the operation of CLARIN’s governance bodies
  
== Several Positions in Data2Text (Natural Language Generation) ==
+
'''Qualifications:'''
  
* Employer: Data2Text
+
* A higher university degree or equivalent qualifications and an international interdisciplinary network
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect
+
* Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
* Specialty: natural language generation, analytics
+
* An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
* Location: Aberdeen, Scotland, UK
+
* Excellent communicative skills
* Deadline: 2 March 2012
+
* A proven fundraising record
* Date posted: 7 February 2012
+
* A record of relevant academic excellence
* Link to website: http://www.data2text.com/careers
+
* The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies
  
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
+
'''How to Apply'''
research group.  We are looking to hire several people; please see our website for details
+
http://www.data2text.com/careers
+
  
This is a great opportunity for people who are keen on getting NLG technology
+
For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director
out into the real world. In addition to the advertised positions, we're happy to talk
+
to people who are knowledgeable about NLG and keen to develop commercial applications,
+
but whose profiles do not fit the advertised positions.
+
  
Information inquiries (from the ACL community) should be sent to Ehud Reiter
 
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
 
  
== PhD-position in sentiment mining and reputation analysis==
+
== Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California ==
  
* Employer: Erasmus University Rotterdam
+
* Employer: Bosch Research & Technology Center
* Job title: PhD-student
+
* Title: Research Scientist in Natural Language Technologies (PhD)
* Specialty: text mining, sentiment analysis, topic detection, reputation management
+
* Specialty: Natural Language Processing
* Location: Rottterdam, The Netherlands 
+
* Location: Palo Alto, California, United States, 94304
* Deadline: 1 March 2012
+
* Deadline: Until filled
* Date posted: 6 February 2012
+
* Date Posted: May 19, 2014
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
+
  
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.
+
'''Job Description:'''
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. 
+
  
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
+
The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers.  We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.  
  
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
+
To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.  
  
== PhD-position in folktale classification and clustering ==
+
'''Responsibilities:'''
* Employer: University of Twente
+
* Job title: PhD-student
+
* Specialty: text classification, document clustering, natural language processing
+
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands
+
* Deadline: 4 March 2012
+
* Date posted: 6 February 2012
+
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425
+
  
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.
+
* Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
 +
* Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
 +
* Communicate with business departments about the technology potentials as well as identify potential areas of business values.  
  
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.
 
  
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
+
'''Qualifications:'''
  
==Research Associate Position at Educational Testing Service==
+
* Ph.D. in Computer Science or related fields
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
+
* Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
* Job Title: Research Associate
+
* Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
* Location: Princeton, NJ
+
* Strong skills in coding (C/C++ or Java), algorithms and system design
* Deadline: Open until filled
+
* Very good communication skill together with good quality publication
* Date Posted: 28-Jan-2012
+
* Experience in text summarization research and development is a plus
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
+
* Experience in large system development and speech technology is a plus
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
 
  
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.
+
'''How to Apply'''
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
For more information, and to apply online, please visit http://bit.ly/1k8UZ57
  
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
 
  
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
 
  
* Plan and manage annotations for a variety of projects.
+
== Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL ==
  
* 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.
+
* Employer: Toyota Technological Institute at Chicago
 +
* Title: Post-doctoral scholar
 +
* Specialty: Machine learning, NLP, computer vision, speech
 +
* Location: Chicago, IL, United States, 60637
 +
* Deadline: Until filled
 +
* Date Posted: May 12, 2014
  
* 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.
 
  
* Design original research instruments and methods and applications of research.
+
'''Job Description'''
  
* 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.  
+
Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.
  
* 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.
 
  
* 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.
+
The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.
  
* 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.
 
  
* Contact, establish, and develop relationships with research community and with data sources.
+
The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan.  The position will remain open until filled.
  
* Arrange and attend conferences and meetings; present research findings at professional meetings.
 
  
'''EXPERIENCE AND SKILLS'''
+
'''Responsibilities'''
  
EDUCATION
+
The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.
  
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
 
  
EXPERIENCE
+
Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.
  
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.
 
  
APPLYING
+
'''Qualifications'''
  
Interested parties can apply for the position through the following website:
+
Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field.  There are no citizenship requirements.
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
 
  
If there are any questions, please contact:
+
'''How to Apply'''
  
Dave Yanchuk
+
Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:
(609) 406-5291
+
dyanchuk@ets.org
+
  
 +
* brief cover letter, describing your interest in and qualifications for the position
 +
* curriculum vitae including publication list
 +
* contact information for two or more researchers who can provide letters of reference
  
==Postdoc Position at HRL Laboratories==
+
Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.
* Employer: HRL Laboratories, LLC
+
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
+
* Location: Malibu, CA
+
* Deadline: Open until filled
+
* Date Posted: 26-Jan-2012
+
* Contact email: hmoon@hrl.com
+
  
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.
+
== Postdoctoral Fellow / INRIA / Saclay ==
For job considerations, please send your cover letter and CV to hmoon@hrl.com.
+
* Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
 +
* Title: PostDoc (12 months)
 +
* Specialty: Natural Language Processing
 +
* Location: Palaiseau, Ile-de-France, France
 +
* Deadline: June 30, 2014
 +
* Date Posted: May 6, 2014
  
Job Description:
 
  
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
+
'''Job Description'''
  
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.  
+
The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.
  
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.
+
'''Duties'''
  
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.
+
Reporting to the Dr. Gregory Grefenstette, your
 +
typical duties will include the following:  
  
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.
+
* Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
 +
* Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
 +
* Discover and adapt existing open data taxonomies to the platform;
 +
* Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources
  
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.
 
