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== Postdoctoral Fellow Machine Reading, KU Leuven, Belgium==
  
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Employer: Katholieke Universiteit Leuven, Belgium  http://www.kuleuven.be/
 +
* Rank or Title: Postdoctoral fellow
 +
* Specialty: Natural language processing and machine learning
 +
* Location: Leuven, Belgium
 +
* Deadline: July 5, 2013
 +
* Date Posted: June 9, 2013
 +
* Contact email: Sien.Moens@cs.kuleuven.be
 +
 +
Position
  
 +
Applications are invited for the position of a postdoctoral research fellow specialized in natural language processing and machine learning to join the Language Intelligence and Information Retrieval group of Prof. Marie-Francine Moens at the Department of Computer Science at KU Leuven, Belgium.
 +
The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The MUSE project introduces a new way of exploring and understanding information by “bringing text to life” through 3D interactive storytelling. Taking as input natural language text like children’s stories or medical patient education materials, MUSE will process the natural language, translate it into formal knowledge that represents the actions, actors, plots and surrounding world, and then render these as virtual 3D worlds in which the user can explore the text through interaction, re-enactment and guided game play. The focus of the postdoctoral research at KU Leuven will be on semi-supervised and unsupervised models for machine reading (MR) when translating the content of text to knowledge representations. A possible additional focus is on scalable inference and learning. The position ideally starts September 1, 2013. Funding for this position is currently available for 2 years.
  
== Postdoctoral Position in Natural Language Processing in Academia Sinica (Taipei, Taiwan) ==
+
Requirements
  
* Employer: Institute of Information Science, Academia Sinica
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Applicants have a PhD degree in computer science or related areas, and a strong background in NLP and machine learning.  Research experience is desirable in one or more of the following fields: information extraction, semi- and unsupervised parsing, graphical models, structured learning, language modeling, and related domains. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.
http://www.sinica.edu.tw
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http://www.iis.sinica.edu.tw
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Information
* PI: Lun-Wei Ku (Language Processing Group)
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http://www.iis.sinica.edu.tw/pages/lwku/index_en.html
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http://nlg18.csie.ntu.edu.tw:8080/lwku/lwku.html
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For more information contact Marie-Francine Moens, tel.: +3216325383, mail: sien.moens@cs.kuleuven.be.
 +
You can apply for the postdoctoral position by sending your CV and publication list to: sien.moens@cs.kuleuven.be.
  
* Rank or Title: Post Doctorial Researcher - Natural Language Processing
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== Research Scientist Positions, NLP and Speech ==
* Specialty: Computational Linguistics, Natural Language Processing, Information Retrieval, Machine Learning
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* Location: Taipei, Taiwan
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* Deadline: open until filled
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* Date Posted: August 21st, 2012
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* Start Date: before October, 2012 or after April, 2013
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* Duration: 1+1+1 years
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* Contact email: lwku@iis.sinica.edu.tw
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'''REQUIRED'''
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Employer: Educational Testing Service http://www.ets.org/
 
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* Rank or Title: Research Scientist
Ph.D. in computational linguistics / natural language processing or related areas.
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* Specialty: Natural Language Processing
 
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* Location: Princeton, NJ or San Francisco, CA
Natural language processing / computational linguistics background.
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* Deadline: Until position is filled
Substantial skills in programming and processing large scale corpora.
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* Date Posted: 22 May 2013
 
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* Contact email: dyanchuk@ets.org
Ideal: Java skills and standard statistical procedures.
+
 
+
'''SKILLS AND EXPERIENCE'''
+
 
   
 
   
3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies, sentiment analysis.
 
Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, SVMLight, Weka, and similar tools.
 
  
Ideal: with experience of interests in processing Asia language (ex. Chinese)
+
Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education, and government, we are determined to advance educational excellence for the communities we serve.
  
'''PAYMENT'''
 
 
Around 1900~2000 USD/Month, depends on the currency rate.
 
 
'''HOW TO APPLY'''
 
  
Apply to Lun-Wei Ku at: lwku@iis.sinica.edu.tw. Please provide your CV, publication list and contact information.  
+
ETS Research & Development has openings for Research Scientists at all levels in Natural Language Processing and Speech Group. The ongoing projects in this group focus on natural language processing for topics including automated evaluation of writing and speaking assessments. ETS aims to expand these current research directions, as well as pursuing groundbreaking research in new areas:
 +
* The incoporation of interactive tasks into assessment environments, using technologies for dialog management and analysis.
 +
* The automated induction of rhetorical structures from student responses, including argumentation strategies, narrative organization, and topical analyses.
 +
* Automated analysis of process data related to student performance on immersive assessment tasks (such as in a game-based environment).
  
Please also note the date you wish to start the job, and send your documents at your earliest convenience so we can review them asap.
 
  
 +
This is an excellent opportunity to be a part of a research and development team and have a significant impact on existing and next generation assessments.
  
  
== Two Postdoctoral Positions in Natural Language Processing at the Sapienza University of Rome ==
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'''PRIMARY RESPONSIBILITIES'''
* Employer: Sapienza University of Rome
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* Location: Rome, Italy
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* Deadline: open until filled
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* Date Posted: 16th August 2012
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* Starting date: fall/winter 2012
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* Duration: 1+1+1 years
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* Salary: 30000-45000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month).
+
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
+
  
Two positions of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing are open in the Department of Computer Science of the Sapienza University of Rome. The positions are part of a 5-year ERC Starting Grant funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidates will participate in a frontier research project on multilingual lexical semantics and will work in a stimulating environment of a leading and highly-active research team including 2 faculty members, 1 postdoc and 6 Ph.D. students.
 
  
'''REQUIREMENTS/QUALIFICATIONS'''
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• Pursue or collaborate in interdisciplinary projects, transferring techniques to a new context or connecting scientific fields that are usually separate. Successful candidates are self-motivated and self-driven, and have a strong interest in emerging technology that can contribute to education in assessment and instructional settings.
  
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
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• Provide scientific and technical skills to conceptualize, design, obtain support for, conduct, and manage new research projects, grants, or parts of existing projects.
* Strong publication record in Computational Linguistics/Natural Language Processing (see below).
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* Willingness to coordinate and supervise part of the research work of the ERC project.
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* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
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* Fluent English. Knowledge of Italian is NOT a requirement.
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* Solid programming skills: Java and practical expertise with standard NLP tools are required, knowledge of Perl/Python is a plus.
+
  
Experience in research project management is a plus.
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• Generate or contribute to new or modified methods that support research and development in the automated analysis of student responses as well as other written or spoken materials relevant in assessment and instructional settings.
  
'''SPECIFIC REQUIREMENTS'''
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• Design and conduct scientific studies, functioning as an expert in the major facets of the projects; respond as a subject matter expert in presenting the results of acquired knowledge and experience.  Consult and collaborate on problems arising from research and/or testing programs, or corporate management concerns.
  
