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

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'''Post-Doctoral Research Associate,
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Computational Linguistics:'''
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<div class="usermessage">
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The University of Maryland Center for Advanced Study of Language (CASL) is seeking a Post-Doctoral Research Associate to join its interdisciplinary research and development teams. The Research Associate will work on assigned projects under the direct supervision and mentoring of an experienced research scientist to conduct research within CASL’s interdisciplinary research program on Computational Linguistics. CASL seeks a scholar with knowledge and expertise in computational lexicography, morphology and phonology, as well as related areas of linguistics and computer science. The successful candidate will be expected to demonstrate evidence of successful research productivity and exhibit a commitment of service which will enable working with multidisciplinary teams on research projects that enable government employees – especially foreign language professionals – to improve their performance.
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* [[Instructions for Posting Job Ads]]
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CASL, established in 2003, is one of 14 university-affiliated research centers in the nation. Its mission is to conduct state-of-the-science research that results in improved performance on language tasks relevant to the work of government language professionals. Our research focuses on improving knowledge of less commonly taught languages, enhancing the acquisition and maintenance of foreign language capability by government professionals, advancing the capacity to use foreign language skills in government professions, and improving the quality of human language technology.
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Qualifications: Candidates must have an earned Ph.D. in Linguistics, Computer Science, or related disciplines; a record of research productivity in the areas of Natural Language Processing and Human Language Technology, and some publications. Candidates' research and publications should demonstrate the ability to tackle complex, interdisciplinary research and to work collaboratively with a range of institutions and researchers.
 
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Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.
 
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The position is initially available for a one-year term. Compensation for this position is competitive commensurate with experience and education, plus fantastic benefits (e.g., healthcare, excellent retirement plans, 22 days for annual leave, 3 personal days, and 14 scheduled holiday leave days per University schedule).
 
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Please apply online at https://jobs.umd.edu and click on “Faculty” (direct link: http://jobs.umd.edu/applicants/Central?quickFind=57045). The position will remain open until a suitable candidate is selected. You will need to create an account and submit a cover letter, a curriculum vitae (CV), a list of references containing the contact information for three professional referees, and three writing samples. The University of Maryland is an affirmative action, equal opportunity employer. Women and minorities are encouraged to apply.
 
 
* 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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** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
 
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== Staff Scientist and Postdoctoral Fellow Positions in Biomedical NLP and Data Mining ==
 
  
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* Employer: Cincinnati Children's Hospital Medical Center
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== Post-doctoral fellow -- KU Leuven ==
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* Job Title: Staff Scientist and Postdoctoral Fellow Positions
 
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* Location: Cincinnati, OH, USA
 
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* Deadline: Until filled
 
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* Date Posted: 8th August 2012
 
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* Link to website: https://research.cchmc.org/solti/open-positions
 
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* Contact email: Imre.Solti@cchmc.org
 
  
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'''Cincinnati Children's Hospital Medical Center'''
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* Employer: Department of Computer Science, KU Leuven, Belgium
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The Solti Lab at Cincinnati Children's Hospital Medical Center (CCHMC) is inviting candidates to apply to a Research Associate position. This is a permanent  staff scientist position. The lab is funded by multiple CCHMC and NIH grants to extract clinically relevant information from the electronic health record (including narrative text). We have clinical "Big Data" and our mission is to find medically relevant patterns in it.
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* Rank or Title: Post-doctoral fellow
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* Specialty: Information Extraction, text understanding, machine reading
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* Location: Leuven, Belgium
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* Deadline: March 15, 2013
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* Date Posted: March 2, 2013
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* Contact email: Marie-Francine.Moens@cs.kuleuven.be
  
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The Research Associate, in collaboration with the PI, will lead the NIH funded clinical trial eligibility screening and the Cincinnati-Boston Children's collaborative pediatric eMERGE initiatives and patient safety and health care quality improvement research efforts. The Research Associate will help the postdoctoral fellows in data analysis and publishing the results.
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'''Position description'''
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The KU Leuven offers an F+ fellowship to an outstanding postdoctoral researcher who is specialized in natural language processing and machine learning. 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 should have published several papers in any of the following journals or conferences:
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* Computational Linguistics, Computer Speech and Language, Artificial Intelligence, Journal of Machine Learning Research, Machine Learning, IEEE Intelligent Systems, ACM Transactions on Information Systems, or equivalent venues
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* Proceedings of ACL, EACL, NAACL-HLT, COLING, IJCAI, SIGIR, CIKM, ICML, ECAI, ECML, or equivalent venues.
  
