Difference between revisions of "Employment opportunities, postdoctoral positions, summer jobs"

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* '''[[Instructions for Posting Job Ads]]'''
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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== Postdoctoral Fellow Machine Reading, KU Leuven, Belgium==
  
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Employer: Katholieke Universiteit Leuven, Belgium  http://www.kuleuven.be/
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* Rank or Title: Postdoctoral fellow
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* Specialty: Natural language processing and machine learning
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* Location: Leuven, Belgium
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* Deadline: July 5, 2013
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* Date Posted: June 9, 2013
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* Contact email: Sien.Moens@cs.kuleuven.be
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Position
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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.
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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.
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Requirements
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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.
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Information
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For more information contact Marie-Francine Moens, tel.: +3216325383, mail: sien.moens@cs.kuleuven.be.
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You can apply for the postdoctoral position by sending your CV and publication list to: sien.moens@cs.kuleuven.be.
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== Research Scientist Positions, NLP and Speech ==
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Employer: Educational Testing Service http://www.ets.org/
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* Rank or Title: Research Scientist
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* Specialty: Natural Language Processing
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* Location: Princeton, NJ or San Francisco, CA
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* Deadline: Until position is filled
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* Date Posted: 22 May 2013
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* Contact email: dyanchuk@ets.org
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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.
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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:
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* The incoporation of interactive tasks into assessment environments, using technologies for dialog management and analysis.
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* The automated induction of rhetorical structures from student responses, including argumentation strategies, narrative organization, and topical analyses.
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* Automated analysis of process data related to student performance on immersive assessment tasks (such as in a game-based environment).
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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.
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'''PRIMARY RESPONSIBILITIES'''
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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• Consult on ETS projects or external contracts that related to the research focus of the group.
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'''Required Experience:'''
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'''REQUIREMENTS FOR A JUNIOR LEVEL POSITION'''
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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.
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'''REQUIREMENTS FOR A MID-LEVEL POSITION'''
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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.
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'''REQUIREMENTS FOR A SENIOR-LEVEL POSITION'''
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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. Eight years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.
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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.
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ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
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== Research Assistant Positions, NLP ==
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Employer: Educational Testing Service http://www.ets.org/
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* Rank or Title: Research Assistant
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* Specialty: Natural Language Processing
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* Location: Princeton, NJ
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* Deadline: Until position is filled
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* Date Posted: 22 May 2013
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* Contact email: dyanchuk@ets.org
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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.
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'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
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'''Project Management/Leadership'''
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Complete Linguistic annotations of text, develop and apply scoring schemes to short answer responses, assist research scientitsts in constructing models and documenting procedures.
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Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).
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Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.
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Schedule services with other ETS departments, staff and vendors.
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Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.
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Research Design, Data Collection and Analysis
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Assist in developing and refining research instruments.
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Assist in developing procedures for data collection. Edit and proof coding systems and manuals.
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Administer research instruments such as assessments, surveys, observations, and interviews.
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Instruct support staff on procedures for data collection, data entry and check work.
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Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.
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Perform basic data analyses; Compile simple results.
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Prepare charts, tables, figures, and graphics for reports and presentations.
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'''Communication'''
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Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.
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Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.
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Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.
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Assist in developing presentations and present as part of a team.
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Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.
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Experience in using data analyses software.
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'''Required Experience:'''
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'''EDUCATION'''
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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.
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'''EXPERIENCE'''
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Six months of research-related experience is necessary.
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Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.
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ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
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== Senior Research Scientist - Xerox Research Centre Europe ==
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* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
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* Rank or Title: Senior Research Scientist
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* Specialty: Statistical Natural Language Processing, Machine Learning
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* Location: Grenoble, France
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* Deadline: 31 July 2013 or until position is filled
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* Date Posted: 2 May 2013
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* Contact email: James.Henderson@xrce.xerox.com
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'''Position Description'''
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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.
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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.
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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.
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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.
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'''Requirements'''
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* PhD in Computer Science or Computational Linguistics
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* NLP knowledge and experience
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* Machine learning knowledge or experience
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* Strong publication record
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* Programming skills
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* Strong written and oral communications skills in English
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'''Application instructions '''
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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.
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Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
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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.
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== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==
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* Employer: Qatar Computing Research Institute (http://www.qcri.qa)
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* Rank or Title: Intern/Research associate/Research assistant
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* Specialty: Information retrieval, text mining, natural language processing
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* Location: Doha, Qatar
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* Deadline: May 31, 2013
 +
* Date Posted: March 15, 2013
 +
* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa
 +
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'''POSITION DESCRIPTION'''
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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.
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'''INTERNSHIP TASKS INCLUDE'''
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* Development of effective techniques for information filtering from social media
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* Diversity analysis, categorization, and summarization of search results
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* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search
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* Web design/development of visualization schemes for social search results
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* Conducting project-related research work supervised by scientists in the team
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'''EXPECTED APPLICANTS SHOULD BE/HAVE'''
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* PhD/Master students in computer science or related field
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* At least 1-year research experience
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* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.
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* Background in social network analysis and/or natural language processing is a plus
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* Basic knowledge of Arabic language can help but is not mandatory
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* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)
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'''INTERNSHIP NATURE'''
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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.
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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.
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'''ABOUT QCRI'''
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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.
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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.
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'''APPLICATION'''
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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
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For more information, please visit:
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http://www.qcri.qa
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http://qcri.qa/our-research/arabic-language-technologies
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== Postdoctoral fellow -- KU Leuven ==
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* Employer: Department of Computer Science, KU Leuven, Belgium
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* Rank or Title: Postdoctoral fellow
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* Specialty: Information extraction, natural language understanding, machine reading
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* Location: Leuven, Belgium
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* Deadline: Until position fills
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* Date Posted: April 13, 2013
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* Contact email: Sien.Moens@cs.kuleuven.be
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'''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.
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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.
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'''Application instructions '''
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Please send your application to Marie-Francine Moens (Sien.Moens@cs.kuleuven.be).
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'''Other considerations'''
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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 ==
 