* POSITION #1 (LCL1-2012): research record in computational lexical semantics, large-scale knowledge acquisition and validation, open information extraction, or data-intensive machine learning
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• Develop or assist in developing proposals for external and internal research grants and obtain financial support for new or continuing research activities.  Prepare initial and final proposal and project budgets.
* POSITION #2 (LCL2-2012): research record in statistical machine translation, unsupervised acquisition of bilingual/multilingual lexicons, or cross-lingual methods for NLP
+
  
'''HOW TO APPLY'''
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• Participate in dissemination activities through the publications of research papers in peer-reviewed journals and in the ETS Research Report series, the issuing of progress and technical reports, the presentation of seminars at major conferences and at ETS, or the use of other appropriate communication vehicles, including books and chapters, that impact practice in the field or at ETS.
  
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL1-2012 or LCL2-2012) in the subject line.
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• Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
  
'''ABOUT SAPIENZA'''
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• Consult on ETS projects or external contracts that related to the research focus of the group.
 +
  
The University of Rome "La Sapienza" is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at Sapienza. The Sapienza University is an equal opportunity employer.
+
'''Required Experience:'''
  
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
 
  
The [http://w3.uniroma1.it/dipinfo/english/index.asp Department of Computer Science] is a modern and well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated in a nice lively area with lots of cafes, bars, restaurants, and at walking distance from the city centre. Prominent candidates must not be afraid of the language barrier, as Italians are in general very friendly.
+
'''REQUIREMENTS FOR A JUNIOR LEVEL POSITION'''
  
== Staff Scientist and Postdoctoral Fellow Positions in Biomedical NLP and Data Mining ==
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A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member.
  
* Employer: Cincinnati Children's Hospital Medical Center
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'''REQUIREMENTS FOR A MID-LEVEL POSITION'''
* Job Title: Staff Scientist and Postdoctoral Fellow Positions
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* Location: Cincinnati, OH, USA
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* Deadline: Until filled
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* Date Posted: 8th August 2012
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* Link to website: https://research.cchmc.org/solti/open-positions
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* Contact email: Imre.Solti@cchmc.org
+
  
'''Cincinnati Children's Hospital Medical Center'''
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A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Three years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.
The Solti Lab at Cincinnati Children's Hospital Medical Center (CCHMC) is inviting candidates to apply to a Research Associate position. This is a permanent  staff scientist position. The lab is funded by multiple CCHMC and NIH grants to extract clinically relevant information from the electronic health record (including narrative text). We have clinical "Big Data" and our mission is to find medically relevant patterns in it.
+
  
The Research Associate, in collaboration with the PI, will lead the NIH funded clinical trial eligibility screening and the Cincinnati-Boston Children's collaborative pediatric eMERGE initiatives and patient safety and health care quality improvement research efforts. The Research Associate will help the postdoctoral fellows in data analysis and publishing the results.
+
'''REQUIREMENTS FOR A SENIOR-LEVEL POSITION'''
  
Qualified candidates for the Research Associate position have earned a PhD in biomedical informatics, bioinformatics, physics, computer science, artificial intelligence, computational linguistics or closely related field. Qualified candidates will arrive with multiple years of productive postdoctoral fellow experience and extensive publication records.
+
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Eight years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.
  
Research experience with Machine Learning, Natural Language Processing (NLP), and data mining are mandatory. Excellent command of both written and oral English, first author peer reviewed journal publications, strong programming skills and familiarity with Unix/Linux environment for programming are required. Java and Unix cluster computing experiences and familiarity with clinical NLP are preferred.
 
  
The Research Associate will collaborate with physicians, CCHMC research faculty, postdoctoral fellows, and programmers. Ours is a dynamic, fast paced research environment. In order to be successful, the Research Associate will have to enjoy leading and contributing to multiple research projects concurrently.
+
About the Center for Assessment Innovation: The NLP and Speech Group focuses on  automated scoring of text and speech, support for technologically-enhanced assessment methods, and the application of NLP and speech technology to educational problems generally. The group builds partnerships and collaborations with other institutions. External grants are pursued, and internally-funded fundamental research and capability development is also supported.
  
We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary. This is a permanent staff position.
 
  
Cincinnati Children's has over one million patient encounters a year and is the second largest recipient of NIH funding among children hospitals. The Division manages a state-of-the-art 500+ CPU computing cluster. The research of the Solti Lab is funded from institutional and external (NIH) grants.
+
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
  
Interested candidates should send their most recent CV, a brief career statement and three publications in PDF file format to: Imre.Solti@cchmc.org  Include "Research Associate" in the subject line.
+
== Research Assistant Positions, NLP ==
  
Imre Solti, MD, PhD, MA
+
Employer: Educational Testing Service http://www.ets.org/
Assistant Professor
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* Rank or Title: Research Assistant
Division of Biomedical Informatics &
+
* Specialty: Natural Language Processing
Anderson Center for Health Systems Excellence
+
Cincinnati Children's Hospital Medical Center
+
 
+
== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==
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+
'''Curata, Inc.'''
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Curata, Inc. provides easy-to-use marketing solutions for content curation and content marketing. Curata's product, Curata, allows marketers to easily find, organize and share content on specific issues or topics in order to establish thought leadership, own industry conversations and drive qualified web traffic. Curata was founded in 2007 and is headquartered in Cambridge, Massachusetts. For more information, visit www.curata.com.
+
 
+
'''Role Description'''
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We are looking for an individual who enjoys building and shipping code as an engineer, first and foremost, but also enjoys prototyping new product ideas leveraging natural language processing, information retrieval, and machine learning skills. You are a fit if you enjoy experimenting with a large text corpus, innovating new product concepts, and ultimately packaging and shipping your work.
+
 
+
In the past two years, our customer base, comprising of marketing, information services, and knowledge management professionals, have curated millions of pieces of content through our complex content procurement and processing pipeline. We release new code many times a day, and have fun continually optimizing and enhancing our product. As a start-up, we need someone who can match the high energy and enthusiasm of our team.
+
 
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Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.
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+
'''Responsibilities'''
+
 
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* Prototyping concepts and working with engineering team to see them through deployment.
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* Suggesting new product concepts.
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* Optimizing machine learning algorithms through iterative experimentation and parameter tuning.
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* Architect, build and maintain flexible and highly scalable web applications
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* Participate in the full engineering life cycle from design through implementation and deployment.
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* Think in terms of the end-user and design accordingly
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* Actively contribute to product design and feature selection discussions
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+
'''Preferred Skills and Experience'''
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* Significant research experience with natural language processing (NLP), information retrieval, machine learning or related fields.
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* Strong software development skills, preferably with web applications.
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* Versatile attitude towards technology -- ready and willing to learn and grow on the job.
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'''Location:''' Kendall Square, Cambridge, MA / Boston
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'''Type:''' Full-Time
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'''Contact:''' engmgt.jobs@curata.com
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== Research Fellowship at University of Aberdeen ==
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* Employer: University of Aberdeen
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* Job Title: Research Fellow in Natural Language Generation
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* Location: Aberdeen, UK
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* Deadline: 23rd July 2012
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* Date Posted: 11th July 2012
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* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664
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* Contact email: c.mellish@abdn.ac.uk
+
 