  
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.
+
'''Required Qualifications'''
  
 +
The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer
 +
science, computational linguistics or a related discipline.
 +
* Experience with natural language processing (e.g., Stanford Parser)
 +
* Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
 +
* Experience with classification algorithms
 +
* Familiarity with dealing with large, noisy data sets
 +
* Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
 +
* Desire to produce functioning end-to-end systems, life-scale live demos
 +
* Scientific rigour
 +
* Imagination
  
==Postdoc Position at Aberdeen University==
+
'''How to Apply'''
* Employer: University of Aberdeen
+
* Rank: Post-doctoral Research fellow
+
* Speciality: Intelligent Language/Multimodal Interfaces
+
* Location: Aberdeen, UK
+
* Deadline: 10-Feb-2012
+
* Date Posted: 19-Jan-2012
+
* Contact email: yaji.sripada@abdn.ac.uk
+
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.
+
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
+
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.
+
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.
+
As this post is externally funded it is available for a period of 2.5 years.
+
  
For more details  
+
Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242
  
Go to: http://www.abdn.ac.uk/jobs/index.php
+
Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.
Click on "External Applicants"
+
Enter the Post Reference Number 1228867 and click "Search"
+
  
==Postdoc or Research Associate - Natural Language Processing==
+
'''About Us'''
* Employer: IHMC (www.ihmc.us)
+
 
* Rank or Title: Research Associate - Natural Language Processing
+
Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..
* Specialty: Computational Linguistics, Natural Language Processing
+
 
* Location: Ocala, FL
+
For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014
* Deadline: Applications accepted until position is filled
+
 
* Date Posted: January 3rd, 2012
+
== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
* Contact email ywilks@ihmc.us
+
* Employer: University of British Columbia and BC Cancer Agency
 +
* Title: PostDoc
 +
* Specialty: Natural Language Processing, Machine Learning
 +
* Location: Vancouver, British Columbia, Canada
 +
* Deadline: Until filled
 +
* Date Posted: March 26, 2014
 +
 
 +
'''Job Description'''
 +
 
 +
The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics
 +
Technology Lab to conduct scientific research in the areas of bioinformatics and
 +
genomics, specifically related to automated analysis and annotation of cancer
 +
research literature.
 +
 
 +
The successful applicant will work with trainees and research scientists in a team
 +
that develops tools for a clinical genomics pipeline based on primary sequence
 +
analysis, to build natural language processing and machine learning tools that
 +
interpret identified mutations for their biological significance as they relate
 +
to reports in the relevant literature.
 +
 
 +
'''Duties'''
 +
 
 +
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
 +
typical duties will include the following:
 +
 
 +
* Building natural language processing and machine learning tools for automated literature survey
 +
* Analysis and annotation of data from genomics studies as they relate to the literature
 +
* Collaborating with biologists and clinical researchers on the accuracy of the results
 +
* Reporting research methods and results in meetings, seminars and conferences
 +
* Contribution to and leading scientific publications and research proposals
 +
 
 +
'''Required Qualifications'''
 +
 
 +
The ideal candidate should possess a PhD degree and recent proven experience in computer
 +
science, electrical engineering or a related discipline. A strong publication record in
 +
the field, and demonstrated technical writing skills are highly desirable. Prior research
 +
experience in bioinformatics is also desirable, but not required.
 +
 
 +
More experienced candidates will be considered for a Staff Scientist position, pending
 +
successful funding.
 +
 
 +
'''How to Apply'''
 +
 
 +
Please send your resume with cover letter to bcgscjobs@bcgsc.ca
 +
We request that you specify the position you are applying for by identifying the Job Code
 +
only ("PDFBTL 14-03-27") in the subject line of your emailed application.
 +
 
 +
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
 +
residents will be given priority.  
  
 
'''About Us'''
 
'''About Us'''
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
 
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.
 
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.
 
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.
 
  
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.
+
Genome Sciences Centre is a leading international institution for genomics and bioinformatics
+
research. Our mandate is to advance knowledge about cancer and other diseases, to improve human
Required:
+
health through disease prevention, diagnosis and therapeutic approaches, and to realize the
 +
social and economic benefits of genomics research.  
  
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
+
For more information, please visit www.bcgsc.ca
  
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
+
== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
 +
* Employer: University of Massachusetts Medical School
 +
* Title: PostDoc
 +
* Specialty: Natural Language Processing, Machine Learning
 +
* Location: Worcester, Massachusetts, United States, 01605
 +
* Deadline: Until filled
 +
* Date Posted: March 26, 2014
  
▪ Ph.D. in computational linguistics / natural language processing or related areas.
 
  
Skills and Experience:
+
'''Job Description'''
  
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
We are seeking 1~2 highly motivated postdoctoral research associate to
 +
join the Biomedical Natural Language Processing (BioNLP) group at
 +
UMass Medical School and UMass Amherst. This position will primarily
 +
be located at the UMass Medical School in Worcester, MA. The BioNLP
 +
group is actively pursuing many exciting projects including:
 +
information retrieval, information extraction, summarization, question
 +
answering, data mining, and patient-centered research. A highly
 +
productive candidate may transition to a faculty position.
  
▪ 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.
 
  
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
+
'''Responsibilities'''
  
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+
The successful candidates will help investigate new algorithms to
 +
support our current research thrusts. This will require extensive
 +
experience with data mining (DM) and natural language processing (NLP).
  
Apply to Yorick Wilks at: ywilks@ihmc.us
 
  
 +
'''Qualifications'''
  
 +
Candidates for this position should have a PhD in Computer Science or
 +
related field and a significant research record including
 +
publications in top conferences and journals in:
  
+
* Natural Language Processing
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
+
* Machine Learning
* Employer: Queens College of the City University of New York
+
* Data Mining or Data Analysis
* Location: New York, NY
+
 
* Deadline: Review of applications to begin on March 1, 2012
+
Proficiency in quantitative analytical methods and strong programming
* Website: http://www.cs.qc.cuny.edu/
+
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
* Date posted: January 4, 2012
+
extensive research experience in hands-on machine learning (ML) and
 +
data mining (DM), is essential. Additional experience in
 +
bioinformatics or figure search and analysis is desirable.
 +
 
 +
Successful applicants will join a vibrant collaborative research
 +
environment, will work closely with clinical investigators and senior
 +
personnel in the lab, and should have the ability to work effectively
 +
both independently and as part of a multidisciplinary team. The
 +
position will be for one year, renewable annually, starting Summer or Fall 2014.
 +
 