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Qualified candidates for the Research Associate position have earned a PhD in biomedical informatics, bioinformatics, physics, computer science, artificial intelligence, computational linguistics or closely related field. Qualified candidates will arrive with multiple years of productive postdoctoral fellow experience and extensive publication records.
 
  
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Research experience with Machine Learning, Natural Language Processing (NLP), and data mining are mandatory. Excellent command of both written and oral English, first author peer reviewed journal publications, strong programming skills and familiarity with Unix/Linux environment for programming are required. Java and Unix cluster computing experiences and familiarity with clinical NLP are preferred.
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'''Application instructions '''
  
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The Research Associate will collaborate with physicians, CCHMC research faculty, postdoctoral fellows, and programmers. Ours is a dynamic, fast paced research environment. In order to be successful, the Research Associate will have to enjoy leading and contributing to multiple research projects concurrently.
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Please send your application to Marie-Francine Moens (marie-francine.moens@cs.kuleuven.be) the latest by March 15, 2013. Please add a CV, grade transcripts, and publication list. Reference letters may be useful as well.
  
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We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary. This is a permanent staff position.
 
  
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Cincinnati Children's has over one million patient encounters a year and is the second largest recipient of NIH funding among children hospitals. The Division manages a state-of-the-art 500+ CPU computing cluster. The research of the Solti Lab is funded from institutional and external (NIH) grants.
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'''Other considerations'''
  
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Interested candidates should send their most recent CV, a brief career statement and three publications in PDF file format to: Imre.Solti@cchmc.org Include "Research Associate" in the subject line.
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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.
  
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Imre Solti, MD, PhD, MA
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The postdoctoral position will be for one year starting in the late Spring or Summer 2013 and can be prolonged. He or she has a large interest in "machine reading" and semantic processing of text. The candidate has completed the PhD with success as evidenced by multiple publications in the venues cited above. He or she must have obtained a PhD from a university other than KU Leuven and must preferably have an international profile. He or she has a master degree (cum laude) in computer science, electrical engineering, mathematics, physics or a related discipline. The candidate does not have a postdoctoral status for more than six years. In order to be taken into consideration, the candidate must be available on a full-time basis. Furthermore, 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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Assistant Professor
 
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Division of Biomedical Informatics &
 
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Anderson Center for Health Systems Excellence
 
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Cincinnati Children's Hospital Medical Center
 
  
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== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==
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== Post-doctoral fellows -- University of Alberta ==
  
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'''Curata, Inc.'''
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* Employer: Department of Computing Science, University of Alberta
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Curata, Inc. provides easy-to-use marketing solutions for content curation and content marketing. Curata's product, Curata, allows marketers to easily find, organize and share content on specific issues or topics in order to establish thought leadership, own industry conversations and drive qualified web traffic. Curata was founded in 2007 and is headquartered in Cambridge, Massachusetts. For more information, visit www.curata.com.
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* Rank or Title: Post-doctoral fellow
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* Specialty: Information Extraction
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* Location: Edmonton, AB, Canada
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* Deadline: March 15 2013, but applications are accepted until positions are filled
 +
* Date Posted: 26 February 2013
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* Contact email: denilson@ualberta.ca
  
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'''Role Description'''
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'''Position Description'''
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We are looking for an individual who enjoys building and shipping code as an engineer, first and foremost, but also enjoys prototyping new product ideas leveraging natural language processing, information retrieval, and machine learning skills. You are a fit if you enjoy experimenting with a large text corpus, innovating new product concepts, and ultimately packaging and shipping your work.
 
  
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In the past two years, our customer base, comprising of marketing, information services, and knowledge management professionals, have curated millions of pieces of content through our complex content procurement and processing pipeline. We release new code many times a day, and have fun continually optimizing and enhancing our product. As a start-up, we need someone who can match the high energy and enthusiasm of our team.
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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.
  
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Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.
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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.  
  
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'''Responsibilities'''
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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.
  
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* Prototyping concepts and working with engineering team to see them through deployment.
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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.
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* Suggesting new product concepts.
 
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* Optimizing machine learning algorithms through iterative experimentation and parameter tuning.
 
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* Architect, build and maintain flexible and highly scalable web applications
 
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* Participate in the full engineering life cycle from design through implementation and deployment.
 
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* Think in terms of the end-user and design accordingly
 
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* Actively contribute to product design and feature selection discussions
 
  
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'''Preferred Skills and Experience'''
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'''Application instructions '''
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* Significant research experience with natural language processing (NLP), information retrieval, machine learning or related fields.
 
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* Strong software development skills, preferably with web applications.
 