== Post-doctoral fellows -- University of Alberta ==
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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.
 
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.
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For more information please see: http://www.cngl.ie/vacancies.html
 
For more information please see: http://www.cngl.ie/vacancies.html
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== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
 
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
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http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
 
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
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==Researchers - AT&T Labs Research==
 
==Researchers - AT&T Labs Research==
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* Employer: AT&T Labs - Research
 
* Employer: AT&T Labs - Research
 
* Rank or Title: Researchers and Research Software Engineers
 
* Rank or Title: Researchers and Research Software Engineers
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AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
 
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
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==Engineer 4, NLP Software Development - Comcast Corporation (Washington DC or Philadelphia PA)==
 
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* Employer: Comcast
 
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* Rank or Title: Engineer 4
 
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* Specialty: Natural Language Processing, Speech Recognition, Machine Learning
 
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* Location: Washington DC or Philadelphia
 
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* Deadline: Applications accepted until position is filled
 
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* Date Posted: 6 December 2012
 
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* Contact email: brian_curtis@cable.comcast.com
 
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'''Position Description'''
 
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Comcast is the largest cable TV company in the world. We are looking for talented engineers to help us shape the future of content discovery for television.
 
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To help get us there, we are hiring an experienced software engineer to develop new technology and adapt/apply existing technologies to NLP problems for the Comcast Voice Control platform. This position is part of a small team that uses Speech Recognition, Natural Language Understanding/Processing, Machine Learning along with search technologies such as SOLR/Lucene, tf/idf and relevance ranking, to extract contextually correct entity and verb semantics from speech and apply them to real world solutions across millions of connected homes.
 
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'''About you'''
 
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* Education Level: Bachelors Degree or Equivalent
 
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* Field of Study: Computer Science, Engineering
 
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* Extensive experience using Java technologies including J2SE, XML/XSLT, Apache Jakarta components and other open source software.
 
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* Experience with statistical/modeling techniques such as CRF, HMM, SVM, KNN.
 
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* Experience with Topic Classification, Parsing, Narrative Thread analysis, parts of speech tagging, Sphinx, metadata extraction.
 
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* Experience with machine learning and/or algorithms.
 
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* Experience with Hibernate, MySQL and/or NoSQL, preferably Hadoop/HBase.
 
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* Experience with search technologies such as SOLR/Lucene and/or recommender systems.
 
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* Experience with and understanding of Unix systems (RHEL) desirable.
 
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* Experience in Agile development methodologies.
 
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* Strong problem solving ability with excellent written/verbal communication and presentation skills.
 
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If you are interested in this position and you think you might have what it takes, send your resume to brian_curtis@cable.comcast.com.
 
