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* '''[[Instructions for Posting Job Ads]]'''
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* [[Instructions for Posting Job Ads]]
 
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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** [[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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** [[Employment opportunities posted 2013|2013]] - [[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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== Research Scientist - Xerox Research Centre Europe ==
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==Post-doctoral position at McMaster University, Canada ==
 +
* Employer: McMaster University
 +
* Title: Postdoctoral Fellow
 +
* Specialty: natural language processing, sentiment analysis, computational linguistics.
 +
* Location: Hamilton, Ontario, Canada
 +
* Deadline: December 20, 2014
 +
* Date Posted: October 23, 2014
 +
* Website: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf
  
−
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
+
Applications are solicited for a postdoctoral fellowship in the Cognitive Science of Language graduate program at McMaster University for the topic of developing psychologically grounded tools for sentiment analysis. Applicants would have their primary affiliation and work location in the Department of Linguistics and Languages at McMaster University, and will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. You will be expected to participate in a research program that explores individual and group (gender, age) variability in perception and regulation of emotion.  
−
* 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'''
+
Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.
  
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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.
+
Please see the following web page for further details and the application procedure:
 +
http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf
  
−
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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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.
+
== Post-doc in Bio-NLP Social Media Mining for Adverse Drug Reactions ==
 +
* Employer: University of Liverpool
 +
* Title: Postdoctoral Research Associate
 +
* Specialty: Bio-NLP, Natural Language Processing, Social Media Mining, Web Mining
 +
* Location: Liverpool, United Kingdom
 +
* Deadline: November 14, 2014 17:00 GMT
 +
* Date Posted: October 23, 2014
  
−
See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities
 
  
−
'''Requirements'''
+
You will work on the IMI project, WEB-RADR.  This is a highly innovative project involving collaboration across the EU and with researchers in the USA which will evaluate the use of social media in identifying adverse reactions to drugs.  You will be working between two Faculties (Science & Engineering, and Health & Life Sciences) and the project will be inherently inter-disciplinary.  Practical experience of software development, and good knowledge of Bio-NLP tasks such as NER, text classification, and social media analysis are essential to the role. You should have a PhD Level in NLP, Data/Web/Text Mining, or Machine Learning. The post is available until 31 August 2017.
  
−
* PhD in Computer Science or Computational Linguistics
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Please see the following web page for further details including job specifications and application form.
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* NLP knowledge and experience
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http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-586752/
−
* Knowledge or experience in machine learning or information extraction
 
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* Object oriented programming skills (e.g. java)
 
−
* Strong written and oral communications skills in English
 
  
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'''Application instructions '''
+
==Tenure-track Faculty Position at University of Michigan School of Information==
 +
* Employer: University of Michigan
 +
* Title: Assistant Professor
 +
* Specialty: Information Analysis and Retrieval
 +
* Location: Ann Arbor, Michigan, USA
 +
* Deadline: November 15, 2014 preferred
 +
* Date Posted: October 22, 2014
  
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The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled.
+
https://www.si.umich.edu/prospective-faculty/position-call-information-analysis-retrieval
  
−
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
+
The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or “big data.” While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Applications of particular interest include, but are not limited to, scientific and health data analysis, text analysis, social media analysis and digital humanities.  
−
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.  
 
  
 +
The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.
  
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== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==
+
The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students. We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), and a Bachelor of Science in Information.
  
−
* Employer: CNGL, Dublin City University http://www.cngl.ie
+
Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion.  
−
* 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
 
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* Date Posted: January 30, 2013
 
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* Start Date: March, 2013
 
−
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
 
−
* Contact email: dgroves@computing.dcu.ie
 
  
−
'''For More Details'''
+
Qualifications:
 +
* Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval
 +
* Demonstrated potential and strong commitment to successful teaching at the undergraduate and graduate level
 +
* Demonstrated potential for high scholarly impact
 +
* A strong commitment to connecting information, technology, and people that values interdisciplinary research, and cultural diversity
  
−
http://www.cngl.ie/vacancies.html
+
Review of applications will begin on November 15, 2014 and will continue until the position is filled. For questions about potential fit and your application please contact Dr. Qiaozhu Mei (qmei@umich.edu).  
  
−
'''Position Description'''
+
Application materials required: cover letter, curriculum vitae (CV), research statement, teaching statement, three representative publications, and contact information for three references. For more information or to apply, please visit http://apply.interfolio.com/27182.
  
−
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.
+
In addition to this position, the UMSI is also looking for applicants in the area of human-computer interaction, communication and technology, and health informatics.
  
−
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.
+
==Asst/Assc/Full Professor, Ames, Iowa==
 +
* Employer: Iowa State University
 +
* Title: Assistant, Associate, or Full Professor
 +
* Specialty: Natural Language Processing
 +
* Location: Ames, Iowa, USA
 +
* Deadline: December 3, 2014
 +
* Date Posted: October 21, 2014
  
−
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.
+
Iowa State University has launched the Presidential High Impact Hires Initiative to support targeted faculty hiring in areas of strategic importance. As part of the initiative, the Department of English and the College of Liberal Arts and Sciences invite applications for an Assistant, Associate, or Full Professor in natural language processing with an emphasis in educational applications, particularly analysis of students’ linguistic production. At the undergraduate level, the selected faculty will teach basic courses in English and Linguistics, and at the graduate level, courses in Applied Linguistics and Technology and in Human-Computer Interaction. Potential graduate course content includes programming for NLP, computational analysis of English, statistical analysis of language, discourse analysis, second language acquisition, sentiment analysis, language-based analytics, speech-driven user interfaces or automated content analysis, according to specialty. Research areas of particular interest are pedagogical applications of natural language processing, assessment of learners’ developing language ability, second language acquisition, statistical approaches to the study of language, and the analysis of discipline-specific language.  The position begins August 2015.
  
−
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 Applied Linguistics and Technology and the Human-Computer Interaction programs attract forward-looking students, who create an exciting intellectual environment. The programs are part of the Department of English, which offers BA degree programs in English, Literature, Rhetorical Studies, and Speech Communication; a BS degree in Technical Communication; as well as—in partnership with the Department of World Languages and Cultures—a minor in World Film Studies. On the graduate level, the department offers MA degrees in Literature; Rhetoric, Composition, and Professional Communication; TESL/Applied Linguistics; as well as an MFA program in Creative Writing and the Environment. The department also offers two PhD programs in Applied Linguistics and Technology and Rhetoric and Professional Communication. The Department of English is committed to diversity among faculty, staff and students who can enrich University objectives in the areas of research, teaching, and service. For more information, see http://www.engl.iastate.edu/.
  
−
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
+
Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 34,000 students are enrolled, and served by over 6,100 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted second best most livable small city in the nation (see www.amescvb.com).
  
−
'''PhD Studentships'''
+
Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.
  
−
*Parsing, Analytics and Information Extraction:
+
All faculty members are expected to exhibit and convey good citizenship within the program, the department, college, and university activities and collegial interactions, and maintain the highest standards of integrity and ethical behavior.
−
**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
 
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**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
 
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**Human interaction with MT output: Usability, Acceptability, Post-editing Research
 
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**MT and Multimodal Interaction
 
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**MT for Multimodal Cross Language Information Retrieval
 
  
−
'''Post-Doctoral Positions'''
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A PhD by time of appointment in computational linguistics, natural language processing, or related field for all ranks.  Assistant Professor, tenure-track- The potential for excellence in research and effectiveness in teaching;  Associate Professor – A demonstrated record of accomplishments in scholarship, including an outstanding publication record, demonstrated ability to obtain research funding and effectiveness in teaching;  Full Professor – A demonstrated record of intellectual leadership through high-impact scholarship, including an outstanding publication record, program of funded research and effectiveness in teaching.  Language teaching experience and language assessment experience preferred.
  
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*Parsing, Analytics and Information Extraction:
+
Please apply for this position through the Iowa State University website at www.iastatejobs.com (Posting #400050) or by visiting http://www.iastatejobs.com/postings/7815 and click on "Apply to this Job". Please be prepared to enter or attach the following: a letter of application/cover letter, curriculum vitae, statement of teaching/research interests, transcript or list of graduate courses taken, and contact information for three references. Priority consideration will be given to applications received by December 3, 2014.
−
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
 
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**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
 
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*Machine Translation:
 
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**User/Human Centric MT (up to 2.5 year contract)
 
  
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'''Post-Doctoral Positions'''
+
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status, and will not be discriminated against. Inquiries can be directed to the Director of Equal Opportunity, 3350 Beardshear Hall, (515) 294-7612.
  
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*Research Programmer (up to 2.5 year contract)
 
  
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For more information please see: http://www.cngl.ie/vacancies.html
 
  
−
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
+
==Computational Linguist, Wrocław, Poland==
 +
* Employer: Wrocław University of Technology
 +
* Title: Computational Linguist
 +
* Specialty: Natural Language Engineering, Computational Linguistics
 +
* Location: Wrocław, Poland/other
 +
* Deadline: until filled
 +
* Date Posted: October 15, 2014
  
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* Employer: Nara Insititute of Science and Technology
 
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http://www.naist.jp/en/
 
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* Rank or Title: Assistant Professor
 
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* Specialty:  Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
 
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* Location: Nara, Japan
 
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* Deadline: February 28, 2013
 
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* Date Posted: January 30, 2013
 
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* Start Date: after April, 2013
 
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* Duration: 5 years (reappointment is possible)
 
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* Contact email: matsu@is.naist.jp
 
  
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'''For Detailed Description'''
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'''Team'''
  
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http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
+
The academic group G4.19  brings together those interested in linguistics, computational linguistics, and natural language engineering. The Group develops and implements tools for natural language processing. The main focus is on the development of basic tools and language resources for Polish. The Group participates in a number of research projects, among others it coordinates the CLARIN-PL project: http://www.clarin-pl.eu.
  