 +
 
 +
'''How to Apply'''
 +
 
 +
Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
 +
include a brief letter of introduction, a CV including list of
 +
publications in PDF format, and names and email addresses of 2-3 referees.
 +
 
 +
 
 +
'''Background'''
 +
 
 +
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
 +
 
 +
Competitive Salary based on experience.
 +
 
 +
== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==
 +
 
 +
* Employer: Educational Testing Service
 +
* Title: Research Director NLP and Speech Processing
 +
* Specialty: Natural Language Processing / Speech Processing
 +
* Location: Princeton, New Jersey, United States, 08541
 +
* Deadline: Until filled
 +
* Date Posted: March 12, 2014
 +
 
 +
'''Job Description:'''
 +
 
 +
ETS (Educational Testing Service), is headquartered in Princeton, NJ. 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.
 +
 
 +
Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.
 +
 
 +
Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.
 +
 
 +
In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.
 +
 
 +
Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.
 +
 
 +
'''Requirements:'''
 +
 
 +
To qualify, you must possess:
 +
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
 +
* Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
 +
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.
 +
 
 +
'''How to Apply:'''
 +
 
 +
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
 +
 
 +
'''Information about the institute:'''
 +
 
 +
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.
 +
 
 +
With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer
 +
 
 +
== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==
 +
 
 +
* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
 +
* Title: Research Intern
 +
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
 +
* Location: Darmstadt/Frankfurt am Main, Germany
 +
* Deadline: Until filled
 +
* Date Posted: January 20, 2014
 +
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de
 +
 
 +
'''Job Description:'''
 +
 
 +
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
 +
 
 +
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
 +
 
 +
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)
 +
 
 +
The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.
 +
 
 +
The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.
 +
 
 +
'''Requirements:'''
 +
 
 +
We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.
 +
 
 +
We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.
 +
 
 +
 
 +
'''How to Apply:'''
 +
 
 +
Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.
 +
 
 +
 
 +
'''Information about the institute:'''
 +
 
 +
The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.
 +
 
 +
 
 +
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
 +
 
 +
* Employer: The German Institute for International Educational Research (DIPF)
 +
* Title: Research Scientist
 +
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
 +
* Location: Frankfurt am Main, Germany
 +
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
 +
 
 +
'''Information about the institute:'''
 +
 
 +
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 +
 
 +
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.
 +
 
 +
 
 +
'''Job Description:'''
 +
 
 +
At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an
 +
 
 +
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
 +
 
 +
The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in  textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).
 +
 
 +
The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.
 +
 
 +
The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for  the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).
 +
 
 +
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
 +
 
 +
Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 +
 
 +
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 +
 
 +
'''Requirements:'''
 +
 
 +
* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
 +
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
 +
* Very good English language skills (written and spoken) and at least basic knowledge of German;
 +
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;
 +
 
 +
Experience in automated language processing, text mining or digital humanities is preferred.
 +
 
 +
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 +
 
 +
 
 +
'''How to apply:'''
 +
 
 +
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 +
 
 +
 
 +
 
 +
== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
 +
 
 +
* Employer: The German Institute for International Educational Research (DIPF)
 +
* Title: Research Scientist
 +
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
 +
* Location: Frankfurt am Main, Germany
 +
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
 +
 
 +
'''Information about the institute:'''
 +
 
 +
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 +
 
 +
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.
 +
 
 +
'''Job Description:'''
 +
 
 +
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
 +
 
 +
* Research Scientist (two-year contract, full time, EG13 TV-H*)
 +
 
 +
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
 +
 
 +
 
 +
The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013  at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education.  The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.
 +
 
 +
The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.
 +
 
 +
The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
 +
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management. 
 +
 
 +
A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 +
 
 +
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 +
 
 +
 
 +
'''Requirements:'''
 +
 
 +
- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
 +
- Very good English language skills (written and spoken) and at least basic skills in German;
 +
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
 +
- Experience in coordinating distributed software development and its Integration;
 +
- Experience in conceptualising and conducting events for scientists, users, and the public.
 +
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.
 +
 
 +
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
 +
 
 +
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 +
 
 +
 
 +
'''How to apply:'''
 +
 
 +
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 +
 
 +
 
 +
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
 +
 
 +
* Employer: Institute of Information Science, Academia Sinica
 +
* Rank or Title: Assistant/Associate/Full Research Fellow
 +
* Specialty: Chinese Natural Language Processing and Knowledge Representation
 +
* Location: Taipei, Taiwan
 +
* Deadline: Open until filled
 +
* Date Posted: January 7, 2014
 +
* Contact email: recruit@iis.sinica.edu.tw
 +
 
 +
'''Job Description:'''
 +
 
 +
The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.
 +
 
 +
Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.
 +
 
 +
Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.
 +
 
 +
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
 +
 
 +
'''Required Qualifications:'''
 +
 
 +
All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.
 +
 
 +
Fluency in Chinese is an advantage, but not required.
 +
 
 +
'''How to Apply:'''
 +
 
 +
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
 +
 
 +
Dr. Wen-Lian Hsu, Director
 +
 
 +
Institute of Information Science
 +
 
 +
Academia Sinica
 +
 
 +
Nankang 115, Taipei, Taiwan
 +
 
 +
TEL: 886-2-2788-3799ext.1804
 +
 
 +
FAX:886-2-2782-4814
 +
 
 +
E-mail: recruit@iis.sinica.edu.tw
 +
 
 +
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
 +
 
 +
* Employer: Johns Hopkins University
 +
* Rank or Title: Postdoctoral Fellow
 +
* Specialty: Computational Linguistics/Cognitive Science
 +
* Location: Baltimore, MD, USA
 +
* Deadline: February 17, 2014 or until filled
 +
* Date Posted: January 7, 2014
 +
* Contact email: INSPIREpostdoc@jhu.edu
 +
 
 +
'''Brief Job Description:'''
 +
 
 +
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.
 +
 
 +
The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.
  
'''Visiting Assistant/Associate/Full Professor'''
+
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
  
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.
+
'''Detailed Job Description:'''
  
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.
+
The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.
  