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==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==
 
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* Employer: Nuance Communications, Inc.
 
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* Rank or Title: NLP Research Scientist
 
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* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems
 
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* Location: Sunnyvale, CA, USA
 
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* Deadline: Applications accepted until position is filled
 
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* Date Posted: November 20th, 2012
 
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* Contact email: Jennifer.Garvale@nuance.com
 
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'''General Description'''
 
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Nuance is the world-wide leader in voice technologies. We are now making substantial research and development investments to add natural language processing capabilities to our speech infrastructure. We are expanding our new Silicon Valley Natural Language Research laboratory. The goal of this group is to develop the next generation of intelligent, conversational agents. We seek research scientists with the following backgrounds:
 
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* Dialog processing
 
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* Discourse and anaphora resolution
 
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* Multimodal generation
 
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* Parsing
 
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* Entity recognition
 
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* Morphology
 
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* Multilingual NLP
 
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* Semantic interpretation
 
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'''Responsibilities'''
 
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* Ownership of a major component of the conversational system.
 
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* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field.
 
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* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.
 
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* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products.
 
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* Design components in a way that will generalize across domains. Minimize the code change and human effort needed for the system to work in a new domain.
 
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* Collaborate with other scientists and engineers inside and outside of the team.
 
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* Patent or publish experimental results or designs when appropriate.
 
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'''Education/Experience'''
 
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* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.
 
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* Solid track record in both projects and publications for natural language processing.
 
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* Solid implementation skills in C++, Java, scripting languages.
 
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* Knowledge of both statistical and rule-based methods for natural language processing.
 
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Interested candidates should contact Jennifer Garvale at Jennifer.Garvale@nuance.com.  For additional information about the technical aspects of the position, feel free to contact Joel Tetreault at Joel.Tetreault@nuance.com. 
 
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==Postdoctoral Fellowship - Natural Language Processing==
 
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* Employer: University of Cincinnati and Cincinnati Children's Hospital Medical Center
 
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* Rank or Title: Postdoctoral Fellow - Natural Language Processing
 
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* Specialty: Computational Linguistics, Natural Language Processing, Natural Language Generation
 
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* Location: Cincinnati, OH, USA
 
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* Deadline: Applications accepted until position is filled
 
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* Date Posted: November 9th, 2012
 
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* Contact email Imre.Solti@cchmc.org
 
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'''Position and Requirements'''
 
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Are you a recent PhD graduate or getting ready to graduate with a degree in computational linguistics, computer science, artificial intelligence or closely related field? Do you want to apply your computational skills, machine learning and NLP experience to solve real world challenges to help patients by automating the clinical decision making? Do you have excellent command of both written and oral English, and first author peer reviewed journal publications?
 
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If the answers are yes and you would like to join our team of seven dedicated researchers, programmers and annotators then please, send your most recent CV, a brief research statement and three publications in PDF file format to: Imre.Solti@cchmc.org (include "Postdoctoral Fellow - ACL Wiki" in the subject line).
 
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We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary.
 
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'''About the Institution'''
 
−
Cincinnati Children's has over one million physician-patient encounters a year and is the second largest recipient of NIH funding among children hospitals. The hospital has over 12,000 employees. The Division of Biomedical Informatics manages a state-of-the-art 500+ CPU computing cluster. The research of the Solti Lab is funded from institutional and external (NIH) grants.
 
−
 
−
 
−
== Research Programmer position - speech and language processing ==
 
−
* Employer: University of Minnesota
 
−
* Location: Minneapolis, Minnesota, USA
 
−
* Deadline: open until filled
 
−
* Date posted: November 7, 2012
 
−
* Duration: Minimum 2 years committment
 
−
* Informal inquiries can be sent to Serguei Pakhomov at spakh001@gmail.com
 
−
 
−
'''General Description'''
 
−
The College of Pharamcy at the University of Minnesota is seeking a talented, pro-active and innovative individual for a Research Programmer position to work on several projects in Center for Clinical and Cognitive Neuropharmacology (C3N). C3N is engaged in conducting interdisciplinary research focused on cognitive effects of medications and neurodegenerative disorders such as Alzheimer’s disease. Computerized assessment is used to measure these cognitive effects. The successful candidate for this position will be responsible for a variety of computer-related tasks including creating and maintaining innovative computer-based neuropsychological testing applications that involve spontaneous speech and language collection and analysis. The successful candidate will also be expected to interact with graduate and undergraduate students on specific programming and research projects to meet the needs of the Center.
 