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* Versatile attitude towards technology -- ready and willing to learn and grow on the job.
 
  
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'''Location:''' Kendall Square, Cambridge, MA / Boston
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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>.
  
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'''Type:''' Full-Time
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Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.
  
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'''Contact:''' engmgt.jobs@curata.com
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'''Other Considerations'''
  
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== Research Fellowship at University of Aberdeen ==
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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.
  
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* Employer: University of Aberdeen
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All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
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* Job Title: Research Fellow in Natural Language Generation
 
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* Location: Aberdeen, UK
 
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* Deadline: 23rd July 2012
 
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* Date Posted: 11th July 2012
 
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* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664
 
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* Contact email: c.mellish@abdn.ac.uk
 
  
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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.
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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.
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The successful candidate will have a good knowledge of natural language processing techniques in general (at the postgraduate level) and preferably some practical experience with NLG. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering.
 
  
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This post is funded by the EPSRC and it is anticipated that the project activities will be completed within 9 months of the agreed start date. This appointment will be made subject to the usual terms and conditions of employment of the University.
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== Research Scientist - Xerox Research Centre Europe ==
  
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== Executive Director at University of Maryland ==
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* 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
  
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** Employer:  University of Maryland, Center for Advanced Study of Language (CASL)
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'''Position Description'''
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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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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.
  
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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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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.  
  
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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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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.  
  
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'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''
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See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities
  
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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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'''Requirements'''  
  
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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.
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* PhD in Computer Science or Computational Linguistics
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* NLP knowledge and experience
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* Knowledge or experience in machine learning or information extraction
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* Object oriented programming skills (e.g. java)
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  * Strong written and oral communications skills in English
  
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== Several Positions in Data2Text (Natural Language Generation) ==
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'''Application instructions '''
  
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* Employer: Data2Text
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The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled.  
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* Job title: Natural Language Generation Engineer, Analytics Engineer, Lead Engineer
 
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* Specialty: natural language generation, analytics
 
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* Location: Aberdeen, Scotland, UK
 
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* Deadline: 29 June 2012
 
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* Date posted: 8 June 2012
 
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* Link to website: http://www.data2text.com/careers
 
  
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Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
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Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
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research group. We are looking to hire several people; please see our website for details
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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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http://www.data2text.com/careers
 
  
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This is a great opportunity for people who are keen on getting NLG technology
 
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out into the real world.  In addition to the advertised positions, we're happy to talk
 
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to people who are knowledgeable about NLG and keen to develop commercial applications,
 
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but whose profiles do not fit the advertised positions.
 
  
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Information inquiries (from the ACL community) should be sent to Ehud Reiter
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== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==
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(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
 
  
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== Associate Research Scientist (SPEECH) at Educational Testing Service ==
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* Employer: CNGL, Dublin City University http://www.cngl.ie
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* Rank or Title: PhD, Post-Doc and Research Programmer
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* 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
  
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* Employer: Educational Testing Service (www.ets.org)
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'''For More Details'''
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* Job Title: Associate Research Scientist (SPEECH)
 
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* Location: Princeton, NJ
 
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* Deadline: Open until filled
 
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* Date Posted: 16-May-2012
 
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* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]
 
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* Contact email: dyanchuk@ets.org
 
  
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'''JOB DESCRIPTION'''
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http://www.cngl.ie/vacancies.html
  
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ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
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'''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.
  
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'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
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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.
  
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* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.
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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.
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* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.  
 
  
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* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
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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.
  
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* Develop and oversee the conduct of selected portions of research proposals and project budgets.
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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.
  
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* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
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The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
  
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* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
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'''PhD Studentships'''
  
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* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
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*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
  
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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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'''Post-Doctoral Positions'''
  
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+
*Parsing, Analytics and Information Extraction:
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'''EXPERIENCE AND SKILLS'''
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**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)
  
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EDUCATION
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'''Post-Doctoral Positions'''
  
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Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.
+
*Research Programmer (up to 2.5 year contract)
  
 +
For more information please see: http://www.cngl.ie/vacancies.html
  
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EXPERIENCE
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== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
  
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Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).
+
* 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
−
'''APPLYING'''
 
  
−
Interested parties can apply for the position through the following website:  
+
==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
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
'''Position Description'''
  
−
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
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.  
  