+
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to do research on natural language generation in the MIME project. MIME (see http://www.dotrural.ac.uk/mime/ ) investigates ways to underpin reconfigured rural emergency response services, by examining how technology could support responders to incidents such as road accidents. It is exploring the use of networked monitors to support decision making and information management in the management of casualties and the automatic generation of handover reports from responders when more expert help arrives.
+
The successful candidate will have a good knowledge of natural language processing techniques in general (at the postgraduate level) and preferably some practical experience with NLG. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering.
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This post is funded by the EPSRC and it is anticipated that the project activities will be completed within 9 months of the agreed start date. This appointment will be made subject to the usual terms and conditions of employment of the University.
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+
== Executive Director at University of Maryland ==
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+
** Employer:  University of Maryland, Center for Advanced Study of Language (CASL)
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** Title: Executive Director
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** Location:  College Park, MD
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** Deadline:  Open until filled
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** Date Posted:  July 2, 2012
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** Link to website:  http://jobs.umd.edu/applicants/Central?quickFind=57086
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** Contact email:  tswallst@umd.edu
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+
The University of Maryland, College Park, invites applications for the position of Executive Director of the Center for Advanced Study of Language (CASL). Since its establishment in 2003, CASL’s mission has been to conduct cutting-edge research that results in improved performance on foreign language and analysis tasks relevant to the work of government language professionals. Visit www.casl.umd.edu for more information about CASL.
+
 
+
'''DUTIES:'''  The Executive Director (ED) has leadership responsibility for research, operations, strategic planning, and compliance with university and government requirements and regulations associated with CASL’s designation as a University Affiliated Research Center (UARC). The ED’s duties include developing and implementing the US Government-approved research agenda; developing and managing external relations and outreach to academia, industry, and government for purposes of collaborative research and consultation; and overseeing relevant UARC-designated activities and outreach, collaboration, education, policy and evaluation. The ED ensures the hiring and retention of the best researchers and research managers in CASL’s core compentencies and other relevant disciplines as well as highly qualified financial, information technology, operations, logistics, and security support staff. In addition to aligning CASL’s strategic plan with its mission to meet the needs of clients, the ED provides leadership in identifying opportunities for partnering and collaborating with academic departments and other research centers on campus. The ED reports to the Vice President for Research and directly supervises the directors of CASL’s various units. 
+
 
+
'''QUALIFICATIONS:''' Candidates must have an advanced degree, preferably a Ph.D., in a discipline related to one of CASL’s core competencies (e.g., Less Commonly Taught Languages and Cultures; Second Language Acquisition; Computational Linguistics; Linguistics; Cognitive or Social Psychology; Cognitive Science or Cognitive Neuroscience), with a distinguished record of scholarly achievement and/or leadership in one or more areas relevant to the research foci of the center. Candidates' experience, research and publications should show evidence of ability to tackle complex, interdisciplinary research and to work collaboratively with a range of institutions and researchers. Experience working closely with US government and/or industry colleagues in non-academic settings is essential. Candidates must qualify for an academic appointment either as a tenured professor or as a professor of the practice in a department consistent with their background.
+
 
+
'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''
+
 
+
'''TO APPLY:''' For best consideration, applicants should submit a letter of application, CV, and contact information for three professional references online at http://jobs.umd.edu click on “Faculty” (or direct link:  http://www. jobs.umd.edu/applicants/Central?quickFind=57086)  by Monday, August 20, 2012.  Address questions to the search committee chair, Professor Thomas S. Wallsten, at tswallst@umd.edu
+
 
+
The University of Maryland, College Park, actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, or political affiliation. Minorities and women are encouraged to apply. The University of Maryland offers an excellent benefits package which includes:  health benefits, retirement plans, generous leave package, flexible spending accounts, tuition remission, and long-term, disability, and life insurance. Please visit the University’s web page at http://www.uhr.umd.edu/benefits/ to see a full list of benefits and the providers.
+
 
+
== Several Positions in Data2Text (Natural Language Generation) ==
+
 
+
* Employer: Data2Text
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* Job title: Natural Language Generation Engineer, Analytics Engineer, Lead Engineer
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* Specialty: natural language generation, analytics
+
* Location: Aberdeen, Scotland, UK
+
* Deadline: 29 June 2012
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* Date posted: 8 June 2012
+
* Link to website: http://www.data2text.com/careers
+
 
+
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
+
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
+
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)
+
 
+
== Associate Research Scientist (SPEECH) at Educational Testing Service ==
+
 
+
* Employer: Educational Testing Service (www.ets.org)
+
* Job Title: Associate Research Scientist (SPEECH)
+
 
* Location: Princeton, NJ  
 
* Location: Princeton, NJ  
* Deadline: Open until filled  
+
* Deadline: Until position is filled
* Date Posted: 16-May-2012
+
* Date Posted: 22 May 2013
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]
+
* Contact email: dyanchuk@ets.org
* Contact email: dyanchuk@ets.org  
+
  
'''JOB DESCRIPTION'''
 
  
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).
+
ETS Research & Development has an opening for a Research Assistant in the Natural Language Processing Group. A primary focus of the area is to contribute to externally-funded projects as well as provide service to the program areas of ETS, including new applications of automated scoring technologies. The successful candidate will contribute to internal projects aimed at developing assessment and automated scoring innovations. The successful candidate will also contribute to external projects aimed at developing methodologies to support natural language processing technologies.
  
  
 
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
'''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 speech technology, or portions of large-scale research studies or programs in the same field.
 
 
* 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.
+
'''Project Management/Leadership'''
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
Complete Linguistic annotations of text, develop and apply scoring schemes to short answer responses, assist research scientitsts in constructing models and documenting procedures.
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
Schedule services with other ETS departments, staff and vendors.
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.
  
+
Research Design, Data Collection and Analysis
'''EXPERIENCE AND SKILLS'''
+
  
EDUCATION
+
Assist in developing and refining research instruments.
  
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.
+
Assist in developing procedures for data collection. Edit and proof coding systems and manuals.
  
 +
Administer research instruments such as assessments, surveys, observations, and interviews.
  
EXPERIENCE
+
Instruct support staff on procedures for data collection, data entry and check work.
  
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).
+
Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.
  
 +
Perform basic data analyses; Compile simple results.
  
+
Prepare charts, tables, figures, and graphics for reports and presentations.
'''APPLYING'''
+
  
Interested parties can apply for the position through the following website:
 
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
'''Communication'''
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.
  
== Associate Research Scientist (NLP) at Educational Testing Service ==
+
Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.
  
* Employer: Educational Testing Service (www.ets.org)
+
Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.
* Job Title: Associate Research Scientist (NLP)
+
* Location: Princeton, NJ
+
* Deadline: Open until filled
+
* Date Posted: 16-May-2012
+
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]
+
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
+
Assist in developing presentations and present as part of a team.
  
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).
+
Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.
+
'''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.  
+
Experience in using data analyses software.
  
