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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:
** [[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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== Postdoctoral Fellow, Bioinformatics Technology Lab, BC Genome Sciences Centre ==
+
== 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
  
* Employer: British Columbia Cancer Agency
+
'''Job Description'''
* Rank or Title: Postdoctoral Fellow
+
* Specialty: natural language processing, machine learning
+
* Location: Vancouver, BC, Canada
+
* Deadline: Open until filled
+
* Date Posted: November 18, 2013
+
* Contact email:  bcgscjobs@bcgsc.ca
+
  
'''Brief 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 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.  
  
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 machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.
+
'''Duties'''
  
'''Duties:'''
+
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
 +
typical duties will include the following:  
  
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
  
• Building machine learning tools for automated literature survey
+
'''Required Qualifications'''
  
• Analysis and annotation of data from genome and transcriptome sequencing projects
+
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.
  
• Collaborating with biologists and clinical researchers on the accuracy of the results
+
More experienced candidates will be considered for a Staff Scientist position, pending
 +
successful funding.
  
• Reporting research methods and results in meetings, seminars and conferences
+
'''How to Apply'''
  
• Contribution to and leading scientific publications and research proposals
+
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.
  
Work may also involve travel to the research and development labs of a US corporation, not to exceed three months a year.
+
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
 +
residents will be given priority.  
  
'''Required Qualifications:'''
+
'''About Us'''
  
The ideal candidate should possess a PhD degree and recent proven experience in bioinformatics or computer science. A strong publication record in the field, and demonstrated technical writing skills are highly desirable.
+
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  
'''How to Apply:'''
+
health through disease prevention, diagnosis and therapeutic approaches, and to realize the  
 
+
social and economic benefits of genomics research.  
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 13-11-01") 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
 
For more information, please visit www.bcgsc.ca
  
== Graduate Studentship, Bioinformatics Technology Lab, BC Genome Sciences Centre  ==
+
== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
 
+
* Employer: University of Massachusetts Medical School
* Employer: British Columbia Cancer Agency
+
* Title: PostDoc
* Rank or Title: Graduate Student
+
* Specialty: Natural Language Processing, Machine Learning
* Specialty: natural language processing, machine learning
+
* Location: Worcester, Massachusetts, United States, 01605
* Location: Vancouver, BC, Canada
+
* Deadline: Until filled
* Deadline: Open until filled
+
* Date Posted: March 26, 2014
* Date Posted: November 18, 2013
+
* Contact email:  ibirol@bcgsc.ca
+
 
+
'''Brief Description:'''
+
 
+
Bioinformatics Technology Lab at the Genome Sciences Centre is seeking graduate students at the Masters and PhD levels.
+
Under the supervision of Dr. Inanc Birol, students will work with other trainees and research scientists in a group environment to develop cutting-edge bioinformatics technologies for high throughput sequence analysis, de novo assembly, clinical genomics, big data visualization, and automated literature search and interpretation.
+
 
+
'''Required Qualifications:'''
+
 
+
If you have any combination of the following skills, and a passion to apply them at a state-of-the-art genome centre, we would be interested in you.
+
 
+
• Sophisticated programming skills (C++ and Python preferred)
+
 
+
• Parallel computation expertise (MPI or MP)
+
 
+
• Strong natural language processing background (familiarity with argumentation frameworks an asset)
+
 
+
• Experience with de novo assembly tools (ABySS and Trans-ABySS preferred)
+
 
+
• Graph theory background
+
 
+
• Database development and administration experience (PostgreSQL or MySQL)
+
 
+
'''How to Apply:'''
+
 
+
Please send your cover letter, CV and transcripts to ibirol@bcgsc.ca
+
 
+
Successful students will be registered at either CIHR’s Bioinformatics Training Program or Medical Genetics Graduate Program at the University of British Columbia.
+
 
+
'''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 job available in neural decoding of language, University of Rochester ==
+
 
+
* Employer: University of Rochester
+
* Rank or Title: Postdoctoral Research Fellow
+
* Specialty: Models of semantic composition, semantic similarity, machine learning
+
* Location: Rochester, NY, USA
+
* Deadline: Open until filled
+
* Date Posted: November 7, 2013
+
* Contact email: rajeev dot raizada at gmail dot com
+
 
+
'''Brief Job Description:'''
+
 
+
A postdoctoral position is available in the Department of Brain & Cognitive Sciences at the University of Rochester in the lab of Rajeev Raizada (http://raizadalab.org).
+
 
