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

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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==
 +
 +
* Employer: Qatar Computing Research Institute (http://www.qcri.qa)
 +
* Rank or Title: Intern/Research associate/Research assistant
 +
* Specialty: Information retrieval, text mining, natural language processing
 +
* Location: Doha, Qatar
 +
* Deadline: May 31, 2013
 +
* Date Posted: March 15, 2013
 +
* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa
 +
 +
'''POSITION DESCRIPTION'''
 +
 +
The NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.
 +
 +
'''INTERNSHIP TASKS INCLUDE'''
 +
* Development of effective techniques for information filtering from social media
 +
* Diversity analysis, categorization, and summarization of search results
 +
* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search
 +
* Web design/development of visualization schemes for social search results
 +
* Conducting project-related research work supervised by scientists in the team
 +
 +
'''EXPECTED APPLICANTS SHOULD BE/HAVE'''
 +
* PhD/Master students in computer science or related field
 +
* At least 1-year research experience
 +
* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.
 +
* Background in social network analysis and/or natural language processing is a plus
 +
* Basic knowledge of Arabic language can help but is not mandatory
 +
* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)
 +
 +
'''INTERNSHIP NATURE'''
 +
 +
Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents.
 +
 +
Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.
 +
 +
'''ABOUT QCRI'''
 +
 +
Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.
 +
 +
QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.
 +
 +
'''APPLICATION'''
 +
 +
Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now
 +
 +
For more information, please visit:
 +
http://www.qcri.qa
 +
http://qcri.qa/our-research/arabic-language-technologies
 +
 +
 +
== 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.
  
  
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The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.
 
The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.
 
 
  
  
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For more information please see: http://www.cngl.ie/vacancies.html
 
For more information please see: http://www.cngl.ie/vacancies.html
 +
  
 
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
 
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
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http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
 
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
 +
  
 
==Researchers - AT&T Labs Research==
 
==Researchers - AT&T Labs Research==
 +
 
* Employer: AT&T Labs - Research
 
* Employer: AT&T Labs - Research
 
* Rank or Title: Researchers and Research Software Engineers
 
* Rank or Title: Researchers and Research Software Engineers
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AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
 
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
 
==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.
 

Revision as of 11:07, 17 March 2013


Internship Opportunities in Qatar Computing Research Institute (QCRI)

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

POSITION DESCRIPTION

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

INTERNSHIP TASKS INCLUDE

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

EXPECTED APPLICANTS SHOULD BE/HAVE

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

INTERNSHIP NATURE

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

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

ABOUT QCRI

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

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

APPLICATION

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

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


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.