* 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.
+
'''Required Experience:'''
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
 
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
'''EDUCATION'''
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
A Bachelor's degree in linguistics or a closely related field, with coursework in statistics or research methods, phonetics & phonology, syntax & semantics, and/or language acquisition is necessary.
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
'''EXPERIENCE'''
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
Six months of research-related experience is necessary.
  
+
Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.
'''EXPERIENCE AND SKILLS'''
+
  
EDUCATION
 
  
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.
+
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
+
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.  
+
  
 
'''APPLYING'''
 
  
Interested parties can apply for the position through the following website:
 
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend
+
== Senior Research Scientist - Xerox Research Centre Europe ==
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
 +
* Rank or Title: Senior Research Scientist
 +
* Specialty: Statistical Natural Language Processing, Machine Learning
 +
* Location: Grenoble, France
 +
* Deadline: 31 July 2013 or until position is filled
 +
* Date Posted: 2 May 2013
 +
* Contact email: James.Henderson@xrce.xerox.com
  
== Associate Research Engineer at Educational Testing Service ==
+
'''Position Description'''
  
* Employer: Educational Testing Service (www.ets.org)  
+
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning for NLP. The ideal candidate would have experience or knowledge of parsing, information extraction, weak supervision, textual entailment, and combining machine learning with expert knowledge. Awareness of the healthcare domain is a plus. The applicant should have a strong publication record and good coding skills. The seniority of the appointment will depend on qualifications.
* 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'''
+
The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact.  Senior researchers are expected to also lead research projects.  We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals.  We also have multiple open innovation collaborations with academic partners world-wide.
  
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).
+
The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis.  The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information, including facts and opinions.  The solutions we develop play a key role in Xerox's next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.
  
+
XRCE is located in Grenoble, France, in the heart of the French Alps.  Grenoble offers an excellent quality of life and a large scientific community.  For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Senior-Research-Scientist-in-Statistical-Natural-Language-Processing.
'''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.
+
'''Requirements'''
  
* 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.
+
* PhD in Computer Science or Computational Linguistics
 +
* NLP knowledge and experience
 +
* Machine learning knowledge or experience
 +
* Strong publication record
 +
* Programming skills
 +
* Strong written and oral communications skills in English
  
* 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.
+
'''Application instructions '''
  
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
+
Applications will be considered as they are received.  To ensure that an application receives full consideration it should be submitted by '''July 31, 2013'''. Applications will be considered beyond this date until the position is filled.
  
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
+
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.  
  
* Implement components of technical documentation of NLP software systems, solutions and results.
+
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.  
  
* Attend area-wide staff training and development sessions.
 
 
'''EXPERIENCE AND SKILLS'''
 
  
EDUCATION
+
== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==
  
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
+
* Employer: Qatar Computing Research Institute (http://www.qcri.qa)
+
* Rank or Title: Intern/Research associate/Research assistant
EXPERIENCE
+
* Specialty: Information retrieval, text mining, natural language processing
 +
* Location: Doha, Qatar
 +
* Deadline: May 31, 2013
 +
* Date Posted: March 15, 2013
 +
* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa
  
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.
+
'''POSITION DESCRIPTION'''
  
OTHER REQUIREMENTS
+
The NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.
* Knowledge of UNIX and Windows computing environments.
+
  
* Familiarity with UNIX tools and scripting languages.
+
'''INTERNSHIP TASKS INCLUDE'''
 +
* Development of effective techniques for information filtering from social media
 +
* Diversity analysis, categorization, and summarization of search results
 +
* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search
 +
* Web design/development of visualization schemes for social search results
 +
* Conducting project-related research work supervised by scientists in the team
  
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.
+
'''EXPECTED APPLICANTS SHOULD BE/HAVE'''
 +
* PhD/Master students in computer science or related field
 +
* At least 1-year research experience
 +
* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.
 +
* Background in social network analysis and/or natural language processing is a plus
 +
* Basic knowledge of Arabic language can help but is not mandatory
 +
* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)
  
* Excellent verbal and written communication skills.
+
'''INTERNSHIP NATURE'''
  
+
Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents.
'''APPLYING'''
+
  
Interested parties can apply for the position through the following website:
+
Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend
+
'''ABOUT QCRI'''
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.
  
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
+
QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.
  
* Employer: Austrian Research Institute for Artificial Intelligence
+
'''APPLICATION'''
* Group: Language Technology
+
* Title: Junior Researcher
+
* Requirements:
+
** Permission to work within the European union
+
** Excellent English language skills; knowledge of the German language is a plus
+
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)
+
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)
+
** Programming skills in C++, Perl and/or Java
+
** 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".  
+
Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now
  
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.
+
For more information, please visit:
 +
http://www.qcri.qa
 +
http://qcri.qa/our-research/arabic-language-technologies
  
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.
 
  
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
+
== Postdoctoral fellow -- KU Leuven ==
  
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).
+
* Employer: Department of Computer Science, KU Leuven, Belgium
 +
* Rank or Title: Postdoctoral fellow
 +
* Specialty: Information extraction, natural language understanding, machine reading
 +
* Location: Leuven, Belgium
 +
* Deadline: Until position fills
 +
* Date Posted: April 13, 2013
 +
* Contact email: Sien.Moens@cs.kuleuven.be
  
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.
+
'''Position description'''
 +
The Language Intelligence and Information Retrieval group, which is part of the Department of Computer Science at KU Leuven (http://www.cs.kuleuven.be/groups/liir/), has an open postdoctoral position for a motivated researcher with interest and expertise in information extraction from text. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and can show his or her expertise through several publications in major conferences or journals in the fields of computational linguistics, machine learning and/or artificial intelligence.
 +
The position will be for two years starting in the Summer of 2013 or earlier. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.  
  
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.
+
'''Application instructions '''
  
 +
Please send your application to Marie-Francine Moens (Sien.Moens@cs.kuleuven.be).
  
== Junior Research Group Leaders at Saarland University ==
 
  
* Employer: Saarland University, Germany
+
'''Other considerations'''
* 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.
+
Situated in the heart of Western Europe, KU Leuven has been a centre of learning for almost six centuries. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied research. It is strongly inter- and multidisciplinary in focus and strives for international excellence. To this end, KU Leuven works together actively with its research partners at home and abroad.
  
Deadline for applications is April 30th, 2012.
+
== Post-doctoral fellows -- University of Alberta ==
  
For the complete announcement see:
+
* Employer: Department of Computing Science, University of Alberta
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
+
* Rank or Title: Post-doctoral fellow
 +
* Specialty: Information Extraction
 +
* Location: Edmonton, AB, Canada
 +
* Deadline: March 15 2013, but applications are accepted until positions are filled
 +
* Date Posted: 26 February 2013
 +
* Contact email: denilson@ualberta.ca
  
 +
'''Position Description'''
  
Additional information on the excellence cluster is available on
+
The Department of Computing Science at the University of Alberta is seeking applicants for post-doctoral fellows to work on a project related to information extraction. The ideal candidates are recent PhDs in Computer Science with strong background in information retrieval, linked open data, natural language processing, and information extraction from the web. Other areas where expertise is desirable include graph data management, network analysis, data analytics, and the semantic web.
http://www.mmci.uni-saarland.de/
+
  
 +
The projects will be conducted in the context of the NSERC Business Intelligence Network (http://bin.cs.utoronto.ca/), a collaborative research initiative involving several top Canadian Universities and key industrial partners IBM Canada, SAP Canada, and Palomino System Innovations Inc.
  