−
== Associate Research Scientist (NLP) at Educational Testing Service ==
+
Areas of particular interest are
  
−
* Employer: Educational Testing Service (www.ets.org)
+
    * Large-vocabulary automatic speech recognition
−
* Job Title: Associate Research Scientist (NLP)
+
    * Acoustic and language modeling
−
* Location: Princeton, NJ
+
    * Robust speech recognition
−
* Deadline: Open until filled
+
    * Signal processing
−
* Date Posted: 16-May-2012
+
    * Text-to-speech synthesis
−
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]
+
    * Natural language understanding and dialog
−
* Contact email: dyanchuk@ets.org
+
    * Machine translation (speech and text)
 +
    * Speaker biometrics
 +
    * Voice and multimodal search
 +
    * Software engineering for speech and language processing
  
−
'''JOB DESCRIPTION'''
+
Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).
  
−
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
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,
−
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:
  
−
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field.  
+
http://www.research.att.com/evergreen/working_with_us/careers.html
  
−
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.  
+
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.  
  
−
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
  
−
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
==Engineer 4, NLP Software Development - Comcast Corporation (Washington DC or Philadelphia PA)==
 +
* Employer: Comcast
 +
* Rank or Title: Engineer 4
 +
* Specialty: Natural Language Processing, Speech Recognition, Machine Learning
 +
* Location: Washington DC or Philadelphia
 +
* Deadline: Applications accepted until position is filled
 +
* Date Posted: 6 December 2012
 +
* Contact email: brian_curtis@cable.comcast.com
  
−
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
'''Position Description'''
  
−
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
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.  
  
−
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
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.
  
−
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
'''About you'''
  
−
+
* Education Level: Bachelors Degree or Equivalent
−
'''EXPERIENCE AND SKILLS'''
+
* Field of Study: Computer Science, Engineering
 +
* Extensive experience using Java technologies including J2SE, XML/XSLT, Apache Jakarta components and other open source software.
 +
* Experience with statistical/modeling techniques such as CRF, HMM, SVM, KNN.
 +
* Experience with Topic Classification, Parsing, Narrative Thread analysis, parts of speech tagging, Sphinx, metadata extraction.
 +
* Experience with machine learning and/or algorithms.
 +
* Experience with Hibernate, MySQL and/or NoSQL, preferably Hadoop/HBase.
 +
* Experience with search technologies such as SOLR/Lucene and/or recommender systems.
 +
* Experience with and understanding of Unix systems (RHEL) desirable.
 +
* Experience in Agile development methodologies.
 +
* Strong problem solving ability with excellent written/verbal communication and presentation skills.
  
−
EDUCATION
 
  
−
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.
+
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.  
−
 
−
EXPERIENCE
 
−
 
−
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset.  
 
  
−
 
−
'''APPLYING'''
 
  
−
Interested parties can apply for the position through the following website:
 
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend
 
  
−
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==
 +
* Employer: Nuance Communications, Inc.
 +
* Rank or Title: NLP Research Scientist
 +
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems
 +
* Location: Sunnyvale, CA, USA
 +
* Deadline: Applications accepted until position is filled
 +
* Date Posted: November 20th, 2012
 +
* Contact email: Jennifer.Garvale@nuance.com
  
−
== Associate Research Engineer at Educational Testing Service ==
+
'''General Description'''
  
−
* Employer: Educational Testing Service (www.ets.org)
+
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:
−
* Job Title: Associate Research Engineer
 
−
* Location: Princeton, NJ
 
−
* Deadline: Open until filled
 
−
* Date Posted: 15-May-2012
 
−
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]
 
−
* Contact email: dyanchuk@ets.org
 
  
−
'''JOB DESCRIPTION'''
+
* Dialog processing
 +
* Discourse and anaphora resolution
 +
* Multimodal generation
 +
* Parsing
 +
* Entity recognition
 +
* Morphology
 +
* Multilingual NLP
 +
* Semantic interpretation
  
−
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
'''Responsibilities'''
  
−
+
* Ownership of a major component of the conversational system.
−
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field.
−
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies.  
+
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.
 +
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products.
 +
* 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.
 +
* Collaborate with other scientists and engineers inside and outside of the team.
 +
* Patent or publish experimental results or designs when appropriate.  
  
−
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.
+
'''Education/Experience'''
 +
* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.
 +
* Solid track record in both projects and publications for natural language processing.
 +
* Solid implementation skills in C++, Java, scripting languages.
 +
* Knowledge of both statistical and rule-based methods for natural language processing.
  
−
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.
 
  
−
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.
+
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.
  