−
 
−
'''Skills and characteristics'''
 
−
 
−
* Education: Master’s degree in computer science, electrical engineering, computational linguistics or equivalent combination of training and experience
 
−
 
−
* Required Skills: Excellent analytical, technical and problem-solving skills. Deep understanding and experience with audio and speech processing. Strong application programming skills in C/C++,  Java, Python and/or Perl programming languages. Familiarity with speech recognition toolkits and APIs (e.g., HTK, Sphinx, KALDI, SRILM), acoustic analysis tools (e.g., Praat) and good understanding or experience with speech recognition and analysis technology.
 
−
 
−
* Preferred skills and characteristics: Familiarity with natural language processing (NLP) techniques and toolkits (e.g., NLTK). Experience with programming applications for mobile devices. Familiarity with computerized or paper-and-pencil neuropsychological testing.
 
−
 
−
* Other: The successful candidate will be a self-motivated and proactive individual, a good communicator interested in working in an academic environment. Participating in research and experimentation leading to scientific publication are not required but would be highly encouraged and supported.
 
−
 
−
If you are someone who has the necessary skills and thrives on working in an exciting and dynamic research environment, please send us a letter stating your interest and qualifications, and a resume. Please use this website to apply: https://employment.umn.edu/applicants/jsp/shared/position/JobDetails_css.jsp?postingId=576008. 
 
−
 
−
 
−
 
−
== One Postdoctoral Position In Statistical Machine Translation - Sapienza University of Rome (Italy) ==
 
−
* Employer: Sapienza University of Rome
 
−
* Location: Rome, Italy
 
−
* Deadline: 18th October 2012
 
−
* Date Posted: 01st October 2012
 
−
* Starting date: 1st December 2012
 
−
* Duration: 1+1 years
 
−
* Salary: 35000-50000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month)..
 
−
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
 
−
 
−
One position of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing is open in the Department of Computer Science of the Sapienza University of Rome, with a specific focus on statistical machine translation for Asian languages. The position is part of a 5-year ERC Starting Grant on multilingual Word Sense Disambiguation funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidate will participate in a frontier research project and will work in the stimulating environment of a leading and highly-active research team comprising 2 faculty members, 2 post-docs and 6 Ph.D. students.
 
−
 
−
'''REQUIREMENTS/QUALIFICATIONS'''
 
−
 
−
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
 
−
* Strong publication record in Statistical Machine Translation. Publication record in lexical semantics is a plus.
 
−
* Willingness to coordinate and supervise part of the research work of the ERC project.
 
−
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
 
−
* Fluent English. Proficiency in at least two major Asian languages. Knowledge of Italian is NOT a requirement.
 
−
* Solid programming skills.
 
−
 
−
'''HOW TO APPLY'''
 
−
 
−
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL3-2012) in the subject line.
 
−
 
−
'''ABOUT LA SAPIENZA'''
 
−
 
−
The Sapienza University of Rome is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at the Sapienza. The Sapienza University is an equal opportunity employer.
 
−
 
−
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
 
−
 
−
The Department of Computer Science is a modern, well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated just beside the main Sapienza University campus and is in easy walking distance of San Lorenzo, a nice lively area with lots of bookshop-cafes, bars and restaurants. Prospective candidates should not be afraid of the language barrier, as Italians are in general very friendly.
 
−
 
−
==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, in particular dialogue processing
 
−
* Location: Ocala, FL
 
−
* Deadline: Applications accepted until position is filled
 
−
* Date Posted: September 26th, 2012
 
−
* Contact email ywilks@ihmc.us
 
−
 
−
'''About Us'''
 
−
IHMC (www.ihmc.us) 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  project on dialogue processing, due to start in the coming months and run for one year initially, with extensions expected. The aim of the project is to produce a prototype conversational Companion-in-an-iPad for a brain-damaged patient in a domestic setting. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
 
−
 
−
Required:
 
−
 
−
▪ Natural language processing / computational linguistics background. Ideal: dialogue applications experience (in NLP not ASR),
 
−
 
−
▪ Substantial skills in processing corpora. Ideal: Java skills and standard statistical procedures.
 