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. 
+
The fellows will work under the supervision of PI Denilson Barbosa, within a team of PhD and MSc students, and build on ongoing work in information extraction with applications in business and environmental data. These positions will require the development of practical prototypes and proof-of-concept systems, as well as dissemination of research results in top venues. As such, emphasis should be given on the application materials to hands-on experience with large-scale datasets.
  
== Scientist Position in Statistical Machine Translation at Microsoft ==
+
Qualified candidates must hold a PhD at the time of appointment. The stipend will be in accordance with NSERC standards (CAD$ 40,000 plus benefits), with the possibility of a 10-20% top-up depending on qualifications.
  
* Employer: MICROSOFT
+
'''Application instructions '''
* Division: Online Services Division
+
* 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
+
To apply, send an updated CV, cover letter, and the names and official contact information (university or company email and phone number) of three references to Denilson Barbosa <denilson@ualberta.ca>.
+
Research and Development Opportunities for Next Generation Technology at Microsoft
+
+
Do you want to impact billions of people all over the world with speech technology that you create?
+
  
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,  
+
Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.
weighted finite state transducers, natural language processing and machine learning will be preferred.
+
+
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.
+
'''Other Considerations'''
  
 +
The University of Alberta, one of Canada's largest research universities is situated in Edmonton, a metropolitan area of over one million people with a vibrant research community and an excellent standard of living. The Department of Computing Science at the University of Alberta is widely recognized as a leading CS department, both within Canada and worldwide.
  
 +
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
  
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==
+
The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.
  
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley
 
* 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
+
== Research Scientist - Xerox Research Centre Europe ==
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
+
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
Campus. The start date is negotiable, but the position will be available
+
* Rank or Title: Research Scientist
on May 1, 2012, and the project has funding for another two years.
+
* Specialty: Statistical Natural Language Processing
Interested parties should send their curriculum vitae, along with
+
* Location: Grenoble, France
the contact details for two or more references, to Pat Langley
+
* Deadline: Applications accepted until position is filled
<patrick.w.langley@gmail.com>.
+
* Date Posted: 14 February 2013
 +
* Contact email: James.Henderson@xrce.xerox.com
  
 +
'''Position Description'''
  
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==
+
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning and/or information extraction (e.g. event extraction).  The ideal candidate would also have experience or knowledge of textual entailment, knowledge representation, and combining machine learning with expert knowledge.  The applicant should have good coding skills (e.g. Java programming), with the ability to develop research prototypes and pilots.
  
* Employer: Illinois Institute of Technology
+
The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.  
* Title: Postdoc
+
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor
+
* Location: Chicago, IL
+
* Deadline: As soon as possible
+
* Date Posted: March 13, 2012
+
* 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.
+
The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems.  Our general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services.  
  
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.
+
See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities
  
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.
+
'''Requirements'''
  
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.  
+
* PhD in Computer Science or Computational Linguistics
 +
* NLP knowledge and experience
 +
* Knowledge or experience in machine learning or information extraction
 +
* Object oriented programming skills (e.g. java)
 +
* Strong written and oral communications skills in English
  
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.
+
'''Application instructions '''
  
Review of applications will begin immediately and continue until the position is filled.
+
The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled.  
  
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==
+
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
 +
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.
  
* Employer: Google
 
* 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
+
== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==
within the RENDER project is available at the Google Switzerland R&D
+
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
+
* Employer: CNGL, Dublin City University http://www.cngl.ie
possibility of renewing for a second year. This position will allow
+
* Rank or Title: PhD, Post-Doc and Research Programmer
the candidate to perform research on several NLP-related areas,
+
* Specialty:  Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics
to interact with the consortium partners and with other Google-internal
+
* Location: Dublin, Ireland
research and development projects, and to apply the results of the
+
* Deadline: February 25, 2013
research to real applications with a potentially large impact.
+
* Date Posted: January 30, 2013
 +
* Start Date: March, 2013
 +
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
 +
* Contact email: dgroves@computing.dcu.ie
  
Requirements:
+
'''For More Details'''
* 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:
+
http://www.cngl.ie/vacancies.html
* 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
+
'''Position Description'''
Alfonseca (ealfonseca@google.com) including a paragraph on why you
+
think you are a right person for the role, and a brief CV.
+
  
== 4 PhD positions in spoken dialogue systems research ==
+
CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.
  
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague
+
CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize.  
* 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.
+
CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.
  
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 successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.
  
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.
+
DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.
  
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.
+
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.
+
  
 +
'''PhD Studentships'''
  
== PhD-position in sentiment mining and reputation analysis==
+
*Parsing, Analytics and Information Extraction:
 +
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.
 +
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.
 +
*Information Retrieval:
 +
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications
 +
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources
 +
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis  
 +
**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content
 +
*Machine Translation:
 +
**Syntax- and Semantics-Enhanced Machine Learning Based MT
 +
**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
 +
**Human interaction with MT output: Usability, Acceptability, Post-editing Research
 +
**MT and Multimodal Interaction
 +
**MT for Multimodal Cross Language Information Retrieval
  
* Employer: Erasmus University Rotterdam
+
'''Post-Doctoral Positions'''
* Job title: PhD-student
+
* Specialty: text mining, sentiment analysis, topic detection, reputation management
+
* Location: Rottterdam, The Netherlands 
+
* Deadline: 1 March 2012
+
* Date posted: 6 February 2012
+
* 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.
+
*Parsing, Analytics and Information Extraction:
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.
+
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
 +
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
 +
*Machine Translation:
 +
**User/Human Centric MT (up to 2.5 year contract)
  
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
+
'''Post-Doctoral Positions'''
  
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
+
*Research Programmer (up to 2.5 year contract)
  
== PhD-position in folktale classification and clustering ==
+
For more information please see: http://www.cngl.ie/vacancies.html
* 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.
 
  
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.
+
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
  
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
+
* Employer: Nara Insititute of Science and Technology
 +
http://www.naist.jp/en/
 +
* Rank or Title: Assistant Professor
 +
* Specialty:  Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
 +
* Location: Nara, Japan
 +
* Deadline: February 28, 2013
 +
* Date Posted: January 30, 2013
 +
* Start Date: after April, 2013
 +
* Duration: 5 years (reappointment is possible)
 +
* Contact email: matsu@is.naist.jp
  
==Research Associate Position at Educational Testing Service==
+
'''For Detailed Description'''
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
+
* Job Title: Research Associate
+
* Location: Princeton, NJ
+
* Deadline: Open until filled
+
* Date Posted: 28-Jan-2012
+
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
+
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
+
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
  
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.
 