−
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
 
  
−
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
 
  
−
* Implement components of technical documentation of NLP software systems, solutions and results.
+
==Postdoctoral Fellowship - Natural Language Processing==
−
 
+
* Employer: University of Cincinnati and Cincinnati Children's Hospital Medical Center
−
* Attend area-wide staff training and development sessions.
+
* Rank or Title: Postdoctoral Fellow - Natural Language Processing
−
+
* Specialty: Computational Linguistics, Natural Language Processing, Natural Language Generation
−
'''EXPERIENCE AND SKILLS'''
+
* Location: Cincinnati, OH, USA
−
 
 
−
EDUCATION
 
−
 
 
−
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
 
−
 
−
EXPERIENCE
 
−
 
 
−
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.
 
−
 
 
−
OTHER REQUIREMENTS
 
−
* Knowledge of UNIX and Windows computing environments.
 
−
 
 
−
* Familiarity with UNIX tools and scripting languages.
 
−
 
 
−
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.
 
−
 
 
−
* Excellent verbal and written communication skills.
 
−
 
 
−
 
−
'''APPLYING'''
 
−
 
 
−
Interested parties can apply for the position through the following website:
 
−
 
 
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend
 
−
 
 
−
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
 
−
 
 
−
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
 
−
 
 
−
* Employer: Austrian Research Institute for Artificial Intelligence
 
−
* Group: Language Technology
 
−
* Title: Junior Researcher
 
−
* Requirements:
 
−
** Permission to work within the European union
 
−
** Excellent English language skills; knowledge of the German language is a plus
 
−
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)
 
−
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)
 
−
** Programming skills in C++, Perl and/or Java
 
−
** Strong ability to work independently and drive an original research agenda
 
−
* Deadline:  June 15, 2012
 
−
* Date Posted: May 14, 2012
 
−
* Contact: harald.trost@ofai.at
 
−
 
 
−
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties".
 
−
 
 
−
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.
 
−
 
 
−
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.
 
−
 
 
−
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
 
−
 
 
−
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).
 
−
 
 
−
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.
 
−
 
 
−
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.
 
−
 
 
−
 
 
−
== Junior Research Group Leaders at Saarland University ==
 
−
 
 
−
* Employer: Saarland University, Germany
 
−
* Division: MMCI Cluster of Excellence
 
−
* Title: Junior Research Group Leaders
 
−
* Job ID: W490
 
−
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)
 
−
* Location: Saarbrücken, Germany
 
−
* Deadline:  April 30, 2012
 
−
* Date Posted: April 4, 2012
 
−
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
−
 
 
−
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.
 
−
 
 
−
Deadline for applications is April 30th, 2012.
 
−
 
 
−
For the complete announcement see:
 
−
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
−
 
 
−
 
 
−
Additional information on the excellence cluster is available on
 
−
http://www.mmci.uni-saarland.de/
 
−
 
 
−
 
 
−
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. 
 
−
 
 
−
== Scientist Position in Statistical Machine Translation at Microsoft ==
 
−
 
 
−
* Employer: MICROSOFT
 
−
* Division: Online Services Division
 
−
* Title: Scientist Position
 
−
* Job ID: 789594
 
−
* Specialty: Statistical Machine Translation
 
−
* Location: Bellevue, WA or Mountain Vew, CA
 
−
* Deadline: As soon as possible
 
−
* Date Posted: March 30, 2012
 
−
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN
 
−
 
 
−
Scientist Position in Statistical Machine Translation
 
−
 
−
Research and Development Opportunities for Next Generation Technology at Microsoft
 
−
 
−
Do you want to impact billions of people all over the world with speech technology that you create?
 
−
 
 
−
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation,
 
−
weighted finite state transducers, natural language processing and machine learning will be preferred.
 
−
 
−
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages.
 
−
 
 
−
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.
 
−
 
 
−
 
 
−
 
 
−
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==
 
−
 
 
−
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley
 
−
* Title: Post MS, Post Doc, or above
 
−
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning
 
−
* Location: Mountain Vew, CA
 
−
* Deadline: As soon as possible
 
−
* Date Posted: March 21, 2012
 
−
* Contact: patrick.w.langley@gmail.com
 
−
 
 
−
An ongoing project has an opening for a researcher who will help extend
 
−
Icarus, a cognitive architecture, to reason about other agents' mental
 
−
states in the context of dialogues and joint activities. The framework
 
−
uses a logical formalism to encode knowledge, beliefs, and goals, and
 
−
it relies on a form of abduction to make plausible inferences. Experience
 
−
in building reasoning systems that operate over rich representations is
 
−
essential, and a background in applied logic, knowledge-based systems,
 
−
and/or cognitive architectures is highly desirable.
 
−
 
 
−
The location of the project will be Carnegie Mellon's Silicon Valley
 
−
Campus. The start date is negotiable, but the position will be available
 
−
on May 1, 2012, and the project has funding for another two years.
 