+
The position will concentrate on the neural decoding of language, in particular the semantic representation of words embedded in sentences. Experience in some or all of the following areas would be ideal: computational linguistics (especially models of the semantic composition of multiple words into phrases and sentences), natural language processing, multivoxel pattern-based fMRI analysis, machine learning (especially kernels or similarity-based approaches). Experience with Matlab or some other scientific programming language (e.g. SciPy, R) is required.
+
 
+
'''Required Qualifications:'''
+
 
+
Applicants must have a PhD in linguistics, psychology, computer science, neuroscience or a related field. Salary will be on the standard NIH postdoc payscale. The position is available immediately and has funding for a two year period, although it could potentially be extended beyond that time if mutually agreed and if additional funding is obtained.
+
 
+
'''How to apply:'''
+
 
+
To apply, please send a description of your research interests, a CV, the names of three referees, and weblinks to representative publications to rajeev dot raizada at gmail dot com. Large files such as PDFs of papers should be sent as weblinks (e.g. to your publications webpage, or using Dropbox) rather than as e.mail attachments. Interviews can be conducted via Skype.
+
 
+
'''Information about the university and the department'''
+
 
+
The Department of Brain & Cognitive Sciences at the University of Rochester (http://www.bcs.rochester.edu) has a strong focus on computational and statistical studies of neural representations, and has researchers working in language, vision, computation, development and neuroimaging. The Rochester Center for Brain Imaging (http://rcbi.rochester.edu) has a research-dedicated 3T Siemens Trio scanner.
+
 
+
== Post-doctoral Research Fellow - Nanyang Technological University, Singapore ==
+
 
+
* Employer: Nanyang Technological University
+
* Rank or Title: Post-doctoral Research Fellow
+
* Specialty: Natural Language Processing, Semantic Web
+
* Location: Singapore
+
* Deadline: Will be open until filled
+
* Date Posted: November 2, 2013
+
* Contact email: jungjae.kim@ntu.edu.sg
+
 
+
'''Brief Job Description:'''
+
 
+
The Natural Language Processing group in the School of Computer Engineering, Nanyang Technological University, Singapore has an opening for a post-doctoral researcher in the areas of ontology engineering and text mining, funded by Rolls-Royce@NTU Corporate Laboratory.
+
 
+
The position involves applying scientific, technical and software engineering skills to conduct research on ontology learning, ontological annotation on informal text, and semantic indexing and search and the development of prototypes demonstrating the successful application of the research.
+
 
+
'''Required Qualifications:'''
+
 
+
A Ph. D. in Computational Linguistics, Computer Science, or a related discipline with specialization in text mining and/or ontology engineering. Independent research experiences and experiences in developing and deploying text mining and/or ontology engineering technology capabilities in an academic or industrial environment are expected.
+
 
+
'''How to apply:'''
+
 
+
Please send a copy of your resume, along with a cover letter, to Jung-jae Kim <jungjae.kim@ntu.edu.sg>
+
 
+
==  Assistant Professor Position - Computational Linguistics/Language Science - Rochester Institute of Technology ==
+
 
+
* Employer: Rochester Institute of Technology
+
* Rank or Title: Assistant Professor
+
* Specialty: Computational Linguistics/Language Science
+
* Location: Rochester, NY, USA
+
* Deadline: Review of applications will begin on November 25, 2013
+
* Date Posted: October 11, 2013
+
* Contact email: coagla@rit.edu
+
 
+
'''Brief Job Description:'''
+
 
+
The Department of English at the Rochester Institute of Technology invites applications for an Assistant Professor of English tenure-track position to begin August 13, 2014 with specialization in computational linguistics and/or innovative technical methods in language science, with a focus on one or more areas of application. Possible areas include:
+
 
+
* Cultural or social analytics
+
* Speech technology
+
* Human-computer communication
+
* Clinical, assistive, and/or access technology
+
* Cognitive modeling of linguistic processes (for example reading)
+
* Games and/or social media
+
 
+
The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on curricular and research initiatives in digital humanities and language science.
+
 
+
'''Detailed Job Description:'''
+
 
+
The successful applicant will be a teacher and a researcher with an agenda that emphasizes innovative technical methods in linguistics, for instance natural language processing, corpus-based studies, linguistic/multimodal sensors, speech technology, and/or other computational approaches. We are seeking a scholar who engages in disciplinary and interdisciplinary teamwork and has a coherent plan for grant seeking activities. The right candidate will contribute to our department’s profile in the digital humanities, in addition to furthering our interdisciplinary language science curriculum in a college of liberal arts at a technical university. Contributions that build students’ global education experiences are additionally valued.
+
 
+
Teaching assignments may include Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Advanced Topics in Computational Linguistics, Language & Brain, self-designed courses, and other courses in the linguistics or general education frameworks such as Dialects & Identity, Text & Code, or Evolving English Language. The course teaching load is 3/2.
+
 