−
 
−
▪ Ph.D. in computational linguistics or some equivalent in terms of experience in 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, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, RDF-style data, speech-language interfaces, information extraction, text classification, evaluation methodologies.
 
−
 
−
▪ Familiarity with existing data resources and tools: Wordnet, GATE, Nuance ASR, NLTK, Weka, and similar tools.
 
−
 
−
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
−
 
−
Apply to Yorick Wilks at: ywilks@ihmc.us
 
−
 
−
 
−
== NLP Research Scientist - Pacific Northwest National Laboratory ==
 
−
 
−
NLP Research Scientist wanted for work impacting National Security
 
−
Company: Pacific Northwest National Laboratory
 
−
Job ID:  301731  http://www.jobs.pnnl.gov/
 
−
Location:  PNNL - Richland, WA
 
−
Contact: jill.schroeder@pnnl.gov
 
−
 
−
This position requires significant contributions to the development and evolvement of natural language processing research at PNNL. The incumbent will possess skills in both natural language processing and software design and development. Expertise in natural language processing should include one or more applications including, but not limited to, information extraction, knowledge base population, machine reading, sentiment analysis and social media analytics. Software development skills should include, but are not limited to, object oriented programming and development, data modeling, building demonstrable and functional prototypes, and contributing to deployment-ready software.
 
−
 
−
In carrying out these duties, the incumbent will be responsible for maintaining strategic alliances with specified clients, managing individual or small team assignments for multiple projects, performing assignments with minimal oversight, working effectively within interdisciplinary development teams, and contributing to proposals, publications and presentations.
 
−
 
−
Specific responsibilities include:
 
−
- apply computational linguistics approaches and algorithms
 
−
- contribute to the translation of client requests and needs into a set of project requirements and tasks
 
−
- contribute to software design
 
−
- construct functional applications and prototypes using PHP, Perl, Python and Java
 
−
- perform algorithmic development and implementation, especially as they pertain to NLP
 
−
- evaluate natural language processing methods and results
 
−
- develop client server and database aware applications
 
−
- design and implement graphical user interfaces
 
−
- develop on Linux and Windows environments
 
−
- effectively manage individual tasks, schedule, workload, budget, and deadlines
 
−
- contribute to technical presentations and demonstrations of designs, prototypes and operational software to existing and potential clients; group, division, and sector managers
 
−
- contribute to or lead efforts in publishing research
 
−
- help grow the natural language processing business portfolio through proposal writing and client engagement
 
−
 
−
 
−
Responsibilities & Accountabilities:
 
−
 
−
This position reports to the Technical Group manager for Knowledge Discovery and Informatics within PNNL’s National Security Directorate, and is responsible for work activity as assigned by PNNL project managers for both internal and external clients. The incumbent is expected to develop knowledge of the goals of any projects to which they are assigned and the clients they support. The incumbent is expected to maintain a customer-service focus commensurate with this position.
 
−
 
−
The incumbent normally receives task instructions from their project managers, which are performed with minimal oversight. The incumbent will work both as task lead, and as a staff member under the direction of project managers and senior software scientists. The incumbent will be expected to attend regular project meetings and KDI group meetings. The incumbent may also be expected to attend offsite team meetings with other team members, clients, and users.
 
−
 
−
A level II scientist contributes to the completion of project milestones by leading specific tasks of the project to meet scope, schedule and budget. Level II scientists are contributing professionals who are building a professional reputation for their technical expertise in NLP. They are expected to continue to develop their technical expertise and knowledge, and develop new skills.  In addition, strong contributions to the technical content of proposals will be made.
 
−
 
−
A level III scientist will lead small to moderate research projects, contribute to the completion of programs and projects, and mentor other staff members. Level III scientists will be skilled professionals able to apply existing NLP methods to new work and will maintain skills consistent with the state of the art in NLP.  Level III scientists will generate ideas for new proposals and lead the development of technical content for small to medium proposals, and will contribute to scoping, scheduling and budgeting for projects.  . 
 
−
Minimum Requirements 
 
−
Level II:
 
−
A Bachelor's degree with 2-3 years experience or a Master's degree with 0-2 years experience or a Ph.D. is required.  Expected to contribute professionally, building a professional reputation for technical expertise.  Fully applying and interpreting standard theories, principles, methods, tools and technologies.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States.
 