−
Interested parties should send their curriculum vitae, along with
 
−
the contact details for two or more references, to Pat Langley
 
−
<patrick.w.langley@gmail.com>.
 
−
 
 
−
 
 
−
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==
 
−
 
 
−
* Employer: Illinois Institute of Technology
 
−
* Title: Postdoc
 
−
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor
 
−
* Location: Chicago, IL
 
−
* Deadline: As soon as possible
 
−
* Date Posted: March 13, 2012
 
−
* Contact: argamon@iit.edu
 
−
 
 
−
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.
 
−
 
 
−
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.
 
−
 
 
−
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.
 
−
 
 
−
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding.
 
−
 
 
−
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.
 
−
 
 
−
Review of applications will begin immediately and continue until the position is filled.
 
−
 
 
−
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==
 
−
 
 
−
* Employer: Google
 
−
* Job title: Postdoc
 
−
* Specialty: Natural Language Processing, Machine Learning, summarization
 
−
* Location: Zurich, Switzerland
 
−
* Deadline: we are looking to fill the position soon
 
−
* Date posted: 1 March 2012
 
−
 
 
−
A post-doctoral position in the area of automatic text summarization
 
−
within the RENDER project is available at the Google Switzerland R&D
 
−
office. RENDER is a EU FP7 research project focused on identifying
 
−
diversity of opinions, viewpoints, mindsets and backgrounds in texts
 
−
from different sources: news, (micro) blog streams, and in
 
−
collaboratively written resources like Wikipedia. More information on
 
−
the project goals is available at http://render-project.eu/.
 
−
 
 
−
The duration of the post-doctoral contract will be one year, with the
 
−
possibility of renewing for a second year. This position will allow
 
−
the candidate to perform research on several NLP-related areas,
 
−
to interact with the consortium partners and with other Google-internal
 
−
research and development projects, and to apply the results of the
 
−
research to real applications with a potentially large impact.
 
−
 
 
−
Requirements:
 
−
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.
 
−
* Extensive programming experience in C/C++.
 
−
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
 
−
* Fluency in English.
 
−
 
 
−
Responsibilities:
 
−
* Perform research in the context of the project (text summarization).
 
−
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.
 
−
* Publish the result of the research in top conferences or journals.
 
−
* Be available to attend project meetings with the partners in the project.
 
−
 
 
−
For applying to this position, please send an e-mail to Enrique
 
−
Alfonseca (ealfonseca@google.com) including a paragraph on why you
 
−
think you are a right person for the role, and a brief CV.
 
−
 
 
−
== 4 PhD positions in spoken dialogue systems research ==
 
−
 
 
−
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague
 
−
* Job title: 4 PhD positions in spoken dialogue systems research
 
−
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing
 
−
* Location: Prague, Czech Republic
 
−
* Deadline: 1 June 2012
 
−
* Date posted: 16 February 2012
 
−
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs
 
−
 
 
−
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.
 
−
 
 
−
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing.
 
−
 
 
−
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering  or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.
 
−
 
 
−
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities.
 
−
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.
 
−
 
 
−
 
 
−
== PhD-position in sentiment mining and reputation analysis==
 
−
 
 
−
* Employer: Erasmus University Rotterdam
 
−
* Job title: PhD-student
 
−
* Specialty: text mining, sentiment analysis, topic detection, reputation management
 
−
* Location: Rottterdam, The Netherlands 
 
−
* Deadline: 1 March 2012
 
−
* Date posted: 6 February 2012
 
−
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
 
−
 
 
−
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.
 
−
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. 
 
−
 
 
−
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
 
−
 
 
−
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
 
−
 
 
−
== PhD-position in folktale classification and clustering ==
 
−
* Employer: University of Twente
 
−
* Job title: PhD-student
 
−
* Specialty: text classification, document clustering, natural language processing
 
−
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands
 
−
* Deadline: 4 March 2012
 
−
* Date posted: 6 February 2012
 
−
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425
 
−
 
 
−
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers.  The PhD-student will work on automatic classification of Dutch folktales by their international folktale type  and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.
 
−
 
 
−
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute.
 
−
 
 
−
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
 
−
 
 
−
==Research Associate Position at Educational Testing Service==
 
−
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
 
−
* Job Title: Research Associate
 
−
* Location: Princeton, NJ
 
−
* Deadline: Open until filled
 
−
* Date Posted: 28-Jan-2012
 
−
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
 
−
* Contact email: dyanchuk@ets.org
 
−
 
 
−
'''JOB DESCRIPTION'''
 
−
 
 
−
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation.
 