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
==Researchers - AT&T Labs Research==
  
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
+
* Employer: AT&T Labs - Research
 
+
* Rank or Title: Researchers and Research Software Engineers
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
+
* Specialty: Natural Language Processing, Speech Processing, Machine Learning
 
+
* Location: NJ
* Plan and manage annotations for a variety of projects.
+
 
+
* 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.
+
 
+
* 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.
+
 
+
* 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.
+
 
+
* 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.
+
 
+
* 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.
+
 
+
* Arrange and attend conferences and meetings; present research findings at professional meetings.
+
 
+
'''EXPERIENCE AND SKILLS'''
+
 
+
EDUCATION
+
 
+
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
+
 
+
EXPERIENCE
+
 
+
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
+
 
+
Interested parties can apply for the position through the following website:
+
 
+
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
+
 
+
If there are any questions, please contact:
+
 
+
Dave Yanchuk
+
(609) 406-5291
+
dyanchuk@ets.org
+
 
+
 
+
==Postdoc Position at HRL Laboratories==
+
* 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.
+
For job considerations, please send your cover letter and CV to hmoon@hrl.com.
+
 
+
Job Description:
+
 
+
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
+
 
+
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.
+
 
+
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.
+
 
+
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.
+
 
+
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.
+
 
+
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.
+
 
+
==Postdoc or Research Associate - Natural Language Processing==
+
* Employer: IHMC (www.ihmc.us)
+
* Rank or Title: Research Associate - Natural Language Processing
+
* Specialty: Computational Linguistics, Natural Language Processing
+
* Location: Ocala, FL
+
 
* Deadline: Applications accepted until position is filled
 
* Deadline: Applications accepted until position is filled
* Date Posted: January 3rd, 2012
+
* Date Posted: 8 January 2013
* Contact email ywilks@ihmc.us
+
* Contact email: vkumar@research.att.com
 
+
'''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.
+
+
Required:
+
 
+
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
+
 
+
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
+
 
+
▪ Ph.D. in computational linguistics / natural language processing or related areas.
+
 
+
Skills and Experience:
+
 
+
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
 
+
▪ 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.
+
 
+
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+
 
+
Apply to Yorick Wilks at: ywilks@ihmc.us
+
 
+
 
+
 
+
+
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
+
* Employer: Queens College of the City University of New York
+
* Location: New York, NY
+
* Deadline: Review of applications to begin on March 1, 2012
+
* Website: http://www.cs.qc.cuny.edu/
+
* Date posted: January 4, 2012
+
 
+
'''Visiting Assistant/Associate/Full Professor'''
+
 
+
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.
+
 
+
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 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/
+
 
+
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.
+
  
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
'''Position Description'''
  
Dr. Matt Huenerfauth, Search Committee Chair
+
AT&T Research, one of the premier industrial research laboratories in the world, is looking for
 +
talented individuals to make a difference in the world of communications. Our researchers and
 +
research software engineers are dedicated to solving real problems in speech and language
 +
processing, and are involved in inventing, creating and deploying innovative services. We also
 +
explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at
 +
all levels of experience are encouraged to apply.  Candidates must demonstrate excellence in
 +
research, a collaborative spirit and strong communication and software skills.
  
Department of Computer Science
+
Areas of particular interest are
  
Queens College-CUNY
+
    * Large-vocabulary automatic speech recognition
 +
    * Acoustic and language modeling
 +
    * Robust speech recognition
 +
    * Signal processing
 +
    * Text-to-speech synthesis
 +
    * Natural language understanding and dialog
 +
    * Machine translation (speech and text)
 +
    * Speaker biometrics
 +
    * Voice and multimodal search
 +
    * Software engineering for speech and language processing
  
65-30 Kissena Blvd.  
+
Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).
  
Flushing, New York 11365-1597
+
Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates
 +
are encouraged to apply.  Interviews will be conducted in early 2013.  For more information,
 +
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:
  
matthew.huenerfauth (at) qc.cuny.edu
+
http://www.research.att.com/evergreen/working_with_us/careers.html
  
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.
+
Candidates must demonstrate a proven research track record and the ability to identify technical
 +
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
 +
are desired. Access to massive amounts of real-world data, the ability to work with internal and external
 +
collaborators across departments, the possibility of making an impact by developing solutions that will be used
 +
by millions, and the freedom to publish your results are some of the reasons AT&T Labs -
 +
Research is an exciting place to work.  
  
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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AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.

Revision as of 01:16, 9 June 2013

Postdoctoral Fellow Machine Reading, KU Leuven, Belgium

Employer: Katholieke Universiteit Leuven, Belgium http://www.kuleuven.be/

  • Rank or Title: Postdoctoral fellow
  • Specialty: Natural language processing and machine learning
  • Location: Leuven, Belgium
  • Deadline: July 5, 2013
  • Date Posted: June 9, 2013
  • Contact email: Sien.Moens@cs.kuleuven.be

Position

Applications are invited for the position of a postdoctoral research fellow specialized in natural language processing and machine learning to join the Language Intelligence and Information Retrieval group of Prof. Marie-Francine Moens at the Department of Computer Science at KU Leuven, Belgium. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The MUSE project introduces a new way of exploring and understanding information by “bringing text to life” through 3D interactive storytelling. Taking as input natural language text like children’s stories or medical patient education materials, MUSE will process the natural language, translate it into formal knowledge that represents the actions, actors, plots and surrounding world, and then render these as virtual 3D worlds in which the user can explore the text through interaction, re-enactment and guided game play. The focus of the postdoctoral research at KU Leuven will be on semi-supervised and unsupervised models for machine reading (MR) when translating the content of text to knowledge representations. A possible additional focus is on scalable inference and learning. The position ideally starts September 1, 2013. Funding for this position is currently available for 2 years.

Requirements

Applicants have a PhD degree in computer science or related areas, and a strong background in NLP and machine learning. Research experience is desirable in one or more of the following fields: information extraction, semi- and unsupervised parsing, graphical models, structured learning, language modeling, and related domains. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.

Information

For more information contact Marie-Francine Moens, tel.: +3216325383, mail: sien.moens@cs.kuleuven.be. You can apply for the postdoctoral position by sending your CV and publication list to: sien.moens@cs.kuleuven.be.

Research Scientist Positions, NLP and Speech

Employer: Educational Testing Service http://www.ets.org/

  • Rank or Title: Research Scientist
  • Specialty: Natural Language Processing
  • Location: Princeton, NJ or San Francisco, CA
  • Deadline: Until position is filled
  • Date Posted: 22 May 2013
  • Contact email: dyanchuk@ets.org


Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education, and government, we are determined to advance educational excellence for the communities we serve.


ETS Research & Development has openings for Research Scientists at all levels in Natural Language Processing and Speech Group. The ongoing projects in this group focus on natural language processing for topics including automated evaluation of writing and speaking assessments. ETS aims to expand these current research directions, as well as pursuing groundbreaking research in new areas:

  • The incoporation of interactive tasks into assessment environments, using technologies for dialog management and analysis.
  • The automated induction of rhetorical structures from student responses, including argumentation strategies, narrative organization, and topical analyses.
  • Automated analysis of process data related to student performance on immersive assessment tasks (such as in a game-based environment).