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/
+
The ideal appointee will conduct development and extensive testing of:
  
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.
+
* general-purpose software to support symbolic-level computation over gradient symbol structures
  
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
  
Dr. Matt Huenerfauth, Search Committee Chair
+
* new machine-learning algorithms, including deep compositional networks
  
Department of Computer Science
+
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  
Queens College-CUNY
+
* new psycholinguistic models of human syntactic production and comprehension processes
  
65-30 Kissena Blvd.  
+
Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.  
  
Flushing, New York 11365-1597
+
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
  
matthew.huenerfauth (at) qc.cuny.edu
+
'''How to Apply:'''
  
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.
+
Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.  
  
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.
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Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.

Latest revision as of 12:18, 9 December 2014


Contents

Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence

  • Employer: Allen Institute for Artificial Intelligence (AI2)
  • Title: Post-doc/Research Scientist
  • Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
  • Location: Seattle, WA
  • Deadline: N/A, we are hiring throughout 2015
  • Date posted: 12/9/2014
  • Contact information: ai2-info@allenai.org, allenai.org

Job Description

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

Position Summary

AI2 currently has projects in the following areas:

  • Language and Vision
  • Information extraction and semantic parsing
  • Question answering
  • Language and reasoning
  • Machine learning and theory formation
  • Semantic search
  • Diagram understanding

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

Applicant

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation. We look favorably upon extensive work experience demonstrating application of your research.

Application Process

All candidates are required to send a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) to ai2-info@allenai.org. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.

Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)

  • Employer: Apple Inc.
  • Title: Language Understanding / Dialog Scientist
  • Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
  • Location: Cupertino, CA
  • Deadline: rolling
  • Date Posted: December 2, 2014
  • Thomas Kollar: tkollar@apple.com

Description: Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.

Key Qualifications

  • Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
  • Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
  • Exceptional analytical, troubleshooting and problem solving skills
  • Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
  • Strong software engineering skills
  • Experience working with multilingual datasets
  • Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus

Description You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.

Education M.S. or PhD in Computer Science or related field

Additional Requirements 2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.

Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering

  • Employer: The Ohio State University
  • Title: Assistant/Associate/Full Professor
  • Specialty: open, two positions in Data Analytics
  • Location: Columbus, OH, USA
  • Deadline: January 31, 2015 (Consideration starts November 2014)
  • Date Posted: November 17, 2014
  • Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi

The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.

Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.

The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.

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.

To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.

Review of applications will begin in November 2014 and will continue until the positions are filled.

The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

Postdoctoral positions in NLP and text/data analytics at Mayo Clinic

  • Employer: Mayo Clinic
  • Title: Postdoctoral
  • Specialty: many, see below
  • Location:Rochester, MN, USA
  • Deadline: December 25, 2014
  • Date Posted: November 6, 2014
  • Website: http://www.mayo.edu

Mayo Clinic Natural Language Processing (NLP) Program is currently seeking multiple talented postdoctoral candidates with research interest in NLP, text mining, or predictive analytics to join the program. The appointee will join a diverse team of researchers in Mayo Clinic NLP Program to research on information extraction (IE), information retrieval (IR), and predictive analytics techniques in the big data era for better information access and delivery, document processing, text mining, and advanced analytics in the clinical and biomedical domain.

Key requirements and selection criteria for the position include: - PhD in Biomedical Informatics, Computer Science, Statistics, Bioinformatics, Computational Linguistics, Artificial Intelligence, or a related discipline - Demonstrated expertise in some of the following areas: information retrieval, natural language processing, machine learning, data mining, human computer interaction in an IR setting, knowledge extraction and management

Other desirable skills and selection criteria include: - Knowledge of big data techniques is plus. - Demonstrated informatics expertise in some of the following areas: literature mining, clinical natural language processing, clinical terminology and ontology, clinical data warehouse and secondary use of EMR applications - Good interpersonal and communication skills and a demonstrated commitment to working collaboratively inside NLP program and a strong interest and devotion in working with clinicians and biomedical researchers - Familiar with Unstructured Information Management Architecture (UIMA) framework and programming skills in a variety of languages - Demonstrated experience in machine learning and statistical techniques and/or experimental design and analysis for clinical and biomedical studies

Team: Mayo NLP program is a hybrid program which aims to conduct the state-of-the-art NLP research and translating NLP research into practical NLP algorithms to facilitate clinical research and practice. The program consists of seven postdoctoral NLP experts and a handful of NLP software engineers. The program plays a significant role in multiple institutional initiatives including i) NLP infrastructure enabled by Big Data, ii) applied informatics in delivering enhanced analytics to the practice, iii) practice analytics which aims to deliver systematic approaches for quality improvement and comparative effectiveness analysis, and iv) knowledge discovery and management which aims to discover and manage domain knowledge and translate it into executable applications in practice.

Terms: The position is available immediately. Mayo Clinic offers an attractive salary (commensurate with qualifications) and benefits package. Mayo Clinic is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.

Application Process: Please email Dr Hongfang Liu with your (1) resume/CV, (2) letter of application/cover letter, and (3) contact information for three references including mailing address, e-mail address, and phone number.

Hongfang Liu, PhD (liu.hongfang@mayo.edu) NLP Program Director Associate Professor of Biomedical Informatics Mayo Clinic, Rochester, MN

Mayo Clinic | Department of Health Sciences Research | Division of Biomedical Statistics & Informatics 200 First Street SW | Rochester, MN 55905 | 507-293-0057 (office)

Faculty Position at UC Berkeley School of Information (Assistant, Associate, Full)

The UC Berkeley School of Information is seeking a tenured or tenure-track professor with expertise in information organization. Candidates should have a demonstrated record of relevant research, with expertise in one or more of the following:

search and information retrieval - automated content analysis, including - applications to normalizing data and creating metadata, and/or applications to analyzing social science text, such as political text, or other information rich text such as - biomedical, legal, or marketing text; - practical computational approaches for analyzing information in non-textual formats; - conceptual modeling of information systems; - computational approaches to cognition; - semantic representation and annotation; - vocabulary and metadata design; - classification and standardization including policy considerations; - category learning at scale; - data wrangling.