−
 
 
−
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
−
 
 
−
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
 
−
 
 
−
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
 
−
 
 
−
* Plan and manage annotations for a variety of projects.
 
−
 
 
−
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.
 
−
 
 
−
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.
 
−
 
 
−
* Design original research instruments and methods and applications of research.
 
−
 
 
−
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers.
 
−
 
 
−
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.
 
−
 
 
−
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.
 
−
 
 
−
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.
 
−
 
 
−
* Contact, establish, and develop relationships with research community and with data sources.
 
−
 
 
−
* Arrange and attend conferences and meetings; present research findings at professional meetings.
 
−
 
 
−
'''EXPERIENCE AND SKILLS'''
 
−
 
 
−
EDUCATION
 
−
 
 
−
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
 
−
 
 
−
EXPERIENCE
 
−
 
 
−
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects.
 
−
 
 
−
APPLYING
 
−
 
 
−
Interested parties can apply for the position through the following website:
 
−
 
 
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
 
−
 
 
−
If there are any questions, please contact:
 
−
 
 
−
Dave Yanchuk
 
−
(609) 406-5291
 
−
dyanchuk@ets.org
 
−
 
 
−
 
 
−
==Postdoc Position at HRL Laboratories==
 
−
* Employer: HRL Laboratories, LLC
 
−
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
 
−
* Location: Malibu, CA
 
−
* Deadline: Open until filled
 
−
* Date Posted: 26-Jan-2012
 
−
* Contact email: hmoon@hrl.com
 
−
 
 
−
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information.
 
−
For job considerations, please send your cover letter and CV to hmoon@hrl.com.
 
−
 
 
−
Job Description:
 
−
 
 
−
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
 
−
 
 
−
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.
 
−
 
 
−
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources.
 
−
 
 
−
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus.
 
−
 
 
−
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.
 
−
 
 
−
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.
 
−
 
 
−
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
 
−
 
 
−
==Postdoc or Research Associate - Natural Language Processing==
 
−
* Employer: IHMC (www.ihmc.us)
 
−
* Rank or Title: Research Associate - Natural Language Processing
 
−
* Specialty: Computational Linguistics, Natural Language Processing
 
−
* Location: Ocala, FL
 
 
* Deadline: Applications accepted until position is filled
 
* Deadline: Applications accepted until position is filled
−
* Date Posted: January 3rd, 2012
+
* Date Posted: November 9th, 2012
−
* Contact email ywilks@ihmc.us
+
* Contact email Imre.Solti@cchmc.org
−
 
 
−
'''About Us'''
 
−
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
 
−
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
 
−
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
 
−
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
 
−
 
 
−
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
 
−
 
−
Required:
 
−
 
 
−
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
 
−
 
 
−
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
 
−
 
 
−
▪ Ph.D. in computational linguistics / natural language processing or related areas.
 
−
 
 
−
Skills and Experience:
 
−
 
 
−
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
−
 
 
−
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.
 
−
 
 
−
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
 
−
 
 
−
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
−
 
 
−
Apply to Yorick Wilks at: ywilks@ihmc.us
 
−
 
 
−
 
 
−
 
 
−
 
−
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
 
−
* Employer: Queens College of the City University of New York
 
−
* Location: New York, NY
 
−
* Deadline: Review of applications to begin on March 1, 2012
 
−
* Website: http://www.cs.qc.cuny.edu/
 
−
* Date posted: January 4, 2012
 
−
 
 
−
'''Visiting Assistant/Associate/Full Professor'''
 
  
−
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1.  This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.
+
'''Position and Requirements'''
 +
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?
  
−
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors.  If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.
+
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).
  
−
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research.  More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/
+
We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary.
  
−
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.
+
'''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.
  
−
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
 
  
−
Dr. Matt Huenerfauth, Search Committee Chair
+
== 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
  
−
Department of Computer Science
+
'''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.
  
−
Queens College-CUNY
+
'''Skills and characteristics'''
  
−
65-30 Kissena Blvd.
+
* Education: Master’s degree in computer science, electrical engineering, computational linguistics or equivalent combination of training and experience
  
−
Flushing, New York 11365-1597
+
* 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.
  
−
matthew.huenerfauth (at) qc.cuny.edu
+
* 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.  
  
−
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders.  Review of applications will begin on March 1, 2012, and will continue until the position is filled.
+
* 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.
  
−
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification.  We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.
+
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.