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==Researchers - AT&T Labs Research==
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'''Job description'''
−
* Employer: AT&T Labs - Research
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* designing algorithms for the analysis of natural language texts, based on the combination of linguistic knowledge and methods of artificial intelligence (including machine learning, rule-based methods and methods of statistical analysis),
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* Rank or Title: Researchers and Research Software Engineers
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* developing computer systems related to natural language processing and coordinating the work of small teams of programmers (conducting test and research experiments),
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* Specialty: Natural Language Processing, Speech Processing, Machine Learning
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* active participation in the ongoing research projects (planning and realisation of experiments , data processing, realisation of dedicated research tasks of varying complexity),
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* Location: NJ
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* active participation in preparing applications for new research grants,
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* Deadline: Applications accepted until position is filled
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* active participation in writing research papers.
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* Date Posted: 8 January 2013
 
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* Contact email: vkumar@research.att.com
 
  
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'''Position Description'''
+
'''Requirements'''
 +
* enthusiastic approach to research and development of language technology for Polish,
 +
* good knowledge of at least one of the languages: C ++, Python or Java,
 +
* very welcome good knowledge of Polish,
 +
* knowledge of English sufficient for reading scientific publications and technical documentation,
 +
* welcome knowledge of Linux, Git, UML,
 +
* the preferred candidates should hold PhD degree in computer science, but we do not exclude  candidates holding PhD degree in a different field or those at the advanced stage of work on their PhD.
  
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AT&T Research, one of the premier industrial research laboratories in the world, is looking for
+
'''We offer'''
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talented individuals to make a difference in the world of communications.  Our researchers and
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* participation in large research projects at national and international level,
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research software engineers are dedicated to solving real problems in speech and language
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* good basis for a scientific career and an opportunity of writing a dissertation,
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processing, and are involved in inventing, creating and deploying innovative services. We also
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* for PhD students: possibility of employment on a research assistant post,
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explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at
+
* choice of form of employment (contract or other),
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all levels of experience are encouraged to apply.  Candidates must demonstrate excellence in
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* attractive salary (in terms of market, not university wages),
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research, a collaborative spirit and strong communication and software skills.  
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* interesting job in a dynamic team,
 +
* flexible working hours,
 +
* flexible working time.
  
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Areas of particular interest are
+
If interested, please send your CV and list of publications to: clarin-pl@pwr.edu.pl
  
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    * Large-vocabulary automatic speech recognition
+
The application must include a statement: "I hereby agree for processing my personal data for the purpose of the recruitment process (in accordance with Personal Data Protection Act dated 29.08.1997, Journal of Laws of the Republic of Poland No. 133, item 883)."
−
    * Acoustic and language modeling
 
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    * Robust speech recognition
 
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    * Signal processing
 
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    * Text-to-speech synthesis
 
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    * Natural language understanding and dialog
 
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    * Machine translation (speech and text)
 
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    * Speaker biometrics
 
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    * Voice and multimodal search
 
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    * Software engineering for speech and language processing
 
  
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Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).
+
We kindly inform you that we will contact selected candidates only.
  
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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
 
  
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Candidates must demonstrate a proven research track record and the ability to identify technical
+
==Language Processing, Edinburgh, Scotland==
−
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
+
* Employer: Daxtra Technologies (http://www.daxtra.com)
−
are desired. Access to massive amounts of real-world data, the ability to work with internal and external
+
* Title: Research Application Developer
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collaborators across departments, the possibility of making an impact by developing solutions that will be used
+
* Specialty: Natural Language Processing
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by millions, and the freedom to publish your results are some of the reasons AT&T Labs -
+
* Location: Musselburgh, nr Edinburgh, Scotland
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Research is an exciting place to work.
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* Deadline: until filled
 +
* Date Posted: October 10, 2014
  
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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)==
+
'''Job Description:'''
−
* Employer: Comcast
 
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* Rank or Title: Engineer 4
 
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* Specialty: Natural Language Processing, Speech Recognition, Machine Learning
 
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* Location: Washington DC or Philadelphia
 
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* Deadline: Applications accepted until position is filled
 
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* Date Posted: 6 December 2012
 
−
* Contact email: brian_curtis@cable.comcast.com
 
  
−
'''Position Description'''
+
Daxtra Technologies are looking for people with a background in applied language/text processing to join the R&D team in Edinburgh. Daxtra (a spin-out from the University of Edinburgh) is the leading provider of Natural Language Processing techniques
  
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Comcast is the largest cable TV company in the world. We are looking for talented engineers to help us shape the future of content discovery for television.  
+
You will be involved in multilingual grammar engineering, development of statistical text classifiers and search/retrieval components. Apart from a strong background in text processing you will need to demonstrate good experience in computer programming.
  
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To help get us there, we are hiring an experienced software engineer to develop new technology and adapt/apply existing technologies to NLP problems for the Comcast Voice Control platform. This position is part of a small team that uses Speech Recognition, Natural Language Understanding/Processing, Machine Learning along with search technologies such as SOLR/Lucene, tf/idf and relevance ranking, to extract contextually correct entity and verb semantics from speech and apply them to real world solutions across millions of connected homes.
 
  
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'''About you'''
+
'''Location:'''
  
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* Education Level: Bachelors Degree or Equivalent
+
Daxtra Technologies headquarters in Musselburgh, nr Edinburgh, Scotland
−
* Field of Study: Computer Science, Engineering
 
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* Extensive experience using Java technologies including J2SE, XML/XSLT, Apache Jakarta components and other open source software.
 
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* Experience with statistical/modeling techniques such as CRF, HMM, SVM, KNN.
 
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* Experience with Topic Classification, Parsing, Narrative Thread analysis, parts of speech tagging, Sphinx, metadata extraction.
 
−
* Experience with machine learning and/or algorithms.
 
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* Experience with Hibernate, MySQL and/or NoSQL, preferably Hadoop/HBase.
 
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* Experience with search technologies such as SOLR/Lucene and/or recommender systems.
 
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* Experience with and understanding of Unix systems (RHEL) desirable.
 
−
* Experience in Agile development methodologies.
 
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* 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.
+
'''How to Apply:'''
  
 +
For further details or to send us your CV/resume, please contact a.nazarov@daxtra.com
  
  
 +
==Computational Linguists==
 +
* Employer: The Lingua Team
 +
* Title: Computational Linguist
 +
* Specialty: Natural Language Processing
 +
* Location: Seattle or remotely
 +
* Deadline: ASAP
 +
* Date Posted: September 22, 2014
  
−
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==
+
'''Description:'''
−
* Employer: Nuance Communications, Inc.
+
We are looking for several candidates (one for each of the languages advertised) with an advanced degree in Linguistics, or with Computational linguist background. The projects involve morphology tagging and/or linguistic analysis, but they can be done remotely. Languages: French, German, Spanish, US English, Japanese, Brazilian Portuguese, Finnish, or Polish. Please, provide a resume with your email application.
−
* 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'''
+
'''Qualifications:'''
 +
* Computational Linguistics and/or advanced Linguistics degree
 +
* Experience drafting grammars or adapting an existing grammar to a second language
 +
* Programming experience desirable
 +
* Full understanding of inflectional and derivational morphology, POS, lemmatization, etc.
  
−
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:
+
'''Location:'''
 +
Seattle, WA or remote
 +
 
 +
'''How to Apply:'''
 +
Send your resume to info@thelinguateam.com
 +
 
 +
== Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL ==
 +
 
 +
* Employer: Toyota Technological Institute at Chicago
 +
* Title: Visiting student researcher
 +
* Specialty: Machine learning, NLP, speech
 +
* Location: Chicago, IL, United States, 60637
 +
* Deadline: Until filled
 +
* Date Posted: Sept 10, 2014
 +
 
 +
 
 +
'''Job Description'''
 +
 
 +
Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.
 +
 
 +
 
 +
The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).
 +
 
 +
 
 +
The target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.
 +
 
 +
 
 +
'''Responsibilities'''
 +
 
 +
The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.
 +
 
 +
 
 +
'''Qualifications'''
 +
 
 +
Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.
 +
 
 +
 
 +
'''How to Apply'''
 +
 
 +
Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:
 +
 
 +
* brief cover letter, describing your interest in and qualifications for the position
 +
*  curriculum vitae including publication list
 +
* two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)
 +
 
 +
Please see http://ttic.edu/bansal/slu-job.html for more information.
 +
 
 +
 
 +
== NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA ==
 +
 
 +
* Employer: Civis Analytics
 +
* Title: Data Scientist
 +
* Specialty: Natural Language Processing / Speech Processing / Machine Learning
 +
* Location: Chicago, Illinois, USA
 +
* Deadline: Rolling
 +
* Date Posted: July 7, 2014
 +
 
 +
'''Who We Are:'''
 +
 
 +
Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”
 +
 
 +
Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems. We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.
 +
 
 +
We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.
 +
 
 +
We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.
 +
 
 +
We are smart, fun, and a little bit weird. Does this sound like you?
 +
 
 +
'''Job Description:'''
 +
 
 +
The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company.  Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.
 +
 
 +
With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis.  Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.
 +
 
 +
We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
 +
 
 +
'''Minimum Qualifications:'''
 +
 
 +
* Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
 +
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
 +
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
 +
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
 +
* Experience with SQL databases
 +
* Strong programming skills
 +
* Experience identifying and correcting for problems in imperfect data
 +
* An ability and eagerness to constantly learn and teach others
 +
 
 +
'''Preferred Qualifications:'''
 +
* PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
 +
* Ability to expand upon modern statistical learning methods
 +
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
 +
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
 +
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
 +
* Theoretical understanding sufficient to independently implement complex neural network architectures
 +
 
 +
'''Location:'''
 +
 
 +
This posting is for a position in Civis’ Chicago headquarters.
 +
 
 +
'''Dates:'''
 +
 
 +
We are hiring for multiple positions and will evaluate candidates as applications are received.
 +
 
 +
'''How to Apply:'''
 +
 
 +
Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il.
 +
Specific inquiries may be directed to Derrick Higgins: [mailto:dhiggins@civisanalytics.com dhiggins@civisanalytics.com].
 +
 