This is an excellent opportunity to be a part of a research and development team and have a significant impact on existing and next generation assessments.


PRIMARY RESPONSIBILITIES


• Pursue or collaborate in interdisciplinary projects, transferring techniques to a new context or connecting scientific fields that are usually separate. Successful candidates are self-motivated and self-driven, and have a strong interest in emerging technology that can contribute to education in assessment and instructional settings.

• Provide scientific and technical skills to conceptualize, design, obtain support for, conduct, and manage new research projects, grants, or parts of existing projects.

• Generate or contribute to new or modified methods that support research and development in the automated analysis of student responses as well as other written or spoken materials relevant in assessment and instructional settings.

• Design and conduct scientific studies, functioning as an expert in the major facets of the projects; respond as a subject matter expert in presenting the results of acquired knowledge and experience. Consult and collaborate on problems arising from research and/or testing programs, or corporate management concerns.

• Develop or assist in developing proposals for external and internal research grants and obtain financial support for new or continuing research activities. Prepare initial and final proposal and project budgets.

• Participate in dissemination activities through the publications of research papers in peer-reviewed journals and in the ETS Research Report series, the issuing of progress and technical reports, the presentation of seminars at major conferences and at ETS, or the use of other appropriate communication vehicles, including books and chapters, that impact practice in the field or at ETS.

• Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.

• Consult on ETS projects or external contracts that related to the research focus of the group.


Required Experience:


REQUIREMENTS FOR A JUNIOR LEVEL POSITION

A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member.

REQUIREMENTS FOR A MID-LEVEL POSITION

A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Three years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.

REQUIREMENTS FOR A SENIOR-LEVEL POSITION

A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Eight years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.


About the Center for Assessment Innovation: The NLP and Speech Group focuses on automated scoring of text and speech, support for technologically-enhanced assessment methods, and the application of NLP and speech technology to educational problems generally. The group builds partnerships and collaborations with other institutions. External grants are pursued, and internally-funded fundamental research and capability development is also supported.


ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.

Research Assistant Positions, NLP

Employer: Educational Testing Service http://www.ets.org/

  • Rank or Title: Research Assistant
  • Specialty: Natural Language Processing
  • Location: Princeton, NJ
  • Deadline: Until position is filled
  • Date Posted: 22 May 2013
  • Contact email: dyanchuk@ets.org


ETS Research & Development has an opening for a Research Assistant in the Natural Language Processing Group. A primary focus of the area is to contribute to externally-funded projects as well as provide service to the program areas of ETS, including new applications of automated scoring technologies. The successful candidate will contribute to internal projects aimed at developing assessment and automated scoring innovations. The successful candidate will also contribute to external projects aimed at developing methodologies to support natural language processing technologies.


BASIC FUNCTIONS AND RESPONSIBILITIES


Project Management/Leadership

Complete Linguistic annotations of text, develop and apply scoring schemes to short answer responses, assist research scientitsts in constructing models and documenting procedures.

Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).

Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.

Schedule services with other ETS departments, staff and vendors.

Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.

Research Design, Data Collection and Analysis

Assist in developing and refining research instruments.

Assist in developing procedures for data collection. Edit and proof coding systems and manuals.

Administer research instruments such as assessments, surveys, observations, and interviews.

Instruct support staff on procedures for data collection, data entry and check work.

Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.

Perform basic data analyses; Compile simple results.

Prepare charts, tables, figures, and graphics for reports and presentations.


Communication

Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.

Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.

Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.

Assist in developing presentations and present as part of a team.

Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.

Experience in using data analyses software.


Required Experience:


EDUCATION

A Bachelor's degree in linguistics or a closely related field, with coursework in statistics or research methods, phonetics & phonology, syntax & semantics, and/or language acquisition is necessary.

EXPERIENCE

Six months of research-related experience is necessary.

Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.


ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.


Senior Research Scientist - Xerox Research Centre Europe

  • Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
  • Rank or Title: Senior Research Scientist
  • Specialty: Statistical Natural Language Processing, Machine Learning
  • Location: Grenoble, France
  • Deadline: 31 July 2013 or until position is filled
  • Date Posted: 2 May 2013
  • Contact email: James.Henderson@xrce.xerox.com

Position Description

The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning for NLP. The ideal candidate would have experience or knowledge of parsing, information extraction, weak supervision, textual entailment, and combining machine learning with expert knowledge. Awareness of the healthcare domain is a plus. The applicant should have a strong publication record and good coding skills. The seniority of the appointment will depend on qualifications.

The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact. Senior researchers are expected to also lead research projects. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.

The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information, including facts and opinions. The solutions we develop play a key role in Xerox's next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.

XRCE is located in Grenoble, France, in the heart of the French Alps. Grenoble offers an excellent quality of life and a large scientific community. For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Senior-Research-Scientist-in-Statistical-Natural-Language-Processing.

Requirements

  • PhD in Computer Science or Computational Linguistics
  • NLP knowledge and experience
  • Machine learning knowledge or experience
  • Strong publication record
  • Programming skills
  • Strong written and oral communications skills in English

Application instructions

Applications will be considered as they are received. To ensure that an application receives full consideration it should be submitted by July 31, 2013. Applications will be considered beyond this date until the position is filled.

Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.

To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.


Internship Opportunities in Qatar Computing Research Institute (QCRI)

  • Employer: Qatar Computing Research Institute (http://www.qcri.qa)
  • Rank or Title: Intern/Research associate/Research assistant
  • Specialty: Information retrieval, text mining, natural language processing
  • Location: Doha, Qatar
  • Deadline: May 31, 2013
  • Date Posted: March 15, 2013
  • Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa

POSITION DESCRIPTION

The NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.

INTERNSHIP TASKS INCLUDE

  • Development of effective techniques for information filtering from social media
  • Diversity analysis, categorization, and summarization of search results
  • Development of effective techniques for processing the social Arabic/English language for real-time indexing and search
  • Web design/development of visualization schemes for social search results
  • Conducting project-related research work supervised by scientists in the team

EXPECTED APPLICANTS SHOULD BE/HAVE

  • PhD/Master students in computer science or related field
  • At least 1-year research experience
  • Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.
  • Background in social network analysis and/or natural language processing is a plus
  • Basic knowledge of Arabic language can help but is not mandatory
  • Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)

INTERNSHIP NATURE

Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents.

Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.

ABOUT QCRI

Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.

QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.

APPLICATION

Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now

For more information, please visit: http://www.qcri.qa http://qcri.qa/our-research/arabic-language-technologies


Postdoctoral fellow -- KU Leuven

  • Employer: Department of Computer Science, KU Leuven, Belgium
  • Rank or Title: Postdoctoral fellow
  • Specialty: Information extraction, natural language understanding, machine reading
  • Location: Leuven, Belgium
  • Deadline: Until position fills
  • Date Posted: April 13, 2013
  • Contact email: Sien.Moens@cs.kuleuven.be

Position description The Language Intelligence and Information Retrieval group, which is part of the Department of Computer Science at KU Leuven (http://www.cs.kuleuven.be/groups/liir/), has an open postdoctoral position for a motivated researcher with interest and expertise in information extraction from text. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and can show his or her expertise through several publications in major conferences or journals in the fields of computational linguistics, machine learning and/or artificial intelligence. The position will be for two years starting in the Summer of 2013 or earlier. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.