−
 
−
Level III:
 
−
A Bachelor's degree with at least 5 years experience or a Master's degree with 3 years experience or a Ph.D. with 1-2 years experience is required.  Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
 
−
Qualifications 
 
−
Professional Expertise: Expertise in NLP algorithm development and strong software design and development skills.
 
−
 
−
Work-related Experience:
 
−
- Demonstrated ability and willingness to perform as a team member on multiple projects simultaneously and work effectively in a fast-paced, dynamic team environment with high expectations for quality.
 
−
- Experience leading project teams in research, design and development a plus.
 
−
 
−
Breadth of Relevant Specialized Knowledge and Skills:
 
−
- Well-developed oral and written communication skills, including ability to convey complex technical information accurately.
 
−
- Above-average client interaction skills including the ability to quickly understand a client’s business needs and communicate at the proper level of detail
 
−
- Proficient in the use of Windows, Macintosh, and Linux environments 
 
−
Preferred Education/Credential 
 
−
A PhD in computational linguistics is preferred.
 
−
 
−
Level II:
 
−
PhD in computational linguistics, natural language processing or related field within the last 5 years or Masters of Science in computer engineering, computer science or related field and 1+ years of experience in NLP within the last 5 years
 
−
 
−
Level III PREFERRED:
 
−
PhD in computational linguistics, natural language processing or related field and 1-2 years of experience in NLP within the last 5 years  or Masters of Science in computer engineering, computer science or related field and + years of experience in NLP within the last 5 years 
 
−
Equal Employment Opportunity 
 
−
Pacific Northwest National Laboratory (PNNL) is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace.  All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
 
−
Other Information 
 
−
This position requires the ability to obtain a federal security clearance in a timely manner.  Which requires: 
 
−
* US Citizenship
 
−
* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
 
−
* Drug Testing:  All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing.  In addition, applicants must be able to demonstrate non-use of illegal drugs for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
 
−
 
−
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs for 12 consecutive months can be demonstrated.
 
−
 
−
== Faculty Positions (open rank) in multiple areas, particularly Biomedical NLP / Text Mining, The Ohio State University (Columbus, OH, USA) ==
 
−
* Employer: The Ohio State University, Dept. of Computer Science & Engineering and Dept. of Biomedical Informatics
 
−
* Rank or Title: Assistant, Associate, or Full Professor
 
−
* Specialty: Multiple openings, including targeted hire in Biomedical Natural Language Processing / Text Mining
 
−
* Location: Columbus, OH USA
 
−
* Deadline: Review of applications will begin in November and continue until the positions are filled
 
−
* Date Posted: August 30, 2012
 
−
* Contact email or link to website: http://www.cse.ohio-state.edu/department/positions.shtml
 
−
 
−
The Computer Science and Engineering Department at the Ohio State University seeks faculty candidates for multiple tenured or tenure-track appointments at the assistant, associate or full professor level. The department is slated for significant growth as part of a multi-year expansion in size and scope, including targeted faculty hires in core areas as well as in areas that bridge CS with other disciplines. The specific searches being conducted this year include:
 
−
 
−
* One targeted position, open rank, in the area of big data, broadly defined. These include, but are not limited to, applicants that have core training in databases, systems, data analytics, or cloud computing, with experience in managing and analyzing big data stores.
 
−
* One targeted position, open rank, in the area of cybersecurity, broadly defined. We are specifically interested in applicants with research interests in network security, physical layer/information theoretic security, cyberphysical systems, data privacy, cryptography, or programming language security.
 
−
* One targeted position, open rank, at the interface of computer science and mathematics broadly defined. We are specifically interested in researchers working in theoretical computer science, scientific computing, or complex systems.
 
−
* Multiple targeted positions, open rank, jointly searched with the Department of Biomedical Informatics. Priority consideration will be given to applicants whose research interests lie in the processing of biomedical text (e.g. NLP or text mining) as well as those interested in the multi-scale modeling and visualization of high-throughput and/or high-content molecular or image data. Outstanding applicants in other areas at the intersection of biology, clinical science, informatics, and computer science will also be considered.
 
−
* In addition to the above targeted searches the department is conducting a search for an additional position (open rank) that is open to all areas of computer science and engineering.
 
−
 
−
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
 
−
 
−
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
 
−
 
−
To apply, please submit your application via the online database. The link can be found at: https://www.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
 
−
 
−
Review of applications will begin in November and will continue until the positions are filled.
 