 +
 
 +
== Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France ==
 +
 
 +
* Employer: Aix-Marseille University
 +
* Title: Postdoc
 +
* Specialty: Natural Language Processing
 +
* Location: Luminy, Marseille, France
 +
* Deadline: July 1st, 2014
 +
* Date Posted: June 12, 2014
 +
 
 +
'''Job Description:'''
 +
 
 +
We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You
 +
will contribute to conversation analysis summarization research to
 +
allow the exploitation of large quantity of comments in social
 +
media and spoken conversations.
 +
 
 +
You will contribute to the design and development of speech and text
 +
summarization technologies for conversational data such as social
 +
media comments and tweets. There will be three components to the
 +
system: linguistic analysis of the conversations, content selection
 +
and aggregation, and generation of the summaries (text or other
 +
media). The approach is expected to make use of recent machine
 +
learning advances such as deep learning, and focus on limiting the
 +
quantity of supervision needed. The prototype will be evaluated by
 +
end-user professionals in ecological conditions.
 +
 
 +
'''Qualifications:'''
 +
 
 +
The applicant must hold a PhD degree, preferably in the field of
 +
natural language processing or machine learning. He/she should:
 +
* Be proficient in one of Java / C++ programming and python or php scripting
 +
* Have experience with developing efficient NLP / machine learning systems.
 +
* Be keen on researching the literature and writing papers
 +
* Enjoy team work and be autonomous
 +
 
 +
'''Location:'''
 +
 
 +
You will work at the LIF computer science lab at Aix-Marseille
 +
University in France, at the Luminy campus next to the
 +
calanques.
 +
 
 +
'''Dates:'''
 +
 
 +
Interviews will be held in July 2014, the Postdoc will start in
 +
september / october 2014 and last one year.
 +
 
 +
'''How to Apply:'''
 +
 
 +
Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr
 +
 
 +
== Executive Director / CLARIN ERIC / Utrecht University, the Netherlands ==
 +
 
 +
* Employer: CLARIN ERIC through Utrecht University
 +
* Title: Executive Director
 +
* Specialty: Research Infrastructures
 +
* Location: Utrecht University, the Netherlands
 +
* Deadline: August 15, 2014
 +
* Date Posted: June 10, 2014
 +
 
 +
'''Job Description:'''
 +
 
 +
CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.
 +
 
 +
As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.
 +
 
 +
The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.
 +
 
 +
'''Responsibilities:'''
 +
 
 +
* Leading the Board of Directors of the CLARIN ERIC
 +
* Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
 +
* Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
 +
* Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
 +
* Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
 +
* Leading the international fundraising efforts for CLARIN
 +
* Monitoring and measuring CLARIN’s activities and reporting to General Assembly
 +
* Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
 +
* Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
 +
* Planning, organizing, and managing the main office in Utrecht, which includes recruitment
 +
* Facilitating and supporting the operation of CLARIN’s governance bodies
 +
 
 +
'''Qualifications:'''
 +
 
 +
* A higher university degree or equivalent qualifications and an international interdisciplinary network
 +
* Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
 +
* An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
 +
* Excellent communicative skills
 +
* A proven fundraising record
 +
* A record of relevant academic excellence
 +
* The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies
 +
 
 +
'''How to Apply'''
 +
 
 +
For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director
 +
 
 +
 
 +
== Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California ==
 +
 
 +
* Employer: Bosch Research & Technology Center
 +
* Title: Research Scientist in Natural Language Technologies (PhD)
 +
* Specialty: Natural Language Processing
 +
* Location: Palo Alto, California, United States, 94304
 +
* Deadline: Until filled
 +
* Date Posted: May 19, 2014
 +
 
 +
'''Job Description:'''
 +
 
 +
The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers.  We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.
 +
 
 +
To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.
 +
 
 +
'''Responsibilities:'''
 +
 
 +
* Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
 +
* Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
 +
* Communicate with business departments about the technology potentials as well as identify potential areas of business values.
 +
 
 +
 
 +
'''Qualifications:'''
 +
 
 +
* Ph.D. in Computer Science or related fields
 +
* Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
 +
* Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
 +
* Strong skills in coding (C/C++ or Java), algorithms and system design
 +
* Very good communication skill together with good quality publication
 +
* Experience in text summarization research and development is a plus
 +
* Experience in large system development and speech technology is a plus
 +
 
 +
 
 +
'''How to Apply'''
 +
 
 +
For more information, and to apply online, please visit http://bit.ly/1k8UZ57
 +
 
 +
 
 +
 
 +
== Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL ==
 +
 
 +
* Employer: Toyota Technological Institute at Chicago
 +
* Title: Post-doctoral scholar
 +
* Specialty: Machine learning, NLP, computer vision, speech
 +
* Location: Chicago, IL, United States, 60637
 +
* Deadline: Until filled
 +
* Date Posted: May 12, 2014
 +
 
 +
 
 +
'''Job Description'''
 +
 
 +
Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.
 +
 
 +
 
 +
The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.
 +
 
 +
 
 +
The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan.  The position will remain open until filled.
  
−
* Dialog processing
 
−
* Discourse and anaphora resolution
 
−
* Multimodal generation
 
−
* Parsing
 
−
* Entity recognition
 
−
* Morphology
 
−
* Multilingual NLP
 
−
* Semantic interpretation
 
  
 
'''Responsibilities'''
 
'''Responsibilities'''
  
−
* Ownership of a major component of the conversational system.
+
The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.
−
* 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.
+
Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.
−
* 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.  
+
'''Qualifications'''
 +
 
 +
Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field.  There are no citizenship requirements.
  
−
'''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.
 
  
 +
'''How to Apply'''
  
−
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.
+
Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:
  
 +
* brief cover letter, describing your interest in and qualifications for the position
 +
* curriculum vitae including publication list
 +
* contact information for two or more researchers who can provide letters of reference
  
 +
Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.
  
−
==Postdoctoral Fellowship - Natural Language Processing==
+
== Postdoctoral Fellow / INRIA / Saclay ==
−
* Employer: University of Cincinnati and Cincinnati Children's Hospital Medical Center
+
* Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
−
* Rank or Title: Postdoctoral Fellow - Natural Language Processing
+
* Title: PostDoc (12 months)
−
* Specialty: Computational Linguistics, Natural Language Processing, Natural Language Generation
+
* Specialty: Natural Language Processing
−
* Location: Cincinnati, OH, USA
+
* Location: Palaiseau, Ile-de-France, France
−
* Deadline: Applications accepted until position is filled
+
* Deadline: June 30, 2014
−
* Date Posted: November 9th, 2012
+
* Date Posted: May 6, 2014
−
* 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).
+
'''Job Description'''
  
−
We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary.
+
The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.
  
−
'''About the Institution'''
+
'''Duties'''
−
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.
 
  
 +
Reporting to the Dr. Gregory Grefenstette, your
 +
typical duties will include the following:
  
−
== Research Programmer position - speech and language processing ==
+
* Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
−
* Employer: University of Minnesota
+
* Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
−
* Location: Minneapolis, Minnesota, USA
+
* Discover and adapt existing open data taxonomies to the platform;
−
* Deadline: open until filled
+
* Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources
−
* 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'''
+
'''Required Qualifications'''
  
−
* Education: Master’s degree in computer science, electrical engineering, computational linguistics or equivalent combination of training and experience
+
The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer  
 +
science, computational linguistics or a related discipline.
 +
* Experience with natural language processing (e.g., Stanford Parser)
 +
* Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
 +
* Experience with classification algorithms
 +
* Familiarity with dealing with large, noisy data sets
 +
* Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
 +
* Desire to produce functioning end-to-end systems, life-scale live demos
 +
* Scientific rigour
 +
* Imagination
  
−
* 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.
+
'''How to Apply'''
  
−
* 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.  
+
Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242
  
−
* 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.
+
Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.
  
−
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. 
+
'''About Us'''
  
 +
Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..
  
 +
For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014
  
−
== One Postdoctoral Position In Statistical Machine Translation - Sapienza University of Rome (Italy) ==
+
== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
−
* Employer: Sapienza University of Rome
+
* Employer: University of British Columbia and BC Cancer Agency
−
* Location: Rome, Italy
+
* Title: PostDoc
−
* Deadline: 18th October 2012
+
* Specialty: Natural Language Processing, Machine Learning
−
* Date Posted: 01st October 2012
+
* Location: Vancouver, British Columbia, Canada
−
* Starting date: 1st December 2012
+
* Deadline: Until filled
−
* Duration: 1+1 years
+
* Date Posted: March 26, 2014
−
* Salary: 35000-50000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month)..
 
−
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
 
  
−
One position of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing is open in the Department of Computer Science of the Sapienza University of Rome, with a specific focus on statistical machine translation for Asian languages. The position is part of a 5-year ERC Starting Grant on multilingual Word Sense Disambiguation funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidate will participate in a frontier research project and will work in the stimulating environment of a leading and highly-active research team comprising 2 faculty members, 2 post-docs and 6 Ph.D. students.
+
'''Job Description'''
  
−
'''REQUIREMENTS/QUALIFICATIONS'''
+
The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics
 +
Technology Lab to conduct scientific research in the areas of bioinformatics and
 +
genomics, specifically related to automated analysis and annotation of cancer
 +
research literature.
  
−
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
+
The successful applicant will work with trainees and research scientists in a team
−
* Strong publication record in Statistical Machine Translation. Publication record in lexical semantics is a plus.
+
that develops tools for a clinical genomics pipeline based on primary sequence
−
* Willingness to coordinate and supervise part of the research work of the ERC project.
+
analysis, to build natural language processing and machine learning tools that
−
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
+
interpret identified mutations for their biological significance as they relate
−
* Fluent English. Proficiency in at least two major Asian languages. Knowledge of Italian is NOT a requirement.
+
to reports in the relevant literature.  
−
* Solid programming skills.
 