Revision as of 01:45, 2 March 2013


Post-doctoral fellow -- KU Leuven

  • Employer: Department of Computer Science, KU Leuven, Belgium
  • Rank or Title: Post-doctoral fellow
  • Specialty: Information Extraction, text understanding, machine reading
  • Location: Leuven, Belgium
  • Deadline: March 15, 2013
  • Date Posted: March 2, 2013
  • Contact email: Marie-Francine.Moens@cs.kuleuven.be

Position description The KU Leuven offers an F+ fellowship to an outstanding postdoctoral researcher who is specialized in natural language processing and machine learning. 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 should have published several papers in any of the following journals or conferences:

  • Computational Linguistics, Computer Speech and Language, Artificial Intelligence, Journal of Machine Learning Research, Machine Learning, IEEE Intelligent Systems, ACM Transactions on Information Systems, or equivalent venues
  • Proceedings of ACL, EACL, NAACL-HLT, COLING, IJCAI, SIGIR, CIKM, ICML, ECAI, ECML, or equivalent venues.


Application instructions

Please send your application to Marie-Francine Moens (marie-francine.moens@cs.kuleuven.be) the latest by March 15, 2013. Please add a CV, grade transcripts, and publication list. Reference letters may be useful as well.


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.

The postdoctoral position will be for one year starting in the late Spring or Summer 2013 and can be prolonged. He or she has a large interest in "machine reading" and semantic processing of text. The candidate has completed the PhD with success as evidenced by multiple publications in the venues cited above. He or she must have obtained a PhD from a university other than KU Leuven and must preferably have an international profile. He or she has a master degree (cum laude) in computer science, electrical engineering, mathematics, physics or a related discipline. The candidate does not have a postdoctoral status for more than six years. In order to be taken into consideration, the candidate must be available on a full-time basis. Furthermore, 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.

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.

Engineer 4, NLP Software Development - Comcast Corporation (Washington DC or Philadelphia PA)

  • Employer: Comcast
  • Rank or Title: Engineer 4
  • Specialty: Natural Language Processing, Speech Recognition, Machine Learning
  • Location: Washington DC or Philadelphia
  • Deadline: Applications accepted until position is filled
  • Date Posted: 6 December 2012
  • Contact email: brian_curtis@cable.comcast.com

Position Description

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.

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.

About you

  • Education Level: Bachelors Degree or Equivalent
  • Field of Study: Computer Science, Engineering
  • Extensive experience using Java technologies including J2SE, XML/XSLT, Apache Jakarta components and other open source software.
  • Experience with statistical/modeling techniques such as CRF, HMM, SVM, KNN.
  • Experience with Topic Classification, Parsing, Narrative Thread analysis, parts of speech tagging, Sphinx, metadata extraction.
  • Experience with machine learning and/or algorithms.
  • Experience with Hibernate, MySQL and/or NoSQL, preferably Hadoop/HBase.
  • Experience with search technologies such as SOLR/Lucene and/or recommender systems.
  • Experience with and understanding of Unix systems (RHEL) desirable.
  • Experience in Agile development methodologies.
  • Strong problem solving ability with excellent written/verbal communication and presentation skills.


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.



NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)

  • Employer: Nuance Communications, Inc.
  • Rank or Title: NLP Research Scientist
  • Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems
  • Location: Sunnyvale, CA, USA
  • Deadline: Applications accepted until position is filled
  • Date Posted: November 20th, 2012
  • Contact email: Jennifer.Garvale@nuance.com

General Description

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:

  • Dialog processing
  • Discourse and anaphora resolution
  • Multimodal generation
  • Parsing
  • Entity recognition
  • Morphology
  • Multilingual NLP
  • Semantic interpretation

Responsibilities

  • Ownership of a major component of the conversational system.
  • Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field.
  • Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.
  • Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products.
  • 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.
  • Collaborate with other scientists and engineers inside and outside of the team.
  • Patent or publish experimental results or designs when appropriate.

Education/Experience

  • Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.
  • Solid track record in both projects and publications for natural language processing.
  • Solid implementation skills in C++, Java, scripting languages.
  • Knowledge of both statistical and rule-based methods for natural language processing.


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.


Postdoctoral Fellowship - Natural Language Processing

  • Employer: University of Cincinnati and Cincinnati Children's Hospital Medical Center
  • Rank or Title: Postdoctoral Fellow - Natural Language Processing
  • Specialty: Computational Linguistics, Natural Language Processing, Natural Language Generation
  • Location: Cincinnati, OH, USA
  • Deadline: Applications accepted until position is filled
  • Date Posted: November 9th, 2012
  • Contact email Imre.Solti@cchmc.org

Position and Requirements 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?

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).

We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary.

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.

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