Employment opportunities, postdoctoral positions, summer jobs

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The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact.  Senior researchers are expected to also lead research projects.  We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals.  We also have multiple open innovation collaborations with academic partners world-wide.  
 
The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact.  Senior researchers are expected to also lead research projects.  We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals.  We also have multiple open innovation collaborations with academic partners world-wide.  
  
The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis.  The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning.  We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance.  The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group.  We are also interested in applying research results to practical applications and real-world problems.  Our general application focus is on converting unstructured text into structured information, including facts and opinions.  The solutions we develop play a key role in Xerox? next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.
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The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis.  The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning.  We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance.  The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group.  We are also interested in applying research results to practical applications and real-world problems.  Our general application focus is on converting unstructured text into structured information, including facts and opinions.  The solutions we develop play a key role in Xerox's next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.
  
 
XRCE is located in Grenoble, France, in the heart of the French Alps.  Grenoble offers an excellent quality of life and a large scientific community.  For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities.
 
XRCE is located in Grenoble, France, in the heart of the French Alps.  Grenoble offers an excellent quality of life and a large scientific community.  For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities.

Revision as of 12:46, 2 May 2013


Contents

Senior Research Scientist - Xerox Research Centre Europe

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

Position Description

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

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

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

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

Requirements

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

Application instructions

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

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

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


Internship Opportunities in Qatar Computing Research Institute (QCRI)

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

POSITION DESCRIPTION

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

INTERNSHIP TASKS INCLUDE

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

EXPECTED APPLICANTS SHOULD BE/HAVE

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

INTERNSHIP NATURE

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

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

ABOUT QCRI

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

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

APPLICATION

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

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


Postdoctoral fellow -- KU Leuven

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

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

Application instructions

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


Other considerations

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

Post-doctoral fellows -- University of Alberta

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

Position Description

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

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

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

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

Application instructions

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

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

Other Considerations

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

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

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


Research Scientist - Xerox Research Centre Europe

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

Position Description

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

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

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

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

Requirements

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

Application instructions

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

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


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

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

For More Details

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

Position Description

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

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

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

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

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

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

PhD Studentships

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

Post-Doctoral Positions

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

Post-Doctoral Positions

  • Research Programmer (up to 2.5 year contract)

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


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

  • Employer: Nara Insititute of Science and Technology

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

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

For Detailed Description

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


Researchers - AT&T Labs Research

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

Position Description

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

Areas of particular interest are

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

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

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

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

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

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

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