  
−
'''HOW TO APPLY'''
+
'''Duties'''
  
−
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL3-2012) in the subject line.
+
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
 +
typical duties will include the following:
  
−
'''ABOUT LA SAPIENZA'''
+
* Building natural language processing and machine learning tools for automated literature survey
 +
* Analysis and annotation of data from genomics studies as they relate to the literature
 +
* Collaborating with biologists and clinical researchers on the accuracy of the results
 +
* Reporting research methods and results in meetings, seminars and conferences
 +
* Contribution to and leading scientific publications and research proposals
  
−
The Sapienza University of Rome is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at the Sapienza. The Sapienza University is an equal opportunity employer.
+
'''Required Qualifications'''
  
−
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
+
The ideal candidate should possess a PhD degree and recent proven experience in computer
 +
science, electrical engineering or a related discipline. A strong publication record in
 +
the field, and demonstrated technical writing skills are highly desirable. Prior research
 +
experience in bioinformatics is also desirable, but not required.
  
−
The Department of Computer Science is a modern, well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated just beside the main Sapienza University campus and is in easy walking distance of San Lorenzo, a nice lively area with lots of bookshop-cafes, bars and restaurants. Prospective candidates should not be afraid of the language barrier, as Italians are in general very friendly.
+
More experienced candidates will be considered for a Staff Scientist position, pending
 +
successful funding.
  
−
==Postdoc or Research Associate - Natural Language Processing==
+
'''How to Apply'''
−
* Employer: IHMC (www.ihmc.us)
+
 
−
* Rank or Title: Research Associate - Natural Language Processing
+
Please send your resume with cover letter to bcgscjobs@bcgsc.ca
−
* Specialty: Computational Linguistics, Natural Language Processing, in particular dialogue processing
+
We request that you specify the position you are applying for by identifying the Job Code
−
* Location: Ocala, FL
+
only ("PDFBTL 14-03-27") in the subject line of your emailed application.
−
* Deadline: Applications accepted until position is filled
+
 
−
* Date Posted: September 26th, 2012
+
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
−
* Contact email ywilks@ihmc.us
+
residents will be given priority.  
  
 
'''About Us'''
 
'''About Us'''
−
IHMC (www.ihmc.us) is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
 
−
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
 
−
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
 
−
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
 
  
−
The candidate will be appointed on a new  project on dialogue processing, due to start in the coming months and run for one year initially, with extensions expected. The aim of the project is to produce a prototype conversational Companion-in-an-iPad for a brain-damaged patient in a domestic setting. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
+
Genome Sciences Centre is a leading international institution for genomics and bioinformatics
−
+
research. Our mandate is to advance knowledge about cancer and other diseases, to improve human
−
Required:
+
health through disease prevention, diagnosis and therapeutic approaches, and to realize the  
 +
social and economic benefits of genomics research.
 +
 
 +
For more information, please visit www.bcgsc.ca
 +
 
 +
== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
 +
* Employer: University of Massachusetts Medical School
 +
* Title: PostDoc
 +
* Specialty: Natural Language Processing, Machine Learning
 +
* Location: Worcester, Massachusetts, United States, 01605
 +
* Deadline: Until filled
 +
* Date Posted: March 26, 2014
 +
 
 +
 
 +
'''Job Description'''
 +
 
 +
We are seeking 1~2 highly motivated postdoctoral research associate to
 +
join the Biomedical Natural Language Processing (BioNLP) group at
 +
UMass Medical School and UMass Amherst. This position will primarily
 +
be located at the UMass Medical School in Worcester, MA. The BioNLP
 +
group is actively pursuing many exciting projects including:
 +
information retrieval, information extraction, summarization, question
 +
answering, data mining, and patient-centered research. A highly
 +
productive candidate may transition to a faculty position.
 +
 
 +
 
 +
'''Responsibilities'''
 +
 
 +
The successful candidates will help investigate new algorithms to
 +
support our current research thrusts. This will require extensive
 +
experience with data mining (DM) and natural language processing (NLP).
 +
 
 +
 
 +
'''Qualifications'''
 +
 
 +
Candidates for this position should have a PhD in Computer Science or
 +
related field and a significant research record including
 +
publications in top conferences and journals in:
  
−
▪ Natural language processing / computational linguistics background. Ideal: dialogue applications experience (in NLP not ASR),
+
* Natural Language Processing
 +
* Machine Learning
 +
* Data Mining or Data Analysis
  
−
▪ Substantial skills in processing corpora. Ideal: Java skills and standard statistical procedures.
+
Proficiency in quantitative analytical methods and strong programming
 +
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
 +
extensive research experience in hands-on machine learning (ML) and
 +
data mining (DM), is essential. Additional experience in
 +
bioinformatics or figure search and analysis is desirable.
  
−
▪ Ph.D. in computational linguistics or some equivalent in terms of experience in natural language processing or related areas.
+
Successful applicants will join a vibrant collaborative research
 +
environment, will work closely with clinical investigators and senior
 +
personnel in the lab, and should have the ability to work effectively
 +
both independently and as part of a multidisciplinary team. The
 +
position will be for one year, renewable annually, starting Summer or Fall 2014.
  
−
Skills and Experience:
 
  
−
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
'''How to Apply'''
  
−
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, RDF-style data, speech-language interfaces, information extraction, text classification, evaluation methodologies.
+
Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
 +
include a brief letter of introduction, a CV including list of
 +
publications in PDF format, and names and email addresses of 2-3 referees.
  
−
▪ Familiarity with existing data resources and tools: Wordnet, GATE, Nuance ASR, NLTK, Weka, and similar tools.
 
  
−
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+
'''Background'''
  
−
Apply to Yorick Wilks at: ywilks@ihmc.us
+
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
  
 +
Competitive Salary based on experience.
  
−
== NLP Research Scientist - Pacific Northwest National Laboratory ==
+
== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==
  
−
NLP Research Scientist wanted for work impacting National Security
+
* Employer: Educational Testing Service
−
Company: Pacific Northwest National Laboratory
+
* Title: Research Director NLP and Speech Processing
−
Job ID:  301731  http://www.jobs.pnnl.gov/
+
* Specialty: Natural Language Processing / Speech Processing
−
Location: PNNL - Richland, WA
+
* Location: Princeton, New Jersey, United States, 08541
−
Contact: jill.schroeder@pnnl.gov
+
* Deadline: Until filled
 +
* Date Posted: March 12, 2014
  
−
This position requires significant contributions to the development and evolvement of natural language processing research at PNNL. The incumbent will possess skills in both natural language processing and software design and development. Expertise in natural language processing should include one or more applications including, but not limited to, information extraction, knowledge base population, machine reading, sentiment analysis and social media analytics. Software development skills should include, but are not limited to, object oriented programming and development, data modeling, building demonstrable and functional prototypes, and contributing to deployment-ready software.
+
'''Job Description:'''
  
−
In carrying out these duties, the incumbent will be responsible for maintaining strategic alliances with specified clients, managing individual or small team assignments for multiple projects, performing assignments with minimal oversight, working effectively within interdisciplinary development teams, and contributing to proposals, publications and presentations.  
+
ETS (Educational Testing Service), is headquartered in Princeton, NJ. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.
  
−
Specific responsibilities include:
+
Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.
−
- apply computational linguistics approaches and algorithms
 
−
- contribute to the translation of client requests and needs into a set of project requirements and tasks
 
−
- contribute to software design
 
−
- construct functional applications and prototypes using PHP, Perl, Python and Java
 
−
- perform algorithmic development and implementation, especially as they pertain to NLP
 
−
- evaluate natural language processing methods and results
 
−
- develop client server and database aware applications
 
−
- design and implement graphical user interfaces
 
−
- develop on Linux and Windows environments
 
−
- effectively manage individual tasks, schedule, workload, budget, and deadlines
 
−
- contribute to technical presentations and demonstrations of designs, prototypes and operational software to existing and potential clients; group, division, and sector managers
 
−
- contribute to or lead efforts in publishing research
 
−
- help grow the natural language processing business portfolio through proposal writing and client engagement
 
  
 +
Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.
  
−
Responsibilities & Accountabilities:
+
In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.
  
−
This position reports to the Technical Group manager for Knowledge Discovery and Informatics within PNNL’s National Security Directorate, and is responsible for work activity as assigned by PNNL project managers for both internal and external clients. The incumbent is expected to develop knowledge of the goals of any projects to which they are assigned and the clients they support. The incumbent is expected to maintain a customer-service focus commensurate with this position.  
+
Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.
  
−
The incumbent normally receives task instructions from their project managers, which are performed with minimal oversight. The incumbent will work both as task lead, and as a staff member under the direction of project managers and senior software scientists. The incumbent will be expected to attend regular project meetings and KDI group meetings. The incumbent may also be expected to attend offsite team meetings with other team members, clients, and users.
+
'''Requirements:'''
  
−
A level II scientist contributes to the completion of project milestones by leading specific tasks of the project to meet scope, schedule and budget. Level II scientists are contributing professionals who are building a professional reputation for their technical expertise in NLP. They are expected to continue to develop their technical expertise and knowledge, and develop new skills.  In addition, strong contributions to the technical content of proposals will be made.  
+
To qualify, you must possess:
 +
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
 +
* Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
 +
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.
  
−
A level III scientist will lead small to moderate research projects, contribute to the completion of programs and projects, and mentor other staff members. Level III scientists will be skilled professionals able to apply existing NLP methods to new work and will maintain skills consistent with the state of the art in NLP.  Level III scientists will generate ideas for new proposals and lead the development of technical content for small to medium proposals, and will contribute to scoping, scheduling and budgeting for projects.  . 
+
'''How to Apply:'''
−
Minimum Requirements 
 
−
Level II:  
 
−
A Bachelor's degree with 2-3 years experience or a Master's degree with 0-2 years experience or a Ph.D. is required.  Expected to contribute professionally, building a professional reputation for technical expertise.  Fully applying and interpreting standard theories, principles, methods, tools and technologies.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States.
 