A successful candidate will possess appropriate technical expertise and research excellence, and be committed to working on issues related to information and/or information system design and development in a multidisciplinary setting. Relevant professional or industry experience, including hands-on experience with large-scale collections, is also desirable.

Additionally, a successful candidate must be able to teach a course in the design, structure, and use of category systems, data architecture and design for information systems, metadata creation and normalization, and data interchange formats and standards. Additional instructional topics that are desired but not required are database design, natural language processing, and information retrieval and ranking.

Applications are due December 15, 2014.

For more details, see the full job description at: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org

Post-doctoral position at McMaster University, Canada

  • Employer: McMaster University
  • Title: Postdoctoral Fellow
  • Specialty: natural language processing, sentiment analysis, computational linguistics.
  • Location: Hamilton, Ontario, Canada
  • Deadline: December 20, 2014
  • Date Posted: October 23, 2014
  • Website: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf

Applications are solicited for a postdoctoral fellowship in the Cognitive Science of Language graduate program at McMaster University for the topic of developing psychologically grounded tools for sentiment analysis. Applicants would have their primary affiliation and work location in the Department of Linguistics and Languages at McMaster University, and will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. You will be expected to participate in a research program that explores individual and group (gender, age) variability in perception and regulation of emotion.

Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.

Please see the following web page for further details and the application procedure: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf


Post-doc in Bio-NLP Social Media Mining for Adverse Drug Reactions

  • Employer: University of Liverpool
  • Title: Postdoctoral Research Associate
  • Specialty: Bio-NLP, Natural Language Processing, Social Media Mining, Web Mining
  • Location: Liverpool, United Kingdom
  • Deadline: November 14, 2014 17:00 GMT
  • Date Posted: October 23, 2014


You will work on the IMI project, WEB-RADR. This is a highly innovative project involving collaboration across the EU and with researchers in the USA which will evaluate the use of social media in identifying adverse reactions to drugs. You will be working between two Faculties (Science & Engineering, and Health & Life Sciences) and the project will be inherently inter-disciplinary. Practical experience of software development, and good knowledge of Bio-NLP tasks such as NER, text classification, and social media analysis are essential to the role. You should have a PhD Level in NLP, Data/Web/Text Mining, or Machine Learning. The post is available until 31 August 2017.

Please see the following web page for further details including job specifications and application form. http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-586752/

Tenure-track Faculty Position at University of Michigan School of Information

  • Employer: University of Michigan
  • Title: Assistant Professor
  • Specialty: Information Analysis and Retrieval
  • Location: Ann Arbor, Michigan, USA
  • Deadline: November 15, 2014 preferred
  • Date Posted: October 22, 2014

https://www.si.umich.edu/prospective-faculty/position-call-information-analysis-retrieval

The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or “big data.” While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Applications of particular interest include, but are not limited to, scientific and health data analysis, text analysis, social media analysis and digital humanities.

The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.

The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students. We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), and a Bachelor of Science in Information.

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion.

Qualifications:

  • Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval
  • Demonstrated potential and strong commitment to successful teaching at the undergraduate and graduate level
  • Demonstrated potential for high scholarly impact
  • A strong commitment to connecting information, technology, and people that values interdisciplinary research, and cultural diversity

Review of applications will begin on November 15, 2014 and will continue until the position is filled. For questions about potential fit and your application please contact Dr. Qiaozhu Mei (qmei@umich.edu).

Application materials required: cover letter, curriculum vitae (CV), research statement, teaching statement, three representative publications, and contact information for three references. For more information or to apply, please visit http://apply.interfolio.com/27182.

In addition to this position, the UMSI is also looking for applicants in the area of human-computer interaction, communication and technology, and health informatics.


Asst/Assc/Full Professor, Ames, Iowa

  • Employer: Iowa State University
  • Title: Assistant, Associate, or Full Professor
  • Specialty: Natural Language Processing
  • Location: Ames, Iowa, USA
  • Deadline: December 3, 2014
  • Date Posted: October 21, 2014

Iowa State University has launched the Presidential High Impact Hires Initiative to support targeted faculty hiring in areas of strategic importance. As part of the initiative, the Department of English and the College of Liberal Arts and Sciences invite applications for an Assistant, Associate, or Full Professor in natural language processing with an emphasis in educational applications, particularly analysis of students’ linguistic production. At the undergraduate level, the selected faculty will teach basic courses in English and Linguistics, and at the graduate level, courses in Applied Linguistics and Technology and in Human-Computer Interaction. Potential graduate course content includes programming for NLP, computational analysis of English, statistical analysis of language, discourse analysis, second language acquisition, sentiment analysis, language-based analytics, speech-driven user interfaces or automated content analysis, according to specialty. Research areas of particular interest are pedagogical applications of natural language processing, assessment of learners’ developing language ability, second language acquisition, statistical approaches to the study of language, and the analysis of discipline-specific language. The position begins August 2015.

The Applied Linguistics and Technology and the Human-Computer Interaction programs attract forward-looking students, who create an exciting intellectual environment. The programs are part of the Department of English, which offers BA degree programs in English, Literature, Rhetorical Studies, and Speech Communication; a BS degree in Technical Communication; as well as—in partnership with the Department of World Languages and Cultures—a minor in World Film Studies. On the graduate level, the department offers MA degrees in Literature; Rhetoric, Composition, and Professional Communication; TESL/Applied Linguistics; as well as an MFA program in Creative Writing and the Environment. The department also offers two PhD programs in Applied Linguistics and Technology and Rhetoric and Professional Communication. The Department of English is committed to diversity among faculty, staff and students who can enrich University objectives in the areas of research, teaching, and service. For more information, see http://www.engl.iastate.edu/.

Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 34,000 students are enrolled, and served by over 6,100 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted second best most livable small city in the nation (see www.amescvb.com).

Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.

All faculty members are expected to exhibit and convey good citizenship within the program, the department, college, and university activities and collegial interactions, and maintain the highest standards of integrity and ethical behavior.