Application instructions

Please send your application to Marie-Francine Moens (Sien.Moens@cs.kuleuven.be).


Other considerations

Situated in the heart of Western Europe, KU Leuven has been a centre of learning for almost six centuries. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied research. It is strongly inter- and multidisciplinary in focus and strives for international excellence. To this end, KU Leuven works together actively with its research partners at home and abroad.

Post-doctoral fellows -- University of Alberta

  • Employer: Department of Computing Science, University of Alberta
  • Rank or Title: Post-doctoral fellow
  • Specialty: Information Extraction
  • Location: Edmonton, AB, Canada
  • Deadline: March 15 2013, but applications are accepted until positions are filled
  • Date Posted: 26 February 2013
  • Contact email: denilson@ualberta.ca

Position Description

The Department of Computing Science at the University of Alberta is seeking applicants for post-doctoral fellows to work on a project related to information extraction. The ideal candidates are recent PhDs in Computer Science with strong background in information retrieval, linked open data, natural language processing, and information extraction from the web. Other areas where expertise is desirable include graph data management, network analysis, data analytics, and the semantic web.

The projects will be conducted in the context of the NSERC Business Intelligence Network (http://bin.cs.utoronto.ca/), a collaborative research initiative involving several top Canadian Universities and key industrial partners IBM Canada, SAP Canada, and Palomino System Innovations Inc.

The fellows will work under the supervision of PI Denilson Barbosa, within a team of PhD and MSc students, and build on ongoing work in information extraction with applications in business and environmental data. These positions will require the development of practical prototypes and proof-of-concept systems, as well as dissemination of research results in top venues. As such, emphasis should be given on the application materials to hands-on experience with large-scale datasets.

Qualified candidates must hold a PhD at the time of appointment. The stipend will be in accordance with NSERC standards (CAD$ 40,000 plus benefits), with the possibility of a 10-20% top-up depending on qualifications.

Application instructions

To apply, send an updated CV, cover letter, and the names and official contact information (university or company email and phone number) of three references to Denilson Barbosa <denilson@ualberta.ca>.

Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.

Other Considerations

The University of Alberta, one of Canada's largest research universities is situated in Edmonton, a metropolitan area of over one million people with a vibrant research community and an excellent standard of living. The Department of Computing Science at the University of Alberta is widely recognized as a leading CS department, both within Canada and worldwide.

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

The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.


Research Scientist - Xerox Research Centre Europe

  • Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
  • Rank or Title: Research Scientist
  • Specialty: Statistical Natural Language Processing
  • Location: Grenoble, France
  • Deadline: Applications accepted until position is filled
  • Date Posted: 14 February 2013
  • Contact email: James.Henderson@xrce.xerox.com

Position Description

The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning and/or information extraction (e.g. event extraction). The ideal candidate would also have experience or knowledge of textual entailment, knowledge representation, and combining machine learning with expert knowledge. The applicant should have good coding skills (e.g. Java programming), with the ability to develop research prototypes and pilots.

The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.

The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services.

See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities

Requirements

* PhD in Computer Science or Computational Linguistics
* NLP knowledge and experience
* Knowledge or experience in machine learning or information extraction
* Object oriented programming skills (e.g. java)
* Strong written and oral communications skills in English

Application instructions

The application deadline is March 1, 2013, but applications will be considered beyond this date until the position is filled.

Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com. To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.


15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU

  • Employer: CNGL, Dublin City University http://www.cngl.ie
  • Rank or Title: PhD, Post-Doc and Research Programmer
  • Specialty: Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics
  • Location: Dublin, Ireland
  • Deadline: February 25, 2013
  • Date Posted: January 30, 2013
  • Start Date: March, 2013
  • Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
  • Contact email: dgroves@computing.dcu.ie

For More Details

http://www.cngl.ie/vacancies.html

Position Description

CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.

CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize.

CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.

The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.

DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.

The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.

PhD Studentships

  • Parsing, Analytics and Information Extraction:
    • Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.
    • Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.
  • Information Retrieval:
    • Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications
    • Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources
    • Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis
    • Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content
  • Machine Translation:
    • Syntax- and Semantics-Enhanced Machine Learning Based MT
    • Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
    • Human interaction with MT output: Usability, Acceptability, Post-editing Research
    • MT and Multimodal Interaction
    • MT for Multimodal Cross Language Information Retrieval

Post-Doctoral Positions

  • Parsing, Analytics and Information Extraction:
    • Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
    • Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
  • Machine Translation:
    • User/Human Centric MT (up to 2.5 year contract)

Post-Doctoral Positions

  • Research Programmer (up to 2.5 year contract)

For more information please see: http://www.cngl.ie/vacancies.html


Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan)

  • Employer: Nara Insititute of Science and Technology

http://www.naist.jp/en/

  • Rank or Title: Assistant Professor
  • Specialty: Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
  • Location: Nara, Japan
  • Deadline: February 28, 2013
  • Date Posted: January 30, 2013
  • Start Date: after April, 2013
  • Duration: 5 years (reappointment is possible)
  • Contact email: matsu@is.naist.jp

For Detailed Description

http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html


Researchers - AT&T Labs Research

  • Employer: AT&T Labs - Research
  • Rank or Title: Researchers and Research Software Engineers
  • Specialty: Natural Language Processing, Speech Processing, Machine Learning
  • Location: NJ
  • Deadline: Applications accepted until position is filled
  • Date Posted: 8 January 2013
  • Contact email: vkumar@research.att.com

Position Description

AT&T Research, one of the premier industrial research laboratories in the world, is looking for talented individuals to make a difference in the world of communications. Our researchers and research software engineers are dedicated to solving real problems in speech and language processing, and are involved in inventing, creating and deploying innovative services. We also explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at all levels of experience are encouraged to apply. Candidates must demonstrate excellence in research, a collaborative spirit and strong communication and software skills.

Areas of particular interest are

   * Large-vocabulary automatic speech recognition
   * Acoustic and language modeling
   * Robust speech recognition
   * Signal processing
   * Text-to-speech synthesis
   * Natural language understanding and dialog
   * Machine translation (speech and text)
   * Speaker biometrics
   * Voice and multimodal search
   * Software engineering for speech and language processing

Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).

Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates are encouraged to apply. Interviews will be conducted in early 2013. For more information, visit http://www.research.att.com/ and click on "Working with us", or access the page directly:

http://www.research.att.com/evergreen/working_with_us/careers.html

Candidates must demonstrate a proven research track record and the ability to identify technical problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++) are desired. Access to massive amounts of real-world data, the ability to work with internal and external collaborators across departments, the possibility of making an impact by developing solutions that will be used by millions, and the freedom to publish your results are some of the reasons AT&T Labs - Research is an exciting place to work.

AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.