  
−
Level III:  
+
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
−
A Bachelor's degree with at least 5 years experience or a Master's degree with 3 years experience or a Ph.D. with 1-2 years experience is required. Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
 
−
Qualifications 
 
−
Professional Expertise: Expertise in NLP algorithm development and strong software design and development skills.  
 
  
−
Work-related Experience:  
+
'''Information about the institute:'''
−
- Demonstrated ability and willingness to perform as a team member on multiple projects simultaneously and work effectively in a fast-paced, dynamic team environment with high expectations for quality.
 
−
- Experience leading project teams in research, design and development a plus.
 
  
−
Breadth of Relevant Specialized Knowledge and Skills:
+
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.  
−
- Well-developed oral and written communication skills, including ability to convey complex technical information accurately.
 
−
- Above-average client interaction skills including the ability to quickly understand a client’s business needs and communicate at the proper level of detail
 
−
- Proficient in the use of Windows, Macintosh, and Linux environments 
 
−
Preferred Education/Credential 
 
−
A PhD in computational linguistics is preferred.  
 
  
−
Level II:
+
With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer
−
PhD in computational linguistics, natural language processing or related field within the last 5 years or Masters of Science in computer engineering, computer science or related field and 1+ years of experience in NLP within the last 5 years
 
  
−
Level III PREFERRED:
+
== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==
−
PhD in computational linguistics, natural language processing or related field and 1-2 years of experience in NLP within the last 5 years  or Masters of Science in computer engineering, computer science or related field and + years of experience in NLP within the last 5 years 
 
−
Equal Employment Opportunity 
 
−
Pacific Northwest National Laboratory (PNNL) is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace.  All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
 
−
Other Information 
 
−
This position requires the ability to obtain a federal security clearance in a timely manner.  Which requires: 
 
−
* US Citizenship
 
−
* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
 
−
* Drug Testing:  All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing.  In addition, applicants must be able to demonstrate non-use of illegal drugs for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
 
  
−
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs for 12 consecutive months can be demonstrated.
+
* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
 +
* Title: Research Intern
 +
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
 +
* Location: Darmstadt/Frankfurt am Main, Germany
 +
* Deadline: Until filled
 +
* Date Posted: January 20, 2014
 +
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de
  
−
== Faculty Positions (open rank) in multiple areas, particularly Biomedical NLP / Text Mining, The Ohio State University (Columbus, OH, USA) ==
+
'''Job Description:'''
−
* Employer: The Ohio State University, Dept. of Computer Science & Engineering and Dept. of Biomedical Informatics
 
−
* Rank or Title: Assistant, Associate, or Full Professor
 
−
* Specialty: Multiple openings, including targeted hire in Biomedical Natural Language Processing / Text Mining
 
−
* Location: Columbus, OH USA
 
−
* Deadline: Review of applications will begin in November and continue until the positions are filled
 
−
* Date Posted: August 30, 2012
 
−
* Contact email or link to website: http://www.cse.ohio-state.edu/department/positions.shtml
 
  
−
The Computer Science and Engineering Department at the Ohio State University seeks faculty candidates for multiple tenured or tenure-track appointments at the assistant, associate or full professor level. The department is slated for significant growth as part of a multi-year expansion in size and scope, including targeted faculty hires in core areas as well as in areas that bridge CS with other disciplines. The specific searches being conducted this year include:
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as  
  
−
* One targeted position, open rank, in the area of big data, broadly defined. These include, but are not limited to, applicants that have core training in databases, systems, data analytics, or cloud computing, with experience in managing and analyzing big data stores.
+
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
−
* One targeted position, open rank, in the area of cybersecurity, broadly defined. We are specifically interested in applicants with research interests in network security, physical layer/information theoretic security, cyberphysical systems, data privacy, cryptography, or programming language security.
 
−
* One targeted position, open rank, at the interface of computer science and mathematics broadly defined. We are specifically interested in researchers working in theoretical computer science, scientific computing, or complex systems.
 
−
* Multiple targeted positions, open rank, jointly searched with the Department of Biomedical Informatics. Priority consideration will be given to applicants whose research interests lie in the processing of biomedical text (e.g. NLP or text mining) as well as those interested in the multi-scale modeling and visualization of high-throughput and/or high-content molecular or image data. Outstanding applicants in other areas at the intersection of biology, clinical science, informatics, and computer science will also be considered.
 
−
* In addition to the above targeted searches the department is conducting a search for an additional position (open rank) that is open to all areas of computer science and engineering.
 
  
−
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
+
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)
  
−
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
+
The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.  
  
−
To apply, please submit your application via the online database. The link can be found at: https://www.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
+
The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.  
  
−
Review of applications will begin in November and will continue until the positions are filled.
+
'''Requirements:'''
  
−
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
+
We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.  
  
−
== Postdoctoral Position in Natural Language Processing in Academia Sinica (Taipei, Taiwan) ==
+
We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.
  
−
* Employer: Institute of Information Science, Academia Sinica
 
−
http://www.sinica.edu.tw
 
  
−
http://www.iis.sinica.edu.tw
+
'''How to Apply:'''
−
* PI: Lun-Wei Ku (Language Processing Group)
 
−
http://www.iis.sinica.edu.tw/pages/lwku/index_en.html
 
  
−
http://nlg18.csie.ntu.edu.tw:8080/lwku/lwku.html
+
Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.
  
−
* Rank or Title: Post Doctorial Researcher - Natural Language Processing
 
−
* Specialty: Computational Linguistics, Natural Language Processing, Information Retrieval, Machine Learning
 
−
* Location: Taipei, Taiwan
 
−
* Deadline: open until filled
 
−
* Date Posted: August 21st, 2012
 
−
* Start Date: before October, 2012 or after April, 2013
 
−
* Duration: 1+1+1 years
 
−
* Contact email: lwku@iis.sinica.edu.tw
 
  
−
'''REQUIRED'''  
+
'''Information about the institute:'''
  
−
Ph.D. in computational linguistics / natural language processing or related areas.  
+
The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.
  
−
Natural language processing / computational linguistics background.
 
−
Substantial skills in programming and processing large scale corpora.
 
  
−
Ideal: Java skills and standard statistical procedures.
+
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
  
−
'''SKILLS AND EXPERIENCE'''
+
* Employer: The German Institute for International Educational Research (DIPF)
−
+
* Title: Research Scientist
−
3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
−
Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies, sentiment analysis.
+
* Location: Frankfurt am Main, Germany
−
Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, SVMLight, Weka, and similar tools.
+
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
  
−
Ideal: with experience of interests in processing Asia language (ex. Chinese)
+
'''Information about the institute:'''
  
−
'''PAYMENT'''
+
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
−
 
−
Around 1900~2000 USD/Month, depends on the currency rate.
 
−
 
−
'''HOW TO APPLY'''
 
  
−
Apply to Lun-Wei Ku at: lwku@iis.sinica.edu.tw. Please provide your CV, publication list and contact information.  
+
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.
  
−
Please also note the date you wish to start the job, and send your documents at your earliest convenience so we can review them asap.
 
  
 +
'''Job Description:'''
  
 +
At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an
  
−
== Two Postdoctoral Positions in Natural Language Processing at the Sapienza University of Rome ==
+
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
−
* Employer: Sapienza University of Rome
 
−
* Location: Rome, Italy
 
−
* Deadline: open until filled
 
−
* Date Posted: 16th August 2012
 
−
* Starting date: fall/winter 2012
 
−
* Duration: 1+1+1 years
 
−
* Salary: 30000-45000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month).
 
−
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
 
  
−
Two positions of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing are open in the Department of Computer Science of the Sapienza University of Rome. The positions are part of a 5-year ERC Starting Grant funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidates will participate in a frontier research project on multilingual lexical semantics and will work in a stimulating environment of a leading and highly-active research team including 2 faculty members, 1 postdoc and 6 Ph.D. students.
+
The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in  textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).  
  
−
'''REQUIREMENTS/QUALIFICATIONS'''
+
The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.
  
−
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
+
The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for  the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).
−
* Strong publication record in Computational Linguistics/Natural Language Processing (see below).
 
−
* Willingness to coordinate and supervise part of the research work of the ERC project.
 
−
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
 
−
* Fluent English. Knowledge of Italian is NOT a requirement.
 
−
* Solid programming skills: Java and practical expertise with standard NLP tools are required, knowledge of Perl/Python is a plus.
 
  
−
Experience in research project management is a plus.
+
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
  
−
'''SPECIFIC REQUIREMENTS'''
+
Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
  
−
* POSITION #1 (LCL1-2012): research record in computational lexical semantics, large-scale knowledge acquisition and validation, open information extraction, or data-intensive machine learning
+
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
−
* POSITION #2 (LCL2-2012): research record in statistical machine translation, unsupervised acquisition of bilingual/multilingual lexicons, or cross-lingual methods for NLP
 
  
−
'''HOW TO APPLY'''
+
'''Requirements:'''
  
−
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL1-2012 or LCL2-2012) in the subject line.
+
* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
 +
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
 +
* Very good English language skills (written and spoken) and at least basic knowledge of German;
 +
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;
  
−
'''ABOUT SAPIENZA'''
+
Experience in automated language processing, text mining or digital humanities is preferred.
  
−
The University of Rome "La Sapienza" is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at Sapienza. The Sapienza University is an equal opportunity employer.
+
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.  
  
−
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
 
  
−
The [http://w3.uniroma1.it/dipinfo/english/index.asp Department of Computer Science] is a modern and well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated in a nice lively area with lots of cafes, bars, restaurants, and at walking distance from the city centre. Prominent candidates must not be afraid of the language barrier, as Italians are in general very friendly.
+
'''How to apply:'''
  
−
== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==
+
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
  
−
'''Curata, Inc.'''
 
−
Curata, Inc. provides easy-to-use marketing solutions for content curation and content marketing. Curata's product, Curata, allows marketers to easily find, organize and share content on specific issues or topics in order to establish thought leadership, own industry conversations and drive qualified web traffic. Curata was founded in 2007 and is headquartered in Cambridge, Massachusetts. For more information, visit www.curata.com.
 