A PhD by time of appointment in computational linguistics, natural language processing, or related field for all ranks. Assistant Professor, tenure-track- The potential for excellence in research and effectiveness in teaching; Associate Professor – A demonstrated record of accomplishments in scholarship, including an outstanding publication record, demonstrated ability to obtain research funding and effectiveness in teaching; Full Professor – A demonstrated record of intellectual leadership through high-impact scholarship, including an outstanding publication record, program of funded research and effectiveness in teaching. Language teaching experience and language assessment experience preferred.

Please apply for this position through the Iowa State University website at www.iastatejobs.com (Posting #400050) or by visiting http://www.iastatejobs.com/postings/7815 and click on "Apply to this Job". Please be prepared to enter or attach the following: a letter of application/cover letter, curriculum vitae, statement of teaching/research interests, transcript or list of graduate courses taken, and contact information for three references. Priority consideration will be given to applications received by December 3, 2014.

Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status, and will not be discriminated against. Inquiries can be directed to the Director of Equal Opportunity, 3350 Beardshear Hall, (515) 294-7612.


Computational Linguist, Wrocław, Poland

  • Employer: Wrocław University of Technology
  • Title: Computational Linguist
  • Specialty: Natural Language Engineering, Computational Linguistics
  • Location: Wrocław, Poland/other
  • Deadline: until filled
  • Date Posted: October 15, 2014


Team

The academic group G4.19 brings together those interested in linguistics, computational linguistics, and natural language engineering. The Group develops and implements tools for natural language processing. The main focus is on the development of basic tools and language resources for Polish. The Group participates in a number of research projects, among others it coordinates the CLARIN-PL project: http://www.clarin-pl.eu.

Job description

  • designing algorithms for the analysis of natural language texts, based on the combination of linguistic knowledge and methods of artificial intelligence (including machine learning, rule-based methods and methods of statistical analysis),
  • developing computer systems related to natural language processing and coordinating the work of small teams of programmers (conducting test and research experiments),
  • active participation in the ongoing research projects (planning and realisation of experiments , data processing, realisation of dedicated research tasks of varying complexity),
  • active participation in preparing applications for new research grants,
  • active participation in writing research papers.

Requirements

  • enthusiastic approach to research and development of language technology for Polish,
  • good knowledge of at least one of the languages: C ++, Python or Java,
  • very welcome good knowledge of Polish,
  • knowledge of English sufficient for reading scientific publications and technical documentation,
  • welcome knowledge of Linux, Git, UML,
  • the preferred candidates should hold PhD degree in computer science, but we do not exclude candidates holding PhD degree in a different field or those at the advanced stage of work on their PhD.

We offer

  • participation in large research projects at national and international level,
  • good basis for a scientific career and an opportunity of writing a dissertation,
  • for PhD students: possibility of employment on a research assistant post,
  • choice of form of employment (contract or other),
  • attractive salary (in terms of market, not university wages),
  • interesting job in a dynamic team,
  • flexible working hours,
  • flexible working time.

If interested, please send your CV and list of publications to: clarin-pl@pwr.edu.pl

The application must include a statement: "I hereby agree for processing my personal data for the purpose of the recruitment process (in accordance with Personal Data Protection Act dated 29.08.1997, Journal of Laws of the Republic of Poland No. 133, item 883)."

We kindly inform you that we will contact selected candidates only.


Language Processing, Edinburgh, Scotland

  • Employer: Daxtra Technologies (http://www.daxtra.com)
  • Title: Research Application Developer
  • Specialty: Natural Language Processing
  • Location: Musselburgh, nr Edinburgh, Scotland
  • Deadline: until filled
  • Date Posted: October 10, 2014


Job Description:

Daxtra Technologies are looking for people with a background in applied language/text processing to join the R&D team in Edinburgh. Daxtra (a spin-out from the University of Edinburgh) is the leading provider of Natural Language Processing techniques

You will be involved in multilingual grammar engineering, development of statistical text classifiers and search/retrieval components. Apart from a strong background in text processing you will need to demonstrate good experience in computer programming.


Location:

Daxtra Technologies headquarters in Musselburgh, nr Edinburgh, Scotland


How to Apply:

For further details or to send us your CV/resume, please contact a.nazarov@daxtra.com


Computational Linguists

  • Employer: The Lingua Team
  • Title: Computational Linguist
  • Specialty: Natural Language Processing
  • Location: Seattle or remotely
  • Deadline: ASAP
  • Date Posted: September 22, 2014

Description: We are looking for several candidates (one for each of the languages advertised) with an advanced degree in Linguistics, or with Computational linguist background. The projects involve morphology tagging and/or linguistic analysis, but they can be done remotely. Languages: French, German, Spanish, US English, Japanese, Brazilian Portuguese, Finnish, or Polish. Please, provide a resume with your email application.

Qualifications:

  • Computational Linguistics and/or advanced Linguistics degree
  • Experience drafting grammars or adapting an existing grammar to a second language
  • Programming experience desirable
  • Full understanding of inflectional and derivational morphology, POS, lemmatization, etc.

Location: Seattle, WA or remote

How to Apply: Send your resume to info@thelinguateam.com

Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL

  • Employer: Toyota Technological Institute at Chicago
  • Title: Visiting student researcher
  • Specialty: Machine learning, NLP, speech
  • Location: Chicago, IL, United States, 60637
  • Deadline: Until filled
  • Date Posted: Sept 10, 2014


Job Description

Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.


The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).


The target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.


Responsibilities

The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.


Qualifications

Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.


How to Apply

Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:

  • brief cover letter, describing your interest in and qualifications for the position
  • curriculum vitae including publication list
  • two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)

Please see http://ttic.edu/bansal/slu-job.html for more information.


NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA

  • Employer: Civis Analytics
  • Title: Data Scientist
  • Specialty: Natural Language Processing / Speech Processing / Machine Learning
  • Location: Chicago, Illinois, USA
  • Deadline: Rolling
  • Date Posted: July 7, 2014

Who We Are:

Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”

Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems. We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.

We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.

We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.

We are smart, fun, and a little bit weird. Does this sound like you?