+
We are seeking an individual who has the ability and interest in contributing to a community committed to Student Centeredness; Professional Development and Scholarship; Integrity and Ethics; Respect, Diversity and Pluralism; Innovation and Flexibility; and Teamwork and Collaboration. Select to view links to RIT’s [http://www.rit.edu/~w-policy/sectionA/corevalues.html core values], [http://www.rit.edu/studentaffairs/studentconduct/RITHonorCode1.htm honor code], and [http://finweb.rit.edu/humanresources/diversity/commitment.html diversity commitment]. 
+
 
+
'''The University and Rochester Community:'''
+
 
+
RIT is a national leader in professional and career-oriented education. Talented, ambitious, and creative students of all cultures and backgrounds from all 50 states and more than 100 countries have chosen to attend RIT.  Founded in 1829, Rochester Institute of Technology is a privately endowed, coeducational university with nine colleges and institutes emphasizing career education and experiential learning. With approximately 15,000 undergraduates and 3,000 graduate students, RIT is one of the largest private universities in the nation. RIT offers a rich array of degree programs in engineering, science, business, and the arts, and is home to the National Technical Institute for the Deaf. RIT has been honored by ''The Chronicle of Higher Education'' as a "Great Colleges to Work For" for four years. RIT is responsive to the needs of dual career couples by our membership in the [http://www.upstatenyherc.org/home/index.cfm?site_id=671 Upstate NY HERC].
+
 
+
Rochester, located on Lake Ontario, is the 79<sup>th</sup> largest city in the United States and the third largest city in New York State. The Greater Rochester region, which is home to nearly one million people, is rich in cultural and ethnic diversity, with a population comprised of approximately 16% African and Latin Americans and another 7% of international origin. It is also home to the largest deaf community per capita in the U.S.  Rochester ranks 3<sup>rd</sup> best metropolitan regions for Raising a Family" by ''Forbes Magazine''; 6<sup>th</sup> among 379 metropolitan areas as "Best Places to Live in America" by ''Places Rated Almanac''; 1<sup>st</sup> in ''Expansion Management Magazine''’s ranking of metropolitan areas having the best “Quality of Life in the Nation”; and is among ''Essence Magazine''’s "Top 10 Cities for Black Families."
+
 
+
'''Required Minimum Qualifications:'''
+
 
+
* Ph.D. in Linguistics (or an allied field) in hand prior to appointment date
+
* Advanced graduate coursework in language science and technical methods
+
* Evidence of outstanding teaching
+
* Experience teaching or mentoring diverse or multi-disciplinary students
+
* Evidence of publication and a coherent plan for research and grant seeking activities
+
* Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences.
+
 
+
'''How to Apply:'''
+
 
+
Apply online at [http://careers.rit.edu/faculty http://careers.rit.edu/faculty]. Search: 797BR. Please submit your cover letter; CV; copy of transcripts of graduate coursework; a research statement; a teaching statement; writing sample/portfolio; [https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Statement_Guide_for_candidates_4-12.docx Contribution to Diversity Statement]; and the names, addresses and phone numbers for three references.
+
 
+
'''Contact:'''
+
 
+
Please direct questions to Dr. Cecilia Ovesdotter Alm at: <coagla@rit.edu> or (585) 475-7327.
+
 
+
'''Application Deadline:'''
+
 
+
Review of applications will begin on: November 25, 2013.
+
 
+
== Assistant/Associate Professor Position - University of Illinois at Urbana-Champaign, Department of Linguistics (Urbana, IL)==
+
 
+
* Employer: University of Illinois at Urbana-Champaign
+
* Title: Tenure-track Assistant Professor / Tenured Associate Professor
+
* Location: Urbana, IL, USA
+
* Specialty: Computational Linguistics /Natural Language Processing, Machine Translation
+
* Deadline: December 15, 2013
+
* Date Posted: October 6, 2013
+
* Contact email: SLCL-HR@illinois.edu
+
 
+
The Department of Linguistics in partnership with the Center for Translation Studies at the University of Illinois at Urbana-Champaign invites applications for a full-time tenure-track assistant professor or tenured associate professor position in Computational Linguistics (CL) or Natural Language Processing (NLP) with a research specialization in Machine Translation.
+
 
+
A PhD, preferably in Linguistics, Computer Science, or related field with a strong background in computational linguistics / natural language processing, is required by the time of the appointment. Applicants should demonstrate an interest in translation as a cognitive process. The ideal candidate will complement and build on existing strengths within the department of Linguistics and the Center for Translation Studies, and will be eager to interact with students and faculty from the broader linguistics and language processing communities at the University of Illinois.
+
 