  
−
'''Role Description'''
 
−
We are looking for an individual who enjoys building and shipping code as an engineer, first and foremost, but also enjoys prototyping new product ideas leveraging natural language processing, information retrieval, and machine learning skills. You are a fit if you enjoy experimenting with a large text corpus, innovating new product concepts, and ultimately packaging and shipping your work.
 
  
−
In the past two years, our customer base, comprising of marketing, information services, and knowledge management professionals, have curated millions of pieces of content through our complex content procurement and processing pipeline. We release new code many times a day, and have fun continually optimizing and enhancing our product. As a start-up, we need someone who can match the high energy and enthusiasm of our team.
+
== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
  
−
Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.
+
* Employer: The German Institute for International Educational Research (DIPF)
 +
* Title: Research Scientist
 +
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
 +
* Location: Frankfurt am Main, Germany
 +
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
  
−
'''Responsibilities'''
+
'''Information about the institute:'''
 +
 
 +
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 +
 
 +
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.
 +
 
 +
'''Job Description:'''
 +
 
 +
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
 +
 
 +
* Research Scientist (two-year contract, full time, EG13 TV-H*)
 +
 
 +
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
 +
 
 +
 
 +
The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013  at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education.  The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.
 +
 
 +
The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.
 +
 
 +
The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
 +
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management. 
 +
 
 +
A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 +
 
 +
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 +
 
 +
 
 +
'''Requirements:'''
 +
 
 +
- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
 +
- Very good English language skills (written and spoken) and at least basic skills in German;
 +
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
 +
- Experience in coordinating distributed software development and its Integration;
 +
- Experience in conceptualising and conducting events for scientists, users, and the public.
 +
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.
 +
 
 +
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
 +
 
 +
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 +
 
 +
 
 +
'''How to apply:'''
 +
 
 +
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 +
 
 +
 
 +
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
 +
 
 +
* Employer: Institute of Information Science, Academia Sinica
 +
* Rank or Title: Assistant/Associate/Full Research Fellow
 +
* Specialty: Chinese Natural Language Processing and Knowledge Representation
 +
* Location: Taipei, Taiwan
 +
* Deadline: Open until filled
 +
* Date Posted: January 7, 2014
 +
* Contact email: recruit@iis.sinica.edu.tw
 +
 
 +
'''Job Description:'''
 +
 
 +
The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.
 +
 
 +
Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.
 +
 
 +
Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.
 +
 
 +
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
 +
 
 +
'''Required Qualifications:'''
 +
 
 +
All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.
 +
 
 +
Fluency in Chinese is an advantage, but not required.
 +
 
 +
'''How to Apply:'''
 +
 
 +
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
 +
 
 +
Dr. Wen-Lian Hsu, Director
 +
 
 +
Institute of Information Science
 +
 
 +
Academia Sinica
 +
 
 +
Nankang 115, Taipei, Taiwan
 +
 
 +
TEL: 886-2-2788-3799ext.1804
 +
 
 +
FAX:886-2-2782-4814
 +
 
 +
E-mail: recruit@iis.sinica.edu.tw
 +
 
 +
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
 +
 
 +
* Employer: Johns Hopkins University
 +
* Rank or Title: Postdoctoral Fellow
 +
* Specialty: Computational Linguistics/Cognitive Science
 +
* Location: Baltimore, MD, USA
 +
* Deadline: February 17, 2014 or until filled
 +
* Date Posted: January 7, 2014
 +
* Contact email: INSPIREpostdoc@jhu.edu
  
−
* Prototyping concepts and working with engineering team to see them through deployment.
+
'''Brief Job Description:'''
−
* Suggesting new product concepts.
 
−
* Optimizing machine learning algorithms through iterative experimentation and parameter tuning.
 
−
* Architect, build and maintain flexible and highly scalable web applications
 
−
* Participate in the full engineering life cycle from design through implementation and deployment.
 
−
* Think in terms of the end-user and design accordingly
 
−
* Actively contribute to product design and feature selection discussions
 
  
−
'''Preferred Skills and Experience'''
+
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.  
−
* Significant research experience with natural language processing (NLP), information retrieval, machine learning or related fields.
 
−
* Strong software development skills, preferably with web applications.
 
−
* Versatile attitude towards technology -- ready and willing to learn and grow on the job.
 
  
−
'''Location:''' Kendall Square, Cambridge, MA / Boston
+
The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.
  
−
'''Type:''' Full-Time
+
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
  
−
'''Contact:''' engmgt.jobs@curata.com
+
'''Detailed Job Description:'''
  
−
== Research Fellowship at University of Aberdeen ==
+
The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.
  
−
* Employer: University of Aberdeen
+
The ideal appointee will conduct development and extensive testing of:
−
* Job Title: Research Fellow in Natural Language Generation
 
−
* Location: Aberdeen, UK
 
−
* Deadline: 23rd July 2012
 
−
* Date Posted: 11th July 2012
 
−
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664
 
−
* Contact email: c.mellish@abdn.ac.uk
 
  
−
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to do research on natural language generation in the MIME project. MIME (see http://www.dotrural.ac.uk/mime/ ) investigates ways to underpin reconfigured rural emergency response services, by examining how technology could support responders to incidents such as road accidents. It is exploring the use of networked monitors to support decision making and information management in the management of casualties and the automatic generation of handover reports from responders when more expert help arrives.
+
* general-purpose software to support symbolic-level computation over gradient symbol structures
−
The successful candidate will have a good knowledge of natural language processing techniques in general (at the postgraduate level) and preferably some practical experience with NLG. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering.
 
  
−
This post is funded by the EPSRC and it is anticipated that the project activities will be completed within 9 months of the agreed start date. This appointment will be made subject to the usual terms and conditions of employment of the University.
+
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
  
−
== Executive Director at University of Maryland ==
+
* new machine-learning algorithms, including deep compositional networks
  
−
** Employer:  University of Maryland, Center for Advanced Study of Language (CASL)
+
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
−
** Title:  Executive Director
 
−
** Location:  College Park, MD
 
−
** Deadline:  Open until filled
 
−
** Date Posted:  July 2, 2012
 
−
** Link to website:  http://jobs.umd.edu/applicants/Central?quickFind=57086
 
−
** Contact email:  tswallst@umd.edu
 
  
−
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.
+
* new psycholinguistic models of human syntactic production and comprehension processes
  
−
'''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.  
+
Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.  
  
−
'''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.
+
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
  
−
'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''  
+
'''How to Apply:'''
  
−
'''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
+
Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.
  
−
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.
+
Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.

Revision as of 09:26, 23 October 2014

Post-doctoral position at McMaster University, Canada

  • Employer: McMaster University
  • Title: Postdoctoral Fellow
  • Specialty: natural language processing, sentiment analysis, computational linguistics.
  • Location: Hamilton, Ontario, Canada
  • Deadline: December 20, 2014
  • Date Posted: October 23, 2014
  • Website: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf

Applications are solicited for a postdoctoral fellowship in the Cognitive Science of Language graduate program at McMaster University for the topic of developing psychologically grounded tools for sentiment analysis. Applicants would have their primary affiliation and work location in the Department of Linguistics and Languages at McMaster University, and will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. You will be expected to participate in a research program that explores individual and group (gender, age) variability in perception and regulation of emotion.

Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.

Please see the following web page for further details and the application procedure: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf


Post-doc in Bio-NLP Social Media Mining for Adverse Drug Reactions

  • Employer: University of Liverpool
  • Title: Postdoctoral Research Associate
  • Specialty: Bio-NLP, Natural Language Processing, Social Media Mining, Web Mining
  • Location: Liverpool, United Kingdom
  • Deadline: November 14, 2014 17:00 GMT
  • Date Posted: October 23, 2014


You will work on the IMI project, WEB-RADR. This is a highly innovative project involving collaboration across the EU and with researchers in the USA which will evaluate the use of social media in identifying adverse reactions to drugs. You will be working between two Faculties (Science & Engineering, and Health & Life Sciences) and the project will be inherently inter-disciplinary. Practical experience of software development, and good knowledge of Bio-NLP tasks such as NER, text classification, and social media analysis are essential to the role. You should have a PhD Level in NLP, Data/Web/Text Mining, or Machine Learning. The post is available until 31 August 2017.

Please see the following web page for further details including job specifications and application form. http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-586752/

Tenure-track Faculty Position at University of Michigan School of Information

  • Employer: University of Michigan
  • Title: Assistant Professor
  • Specialty: Information Analysis and Retrieval
  • Location: Ann Arbor, Michigan, USA
  • Deadline: November 15, 2014 preferred
  • Date Posted: October 22, 2014

https://www.si.umich.edu/prospective-faculty/position-call-information-analysis-retrieval

The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or “big data.” While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Applications of particular interest include, but are not limited to, scientific and health data analysis, text analysis, social media analysis and digital humanities.

The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.

The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students. We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), and a Bachelor of Science in Information.

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion.

Qualifications:

  • Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval
  • Demonstrated potential and strong commitment to successful teaching at the undergraduate and graduate level
  • Demonstrated potential for high scholarly impact
  • A strong commitment to connecting information, technology, and people that values interdisciplinary research, and cultural diversity

Review of applications will begin on November 15, 2014 and will continue until the position is filled. For questions about potential fit and your application please contact Dr. Qiaozhu Mei (qmei@umich.edu).

Application materials required: cover letter, curriculum vitae (CV), research statement, teaching statement, three representative publications, and contact information for three references. For more information or to apply, please visit http://apply.interfolio.com/27182.

In addition to this position, the UMSI is also looking for applicants in the area of human-computer interaction, communication and technology, and health informatics.