−
 
−
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
 
−
 
−
== Postdoctoral Position in Natural Language Processing in Academia Sinica (Taipei, Taiwan) ==
 
−
 
−
* Employer: Institute of Information Science, Academia Sinica
 
−
http://www.sinica.edu.tw
 
−
 
−
http://www.iis.sinica.edu.tw
 
−
* PI: Lun-Wei Ku (Language Processing Group)
 
−
http://www.iis.sinica.edu.tw/pages/lwku/index_en.html
 
−
 
−
http://nlg18.csie.ntu.edu.tw:8080/lwku/lwku.html
 
−
 
−
* Rank or Title: Post Doctorial Researcher - Natural Language Processing
 
−
* Specialty: Computational Linguistics, Natural Language Processing, Information Retrieval, Machine Learning
 
−
* Location: Taipei, Taiwan
 
−
* Deadline: open until filled
 
−
* Date Posted: August 21st, 2012
 
−
* Start Date: before October, 2012 or after April, 2013
 
−
* Duration: 1+1+1 years
 
−
* Contact email: lwku@iis.sinica.edu.tw
 
−
 
−
'''REQUIRED'''
 
−
 
−
Ph.D. in computational linguistics / natural language processing or related areas.
 
−
 
−
Natural language processing / computational linguistics background.
 
−
Substantial skills in programming and processing large scale corpora.
 
−
 
−
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)
 
−
 
−
'''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.
 
−
 
−
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.
 
−
 
−
 
−
 
−
== Two Postdoctoral Positions in Natural Language Processing at the Sapienza University of Rome ==
 
−
* Employer: Sapienza University of Rome
 
−
* Location: Rome, Italy
 
−
* Deadline: open until filled
 
−
* Date Posted: 16th August 2012
 
−
* Starting date: fall/winter 2012
 
−
* Duration: 1+1+1 years
 
−
* 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'''
 
−
 
−
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
 
−
* Strong publication record in Computational Linguistics/Natural Language Processing (see below).
 
−
* Willingness to coordinate and supervise part of the research work of the ERC project.
 
−
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
 
−
* Fluent English. Knowledge of Italian is NOT a requirement.
 
−
* 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.
 
−
 
−
'''SPECIFIC REQUIREMENTS'''
 
−
 
−
* POSITION #1 (LCL1-2012): research record in computational lexical semantics, large-scale knowledge acquisition and validation, open information extraction, or data-intensive machine learning
 
−
* 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'''
 
−
 
−
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.
 
−
 
−
'''ABOUT SAPIENZA'''
 
−
 
−
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.
 
−
 
−
'''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.
 
−
 
−
== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==
 
−
 
−
'''Curata, Inc.'''
 
−
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'''
 
−
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.
 
−
 
−
Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.
 
−
 
−
'''Responsibilities'''
 
−
 
−
* Prototyping concepts and working with engineering team to see them through deployment.
 
−
* Suggesting new product concepts.
 
−
* Optimizing machine learning algorithms through iterative experimentation and parameter tuning.
 
−
* Architect, build and maintain flexible and highly scalable web applications
 
−
* Participate in the full engineering life cycle from design through implementation and deployment.
 
−
* Think in terms of the end-user and design accordingly
 
−
* Actively contribute to product design and feature selection discussions
 
−
 
−
'''Preferred Skills and Experience'''
 
−
* Significant research experience with natural language processing (NLP), information retrieval, machine learning or related fields.
 
−
* Strong software development skills, preferably with web applications.
 
−
* Versatile attitude towards technology -- ready and willing to learn and grow on the job.
 
−
 
−
'''Location:''' Kendall Square, Cambridge, MA / Boston
 
−
 
−
'''Type:''' Full-Time
 
−
 
−
'''Contact:''' engmgt.jobs@curata.com
 
−
 
−
== Research Fellowship at University of Aberdeen ==
 
−
 
−
* Employer: University of Aberdeen
 
−
* Job Title: Research Fellow in Natural Language Generation
 
−
* Location: Aberdeen, UK
 
−
* Deadline: 23rd July 2012
 
−
* Date Posted: 11th July 2012
 
−
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664
 
−
* 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.
 
−
 
−
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.
 
−
 
−
== 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.
 
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'''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. 
 
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'''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.
 
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'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''
 
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'''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
 
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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.
 

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.

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