Job Description:

The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.

With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.

We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

Minimum Qualifications:

  • Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
  • Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
  • Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
  • Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
  • Experience with SQL databases
  • Strong programming skills
  • Experience identifying and correcting for problems in imperfect data
  • An ability and eagerness to constantly learn and teach others

Preferred Qualifications:

  • PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
  • Ability to expand upon modern statistical learning methods
  • Significant work experience in applying the methodology of one or more unstructured data analysis fields
  • High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
  • Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
  • Theoretical understanding sufficient to independently implement complex neural network architectures

Location:

This posting is for a position in Civis’ Chicago headquarters.

Dates:

We are hiring for multiple positions and will evaluate candidates as applications are received.

How to Apply:

Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il. Specific inquiries may be directed to Derrick Higgins: dhiggins@civisanalytics.com.


Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France

  • Employer: Aix-Marseille University
  • Title: Postdoc
  • Specialty: Natural Language Processing
  • Location: Luminy, Marseille, France
  • Deadline: July 1st, 2014
  • Date Posted: June 12, 2014

Job Description:

We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You will contribute to conversation analysis summarization research to allow the exploitation of large quantity of comments in social media and spoken conversations.

You will contribute to the design and development of speech and text summarization technologies for conversational data such as social media comments and tweets. There will be three components to the system: linguistic analysis of the conversations, content selection and aggregation, and generation of the summaries (text or other media). The approach is expected to make use of recent machine learning advances such as deep learning, and focus on limiting the quantity of supervision needed. The prototype will be evaluated by end-user professionals in ecological conditions.

Qualifications:

The applicant must hold a PhD degree, preferably in the field of natural language processing or machine learning. He/she should:

  • Be proficient in one of Java / C++ programming and python or php scripting
  • Have experience with developing efficient NLP / machine learning systems.
  • Be keen on researching the literature and writing papers
  • Enjoy team work and be autonomous

Location:

You will work at the LIF computer science lab at Aix-Marseille University in France, at the Luminy campus next to the calanques.

Dates:

Interviews will be held in July 2014, the Postdoc will start in september / october 2014 and last one year.

How to Apply:

Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr

Executive Director / CLARIN ERIC / Utrecht University, the Netherlands

  • Employer: CLARIN ERIC through Utrecht University
  • Title: Executive Director
  • Specialty: Research Infrastructures
  • Location: Utrecht University, the Netherlands
  • Deadline: August 15, 2014
  • Date Posted: June 10, 2014

Job Description:

CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.

As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.

The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.

Responsibilities:

  • Leading the Board of Directors of the CLARIN ERIC
  • Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
  • Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
  • Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
  • Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
  • Leading the international fundraising efforts for CLARIN
  • Monitoring and measuring CLARIN’s activities and reporting to General Assembly
  • Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
  • Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
  • Planning, organizing, and managing the main office in Utrecht, which includes recruitment
  • Facilitating and supporting the operation of CLARIN’s governance bodies

Qualifications:

  • A higher university degree or equivalent qualifications and an international interdisciplinary network
  • Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
  • An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
  • Excellent communicative skills
  • A proven fundraising record
  • A record of relevant academic excellence
  • The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies

How to Apply

For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director


Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California

  • Employer: Bosch Research & Technology Center
  • Title: Research Scientist in Natural Language Technologies (PhD)
  • Specialty: Natural Language Processing
  • Location: Palo Alto, California, United States, 94304
  • Deadline: Until filled
  • Date Posted: May 19, 2014

Job Description:

The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers. We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.

To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.

Responsibilities:

  • Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
  • Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
  • Communicate with business departments about the technology potentials as well as identify potential areas of business values.


Qualifications:

  • Ph.D. in Computer Science or related fields
  • Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
  • Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
  • Strong skills in coding (C/C++ or Java), algorithms and system design
  • Very good communication skill together with good quality publication
  • Experience in text summarization research and development is a plus
  • Experience in large system development and speech technology is a plus


How to Apply

For more information, and to apply online, please visit http://bit.ly/1k8UZ57


Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL

  • Employer: Toyota Technological Institute at Chicago
  • Title: Post-doctoral scholar
  • Specialty: Machine learning, NLP, computer vision, speech
  • Location: Chicago, IL, United States, 60637
  • Deadline: Until filled
  • Date Posted: May 12, 2014


Job Description

Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.


The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.


The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan. The position will remain open until filled.


Responsibilities

The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.


Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.


Qualifications

Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field. There are no citizenship requirements.


How to Apply

Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:

  • brief cover letter, describing your interest in and qualifications for the position
  • curriculum vitae including publication list
  • contact information for two or more researchers who can provide letters of reference

Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.

Postdoctoral Fellow / INRIA / Saclay

  • Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
  • Title: PostDoc (12 months)
  • Specialty: Natural Language Processing
  • Location: Palaiseau, Ile-de-France, France
  • Deadline: June 30, 2014
  • Date Posted: May 6, 2014


Job Description

The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.

Duties

Reporting to the Dr. Gregory Grefenstette, your typical duties will include the following:

  • Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
  • Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
  • Discover and adapt existing open data taxonomies to the platform;
  • Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources


Required Qualifications

The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer science, computational linguistics or a related discipline.

  • Experience with natural language processing (e.g., Stanford Parser)
  • Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
  • Experience with classification algorithms
  • Familiarity with dealing with large, noisy data sets
  • Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
  • Desire to produce functioning end-to-end systems, life-scale live demos
  • Scientific rigour
  • Imagination

How to Apply

Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242

Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.

About Us

Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..

For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014

Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre

  • Employer: University of British Columbia and BC Cancer Agency
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Vancouver, British Columbia, Canada
  • Deadline: Until filled
  • Date Posted: March 26, 2014

Job Description

The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics Technology Lab to conduct scientific research in the areas of bioinformatics and genomics, specifically related to automated analysis and annotation of cancer research literature.

The successful applicant will work with trainees and research scientists in a team that develops tools for a clinical genomics pipeline based on primary sequence analysis, to build natural language processing and machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.