Asst/Assc/Full Professor, Ames, Iowa

  • Employer: Iowa State University
  • Title: Assistant, Associate, or Full Professor
  • Specialty: Natural Language Processing
  • Location: Ames, Iowa, USA
  • Deadline: December 3, 2014
  • Date Posted: October 21, 2014

Iowa State University has launched the Presidential High Impact Hires Initiative to support targeted faculty hiring in areas of strategic importance. As part of the initiative, the Department of English and the College of Liberal Arts and Sciences invite applications for an Assistant, Associate, or Full Professor in natural language processing with an emphasis in educational applications, particularly analysis of students’ linguistic production. At the undergraduate level, the selected faculty will teach basic courses in English and Linguistics, and at the graduate level, courses in Applied Linguistics and Technology and in Human-Computer Interaction. Potential graduate course content includes programming for NLP, computational analysis of English, statistical analysis of language, discourse analysis, second language acquisition, sentiment analysis, language-based analytics, speech-driven user interfaces or automated content analysis, according to specialty. Research areas of particular interest are pedagogical applications of natural language processing, assessment of learners’ developing language ability, second language acquisition, statistical approaches to the study of language, and the analysis of discipline-specific language. The position begins August 2015.

The Applied Linguistics and Technology and the Human-Computer Interaction programs attract forward-looking students, who create an exciting intellectual environment. The programs are part of the Department of English, which offers BA degree programs in English, Literature, Rhetorical Studies, and Speech Communication; a BS degree in Technical Communication; as well as—in partnership with the Department of World Languages and Cultures—a minor in World Film Studies. On the graduate level, the department offers MA degrees in Literature; Rhetoric, Composition, and Professional Communication; TESL/Applied Linguistics; as well as an MFA program in Creative Writing and the Environment. The department also offers two PhD programs in Applied Linguistics and Technology and Rhetoric and Professional Communication. The Department of English is committed to diversity among faculty, staff and students who can enrich University objectives in the areas of research, teaching, and service. For more information, see http://www.engl.iastate.edu/.

Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 34,000 students are enrolled, and served by over 6,100 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted second best most livable small city in the nation (see www.amescvb.com).

Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.

All faculty members are expected to exhibit and convey good citizenship within the program, the department, college, and university activities and collegial interactions, and maintain the highest standards of integrity and ethical behavior.

A PhD by time of appointment in computational linguistics, natural language processing, or related field for all ranks. Assistant Professor, tenure-track- The potential for excellence in research and effectiveness in teaching; Associate Professor – A demonstrated record of accomplishments in scholarship, including an outstanding publication record, demonstrated ability to obtain research funding and effectiveness in teaching; Full Professor – A demonstrated record of intellectual leadership through high-impact scholarship, including an outstanding publication record, program of funded research and effectiveness in teaching. Language teaching experience and language assessment experience preferred.

Please apply for this position through the Iowa State University website at www.iastatejobs.com (Posting #400050) or by visiting http://www.iastatejobs.com/postings/7815 and click on "Apply to this Job". Please be prepared to enter or attach the following: a letter of application/cover letter, curriculum vitae, statement of teaching/research interests, transcript or list of graduate courses taken, and contact information for three references. Priority consideration will be given to applications received by December 3, 2014.

Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status, and will not be discriminated against. Inquiries can be directed to the Director of Equal Opportunity, 3350 Beardshear Hall, (515) 294-7612.


Computational Linguist, Wrocław, Poland

  • Employer: Wrocław University of Technology
  • Title: Computational Linguist
  • Specialty: Natural Language Engineering, Computational Linguistics
  • Location: Wrocław, Poland/other
  • Deadline: until filled
  • Date Posted: October 15, 2014


Team

The academic group G4.19 brings together those interested in linguistics, computational linguistics, and natural language engineering. The Group develops and implements tools for natural language processing. The main focus is on the development of basic tools and language resources for Polish. The Group participates in a number of research projects, among others it coordinates the CLARIN-PL project: http://www.clarin-pl.eu.

Job description

  • designing algorithms for the analysis of natural language texts, based on the combination of linguistic knowledge and methods of artificial intelligence (including machine learning, rule-based methods and methods of statistical analysis),
  • developing computer systems related to natural language processing and coordinating the work of small teams of programmers (conducting test and research experiments),
  • active participation in the ongoing research projects (planning and realisation of experiments , data processing, realisation of dedicated research tasks of varying complexity),
  • active participation in preparing applications for new research grants,
  • active participation in writing research papers.

Requirements

  • enthusiastic approach to research and development of language technology for Polish,
  • good knowledge of at least one of the languages: C ++, Python or Java,
  • very welcome good knowledge of Polish,
  • knowledge of English sufficient for reading scientific publications and technical documentation,
  • welcome knowledge of Linux, Git, UML,
  • the preferred candidates should hold PhD degree in computer science, but we do not exclude candidates holding PhD degree in a different field or those at the advanced stage of work on their PhD.

We offer

  • participation in large research projects at national and international level,
  • good basis for a scientific career and an opportunity of writing a dissertation,
  • for PhD students: possibility of employment on a research assistant post,
  • choice of form of employment (contract or other),
  • attractive salary (in terms of market, not university wages),
  • interesting job in a dynamic team,
  • flexible working hours,
  • flexible working time.

If interested, please send your CV and list of publications to: clarin-pl@pwr.edu.pl

The application must include a statement: "I hereby agree for processing my personal data for the purpose of the recruitment process (in accordance with Personal Data Protection Act dated 29.08.1997, Journal of Laws of the Republic of Poland No. 133, item 883)."

We kindly inform you that we will contact selected candidates only.


Language Processing, Edinburgh, Scotland

  • Employer: Daxtra Technologies (http://www.daxtra.com)
  • Title: Research Application Developer
  • Specialty: Natural Language Processing
  • Location: Musselburgh, nr Edinburgh, Scotland
  • Deadline: until filled
  • Date Posted: October 10, 2014


Job Description:

Daxtra Technologies are looking for people with a background in applied language/text processing to join the R&D team in Edinburgh. Daxtra (a spin-out from the University of Edinburgh) is the leading provider of Natural Language Processing techniques

You will be involved in multilingual grammar engineering, development of statistical text classifiers and search/retrieval components. Apart from a strong background in text processing you will need to demonstrate good experience in computer programming.


Location:

Daxtra Technologies headquarters in Musselburgh, nr Edinburgh, Scotland


How to Apply:

For further details or to send us your CV/resume, please contact a.nazarov@daxtra.com


Computational Linguists

  • Employer: The Lingua Team
  • Title: Computational Linguist
  • Specialty: Natural Language Processing
  • Location: Seattle or remotely
  • Deadline: ASAP
  • Date Posted: September 22, 2014

Description: We are looking for several candidates (one for each of the languages advertised) with an advanced degree in Linguistics, or with Computational linguist background. The projects involve morphology tagging and/or linguistic analysis, but they can be done remotely. Languages: French, German, Spanish, US English, Japanese, Brazilian Portuguese, Finnish, or Polish. Please, provide a resume with your email application.

Qualifications:

  • Computational Linguistics and/or advanced Linguistics degree
  • Experience drafting grammars or adapting an existing grammar to a second language
  • Programming experience desirable
  • Full understanding of inflectional and derivational morphology, POS, lemmatization, etc.

Location: Seattle, WA or remote

How to Apply: Send your resume to info@thelinguateam.com

Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL

  • Employer: Toyota Technological Institute at Chicago
  • Title: Visiting student researcher
  • Specialty: Machine learning, NLP, speech
  • Location: Chicago, IL, United States, 60637
  • Deadline: Until filled
  • Date Posted: Sept 10, 2014


Job Description

Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.


The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).


The target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.


Responsibilities

The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.


Qualifications

Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.


How to Apply

Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:

  • brief cover letter, describing your interest in and qualifications for the position
  • curriculum vitae including publication list
  • two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)

Please see http://ttic.edu/bansal/slu-job.html for more information.


NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA

  • Employer: Civis Analytics
  • Title: Data Scientist
  • Specialty: Natural Language Processing / Speech Processing / Machine Learning
  • Location: Chicago, Illinois, USA
  • Deadline: Rolling
  • Date Posted: July 7, 2014

Who We Are:

Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”

Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems. We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.

We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.

We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.

We are smart, fun, and a little bit weird. Does this sound like you?

Job Description:

The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.

With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.

We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

Minimum Qualifications:

  • Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
  • Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
  • Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
  • Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
  • Experience with SQL databases
  • Strong programming skills
  • Experience identifying and correcting for problems in imperfect data
  • An ability and eagerness to constantly learn and teach others

Preferred Qualifications:

  • PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
  • Ability to expand upon modern statistical learning methods
  • Significant work experience in applying the methodology of one or more unstructured data analysis fields
  • High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
  • Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
  • Theoretical understanding sufficient to independently implement complex neural network architectures

Location:

This posting is for a position in Civis’ Chicago headquarters.

Dates:

We are hiring for multiple positions and will evaluate candidates as applications are received.

How to Apply:

Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il. Specific inquiries may be directed to Derrick Higgins: dhiggins@civisanalytics.com.


Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France

  • Employer: Aix-Marseille University
  • Title: Postdoc
  • Specialty: Natural Language Processing
  • Location: Luminy, Marseille, France
  • Deadline: July 1st, 2014
  • Date Posted: June 12, 2014

Job Description:

We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You will contribute to conversation analysis summarization research to allow the exploitation of large quantity of comments in social media and spoken conversations.

You will contribute to the design and development of speech and text summarization technologies for conversational data such as social media comments and tweets. There will be three components to the system: linguistic analysis of the conversations, content selection and aggregation, and generation of the summaries (text or other media). The approach is expected to make use of recent machine learning advances such as deep learning, and focus on limiting the quantity of supervision needed. The prototype will be evaluated by end-user professionals in ecological conditions.

Qualifications:

The applicant must hold a PhD degree, preferably in the field of natural language processing or machine learning. He/she should:

  • Be proficient in one of Java / C++ programming and python or php scripting
  • Have experience with developing efficient NLP / machine learning systems.
  • Be keen on researching the literature and writing papers
  • Enjoy team work and be autonomous

Location:

You will work at the LIF computer science lab at Aix-Marseille University in France, at the Luminy campus next to the calanques.

Dates:

Interviews will be held in July 2014, the Postdoc will start in september / october 2014 and last one year.

How to Apply:

Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr

Executive Director / CLARIN ERIC / Utrecht University, the Netherlands

  • Employer: CLARIN ERIC through Utrecht University
  • Title: Executive Director
  • Specialty: Research Infrastructures
  • Location: Utrecht University, the Netherlands
  • Deadline: August 15, 2014
  • Date Posted: June 10, 2014

Job Description:

CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.

As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.

The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.

Responsibilities:

  • Leading the Board of Directors of the CLARIN ERIC
  • Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
  • Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
  • Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
  • Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
  • Leading the international fundraising efforts for CLARIN
  • Monitoring and measuring CLARIN’s activities and reporting to General Assembly
  • Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
  • Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
  • Planning, organizing, and managing the main office in Utrecht, which includes recruitment
  • Facilitating and supporting the operation of CLARIN’s governance bodies

Qualifications:

  • A higher university degree or equivalent qualifications and an international interdisciplinary network
  • Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
  • An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
  • Excellent communicative skills
  • A proven fundraising record
  • A record of relevant academic excellence
  • The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies

How to Apply

For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director


Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California

  • Employer: Bosch Research & Technology Center
  • Title: Research Scientist in Natural Language Technologies (PhD)
  • Specialty: Natural Language Processing
  • Location: Palo Alto, California, United States, 94304
  • Deadline: Until filled
  • Date Posted: May 19, 2014

Job Description:

The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers. We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.

To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.

Responsibilities:

  • Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
  • Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
  • Communicate with business departments about the technology potentials as well as identify potential areas of business values.


Qualifications:

  • Ph.D. in Computer Science or related fields
  • Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
  • Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
  • Strong skills in coding (C/C++ or Java), algorithms and system design
  • Very good communication skill together with good quality publication
  • Experience in text summarization research and development is a plus
  • Experience in large system development and speech technology is a plus


How to Apply

For more information, and to apply online, please visit http://bit.ly/1k8UZ57


Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL

  • Employer: Toyota Technological Institute at Chicago
  • Title: Post-doctoral scholar
  • Specialty: Machine learning, NLP, computer vision, speech
  • Location: Chicago, IL, United States, 60637
  • Deadline: Until filled
  • Date Posted: May 12, 2014


Job Description

Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.


The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.


The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan. The position will remain open until filled.


Responsibilities

The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.


Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.


Qualifications

Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field. There are no citizenship requirements.


How to Apply

Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:

  • brief cover letter, describing your interest in and qualifications for the position
  • curriculum vitae including publication list
  • contact information for two or more researchers who can provide letters of reference

Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.

Postdoctoral Fellow / INRIA / Saclay

  • Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
  • Title: PostDoc (12 months)
  • Specialty: Natural Language Processing
  • Location: Palaiseau, Ile-de-France, France
  • Deadline: June 30, 2014
  • Date Posted: May 6, 2014


Job Description

The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.

Duties

Reporting to the Dr. Gregory Grefenstette, your typical duties will include the following:

  • Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
  • Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
  • Discover and adapt existing open data taxonomies to the platform;
  • Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources


Required Qualifications

The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer science, computational linguistics or a related discipline.

  • Experience with natural language processing (e.g., Stanford Parser)
  • Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
  • Experience with classification algorithms
  • Familiarity with dealing with large, noisy data sets
  • Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
  • Desire to produce functioning end-to-end systems, life-scale live demos
  • Scientific rigour
  • Imagination

How to Apply

Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242

Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.

About Us

Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..

For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014

Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre

  • Employer: University of British Columbia and BC Cancer Agency
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Vancouver, British Columbia, Canada
  • Deadline: Until filled
  • Date Posted: March 26, 2014

Job Description

The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics Technology Lab to conduct scientific research in the areas of bioinformatics and genomics, specifically related to automated analysis and annotation of cancer research literature.

The successful applicant will work with trainees and research scientists in a team that develops tools for a clinical genomics pipeline based on primary sequence analysis, to build natural language processing and machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.

Duties

Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your typical duties will include the following:

  • Building natural language processing and machine learning tools for automated literature survey
  • Analysis and annotation of data from genomics studies as they relate to the literature
  • Collaborating with biologists and clinical researchers on the accuracy of the results
  • Reporting research methods and results in meetings, seminars and conferences
  • Contribution to and leading scientific publications and research proposals

Required Qualifications

The ideal candidate should possess a PhD degree and recent proven experience in computer science, electrical engineering or a related discipline. A strong publication record in the field, and demonstrated technical writing skills are highly desirable. Prior research experience in bioinformatics is also desirable, but not required.

More experienced candidates will be considered for a Staff Scientist position, pending successful funding.

How to Apply

Please send your resume with cover letter to bcgscjobs@bcgsc.ca We request that you specify the position you are applying for by identifying the Job Code only ("PDFBTL 14-03-27") in the subject line of your emailed application.

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

About Us

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA

  • Employer: University of Massachusetts Medical School
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Worcester, Massachusetts, United States, 01605
  • Deadline: Until filled
  • Date Posted: March 26, 2014


Job Description

We are seeking 1~2 highly motivated postdoctoral research associate to join the Biomedical Natural Language Processing (BioNLP) group at UMass Medical School and UMass Amherst. This position will primarily be located at the UMass Medical School in Worcester, MA. The BioNLP group is actively pursuing many exciting projects including: information retrieval, information extraction, summarization, question answering, data mining, and patient-centered research. A highly productive candidate may transition to a faculty position.


Responsibilities

The successful candidates will help investigate new algorithms to support our current research thrusts. This will require extensive experience with data mining (DM) and natural language processing (NLP).


Qualifications

Candidates for this position should have a PhD in Computer Science or related field and a significant research record including publications in top conferences and journals in:

  • Natural Language Processing
  • Machine Learning
  • Data Mining or Data Analysis

Proficiency in quantitative analytical methods and strong programming skills (e.g., python, matlab, java, C/C++, weka, etc.), along with extensive research experience in hands-on machine learning (ML) and data mining (DM), is essential. Additional experience in bioinformatics or figure search and analysis is desirable.

Successful applicants will join a vibrant collaborative research environment, will work closely with clinical investigators and senior personnel in the lab, and should have the ability to work effectively both independently and as part of a multidisciplinary team. The position will be for one year, renewable annually, starting Summer or Fall 2014.


How to Apply

Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and include a brief letter of introduction, a CV including list of publications in PDF format, and names and email addresses of 2-3 referees.


Background

Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.

Competitive Salary based on experience.

Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey

  • Employer: Educational Testing Service
  • Title: Research Director NLP and Speech Processing
  • Specialty: Natural Language Processing / Speech Processing
  • Location: Princeton, New Jersey, United States, 08541
  • Deadline: Until filled
  • Date Posted: March 12, 2014

Job Description:

ETS (Educational Testing Service), is headquartered in Princeton, NJ. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.

Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.

Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.

In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.

Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.

Requirements:

To qualify, you must possess:

  • A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
  • Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
  • Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.

How to Apply:

Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538

Information about the institute:

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.

With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer

Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

  • Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
  • Title: Research Intern
  • Specialty: Natural Language Processing / Text Mining / Digital Humanities
  • Location: Darmstadt/Frankfurt am Main, Germany
  • Deadline: Until filled
  • Date Posted: January 20, 2014
  • Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de

Job Description:

The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as

  • Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)

The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.

The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.

Requirements:

We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.

We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.


How to Apply:

Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.


Information about the institute:

The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.


Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: Automated Language Processing / Text Mining / Digital Humanities
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.


Job Description:

At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an

  • Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)

The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).

The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.

The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).

We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).

Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time. 

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

Requirements:

  • Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
  • Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
  • Very good English language skills (written and spoken) and at least basic knowledge of German;
  • Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;

Experience in automated language processing, text mining or digital humanities is preferred.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: scientific coordination and transfer in computer science, knowledge and language processing
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.

Job Description:

At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a

  • Research Scientist (two-year contract, full time, EG13 TV-H*)

for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.


The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013 at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education. The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.

The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.

The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web. We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.

A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time. 

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)


Requirements:

- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain; - Very good English language skills (written and spoken) and at least basic skills in German; - Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate; - Experience in coordinating distributed software development and its Integration; - Experience in conceptualising and conducting events for scientists, users, and the public. - Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.

Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan

  • Employer: Institute of Information Science, Academia Sinica
  • Rank or Title: Assistant/Associate/Full Research Fellow
  • Specialty: Chinese Natural Language Processing and Knowledge Representation
  • Location: Taipei, Taiwan
  • Deadline: Open until filled
  • Date Posted: January 7, 2014
  • Contact email: recruit@iis.sinica.edu.tw

Job Description:

The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.

Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.

Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.

For additional information about IIS, please visit http://www.iis.sinica.edu.tw

Required Qualifications:

All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.

Fluency in Chinese is an advantage, but not required.

How to Apply:

All candidates should send detailed curriculum vitae, and at least three letters of recommendation to

Dr. Wen-Lian Hsu, Director

Institute of Information Science

Academia Sinica

Nankang 115, Taipei, Taiwan

TEL: 886-2-2788-3799ext.1804

FAX:886-2-2782-4814

E-mail: recruit@iis.sinica.edu.tw

Computational Postdoc position, Johns Hopkins University, Cognitive Science

  • Employer: Johns Hopkins University
  • Rank or Title: Postdoctoral Fellow
  • Specialty: Computational Linguistics/Cognitive Science
  • Location: Baltimore, MD, USA
  • Deadline: February 17, 2014 or until filled
  • Date Posted: January 7, 2014
  • Contact email: INSPIREpostdoc@jhu.edu

Brief Job Description:

Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.

The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.

Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics

Detailed Job Description:

The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.

The ideal appointee will conduct development and extensive testing of:

  • general-purpose software to support symbolic-level computation over gradient symbol structures
  • general-purpose software for simulating neural network implementations of this gradient symbolic computation
  • new machine-learning algorithms, including deep compositional networks
  • new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  • new psycholinguistic models of human syntactic production and comprehension processes

Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.

The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.

How to Apply:

Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.

Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.

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