Duties

Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your typical duties will include the following:

  • Building natural language processing and machine learning tools for automated literature survey
  • Analysis and annotation of data from genomics studies as they relate to the literature
  • Collaborating with biologists and clinical researchers on the accuracy of the results
  • Reporting research methods and results in meetings, seminars and conferences
  • Contribution to and leading scientific publications and research proposals

Required Qualifications

The ideal candidate should possess a PhD degree and recent proven experience in computer science, electrical engineering or a related discipline. A strong publication record in the field, and demonstrated technical writing skills are highly desirable. Prior research experience in bioinformatics is also desirable, but not required.

More experienced candidates will be considered for a Staff Scientist position, pending successful funding.

How to Apply

Please send your resume with cover letter to bcgscjobs@bcgsc.ca We request that you specify the position you are applying for by identifying the Job Code only ("PDFBTL 14-03-27") in the subject line of your emailed application.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

About Us

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA

  • Employer: University of Massachusetts Medical School
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Worcester, Massachusetts, United States, 01605
  • Deadline: Until filled
  • Date Posted: March 26, 2014


Job Description

We are seeking 1~2 highly motivated postdoctoral research associate to join the Biomedical Natural Language Processing (BioNLP) group at UMass Medical School and UMass Amherst. This position will primarily be located at the UMass Medical School in Worcester, MA. The BioNLP group is actively pursuing many exciting projects including: information retrieval, information extraction, summarization, question answering, data mining, and patient-centered research. A highly productive candidate may transition to a faculty position.


Responsibilities

The successful candidates will help investigate new algorithms to support our current research thrusts. This will require extensive experience with data mining (DM) and natural language processing (NLP).


Qualifications

Candidates for this position should have a PhD in Computer Science or related field and a significant research record including publications in top conferences and journals in:

  • Natural Language Processing
  • Machine Learning
  • Data Mining or Data Analysis

Proficiency in quantitative analytical methods and strong programming skills (e.g., python, matlab, java, C/C++, weka, etc.), along with extensive research experience in hands-on machine learning (ML) and data mining (DM), is essential. Additional experience in bioinformatics or figure search and analysis is desirable.

Successful applicants will join a vibrant collaborative research environment, will work closely with clinical investigators and senior personnel in the lab, and should have the ability to work effectively both independently and as part of a multidisciplinary team. The position will be for one year, renewable annually, starting Summer or Fall 2014.


How to Apply

Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and include a brief letter of introduction, a CV including list of publications in PDF format, and names and email addresses of 2-3 referees.


Background

Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.

Competitive Salary based on experience.

Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey

  • Employer: Educational Testing Service
  • Title: Research Director NLP and Speech Processing
  • Specialty: Natural Language Processing / Speech Processing
  • Location: Princeton, New Jersey, United States, 08541
  • Deadline: Until filled
  • Date Posted: March 12, 2014

Job Description:

ETS (Educational Testing Service), is headquartered in Princeton, NJ. 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.

Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.

Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.

In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.

Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.

Requirements:

To qualify, you must possess:

  • A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
  • Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
  • Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.

How to Apply:

Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538

Information about the institute:

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.

With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer

Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

  • Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
  • Title: Research Intern
  • Specialty: Natural Language Processing / Text Mining / Digital Humanities
  • Location: Darmstadt/Frankfurt am Main, Germany
  • Deadline: Until filled
  • Date Posted: January 20, 2014
  • Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de

Job Description:

The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as

  • Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)

The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.

The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.

Requirements:

We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.

We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.


How to Apply:

Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.


Information about the institute:

The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.


Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: Automated Language Processing / Text Mining / Digital Humanities
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.


Job Description:

At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an

  • Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)

The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).

The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.

The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).

We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).

Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

Requirements:

  • Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
  • Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
  • Very good English language skills (written and spoken) and at least basic knowledge of German;
  • Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;

Experience in automated language processing, text mining or digital humanities is preferred.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: scientific coordination and transfer in computer science, knowledge and language processing
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.

Job Description:

At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a

  • Research Scientist (two-year contract, full time, EG13 TV-H*)

for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.


The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013 at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education. The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.

The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.

The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web. We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.

A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)


Requirements:

- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain; - Very good English language skills (written and spoken) and at least basic skills in German; - Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate; - Experience in coordinating distributed software development and its Integration; - Experience in conceptualising and conducting events for scientists, users, and the public. - Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.

Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan

  • Employer: Institute of Information Science, Academia Sinica
  • Rank or Title: Assistant/Associate/Full Research Fellow
  • Specialty: Chinese Natural Language Processing and Knowledge Representation
  • Location: Taipei, Taiwan
  • Deadline: Open until filled
  • Date Posted: January 7, 2014
  • Contact email: recruit@iis.sinica.edu.tw

Job Description:

The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.

Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.

Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.

For additional information about IIS, please visit http://www.iis.sinica.edu.tw

Required Qualifications:

All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.

Fluency in Chinese is an advantage, but not required.

How to Apply:

All candidates should send detailed curriculum vitae, and at least three letters of recommendation to

Dr. Wen-Lian Hsu, Director

Institute of Information Science

Academia Sinica

Nankang 115, Taipei, Taiwan

TEL: 886-2-2788-3799ext.1804

FAX:886-2-2782-4814

E-mail: recruit@iis.sinica.edu.tw

Computational Postdoc position, Johns Hopkins University, Cognitive Science

  • Employer: Johns Hopkins University
  • Rank or Title: Postdoctoral Fellow
  • Specialty: Computational Linguistics/Cognitive Science
  • Location: Baltimore, MD, USA
  • Deadline: February 17, 2014 or until filled
  • Date Posted: January 7, 2014
  • Contact email: INSPIREpostdoc@jhu.edu

Brief Job Description:

Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.

The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.

Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics

Detailed Job Description:

The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.

The ideal appointee will conduct development and extensive testing of:

  • general-purpose software to support symbolic-level computation over gradient symbol structures
  • general-purpose software for simulating neural network implementations of this gradient symbolic computation
  • new machine-learning algorithms, including deep compositional networks
  • new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  • new psycholinguistic models of human syntactic production and comprehension processes

Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.

The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.

How to Apply:

Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.

Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.