+
A successful candidate at the associate level will present an established record of scholarly publications, grants and awards, and demonstrated excellence in teaching and student mentoring at the undergraduate and graduate levels.
+
 
+
Evidence of an active research agenda and a strong commitment to innovative teaching in an interdisciplinary context is expected at the assistant professor level.
+
 
+
The target starting date is August 16, 2014. Salary will be commensurate with qualifications.
+
 
+
Our setting provides rich opportunities for interdisciplinary research and teaching, supported by our renowned libraries, the UIUC Research Board, and the interdisciplinary research communities in facilities such as the Beckman Institute for Advanced Science and Technology.
+
 
+
The Computational Linguistics program in the Department of Linguistics encompasses theoretical and applied areas of scholarship, relating computational methods and analysis to the study of grammatical systems, linguistic meaning, and to language as a social and cognitive phenomenon. Computational Linguistics research in the department spans a range of key applications in human language technology, including machine translation, semantic and discourse processing, and applications in information extraction and social media. The program has strong ties to industry and to other Illinois departments that are home to computer scientists, engineers, linguists, library scientists, psychologists and speech & hearing scientists. The Linguistics department offers a joint undergraduate major in Computer Science and Linguistics.
+
 
+
The Center for Translation Studies focuses on preparing students in the new MA program in Translation and Interpreting for a rapidly diversifying translation job market, one which requires strong technology as well as language skills. Translation lies at the intersection of many converging themes, such as multilingualism, multiculturalism, literatures and linguistics, as well as technology and pedagogy, and fits squarely within the campus-wide theme of social equality and cultural understanding.
+
 
+
To apply, create your candidate profile through http://jobs.illinois.edu and upload application material through this system. To ensure full consideration, submit a cover letter, a curriculum vitae, a statement of research and teaching interests, and the contact information for three professional references. The search committee may contact the applicant about soliciting letters of reference at a later point, after a first review of the files. Only applications submitted through the University of Illinois Job Board will be considered. To ensure full consideration applications must be received by December 15, 2013.
+
 
+
For further information regarding application procedures, please contact SLCL-HR@illinois.edu.
+
 
+
The University of Illinois is an Affirmative Action /Equal Opportunity Employer and welcomes individuals with diverse backgrounds, experiences, and ideas who embrace and value diversity and inclusivity. ( www.inclusiveillinois.illinois.edu)
+
 
+
==Tenure-Line Position - Northwestern University Department of Linguistics (Evanston, IL)==
+
 
+
* Employer: Northwestern University
+
* Title: Tenure-line Assistant Professor (more senior candidates will be considered)
+
* Location: Evanston, IL, USA
+
* Deadline: December 1, 2013
+
* Date Posted: October 2, 2013
+
* Contact email: search@ling.northwestern.edu
+
 
+
The Department of Linguistics at Northwestern University seeks to fill a tenure-line Assistant Professor position with a start date of September 1, 2014. We are looking for candidates who will enhance Northwestern’s interdisciplinary language science research community. The ideal candidate will have a research program grounded in computational linguistics, psycholinguistics, and/or language variation and change. Although we expect to hire at the rank of assistant professor, more senior candidates will also be considered.
+
 
+
Candidates must hold a Ph.D. in Linguistics, Psychology, Cognitive Science, Computer Science, or a related field by the start date. To receive fullest consideration, applications should arrive by December 1, 2013. Please include a CV (including contact information), statements of research and teaching interests, reprints or other written work, teaching evaluations (if available), and the names of three references (with their contact information). Please visit http://www.linguistics.northwestern.edu/ for instructions to apply online.
+
 
+
E-mail inquiries should be directed to search@ling.northwestern.edu. Northwestern University is an Equal Opportunity/ Affirmative Action Employer. Applications from minority and women candidates are especially welcome.
+
 
+
==Postdoctoral Research Scientist - Illinois Institute of Technology Department of Computer Science (Chicago, IL)==
+
 
+
* Employer: Illinois Institute of Technology
+
* Title: Postdoctoral Research Scientist
+
* Specialty: Computational Linguistics, Natural Language Processing, Computational Stylistics
+
* Location: Chicago, IL, USA
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: September 30, 2013
+
* Contact email: argamon@iit.edu
+
 
+
'''Position Overview'''
+
 
+
The Linguistic Cognition Laboratory (http://lingcog.iit.edu) at the Illinois Institute of Technology has an opening for a postdoctoral researcher (full-time) in natural language processing. The position is for work on a federally funded project on computational analysis of discourse structure and metaphor and their relationships to cognitive style and ideology.  The ideal candidate will have expertise in several of the following areas: natural language processing, semantic text analysis, computational stylistics, discourse analysis, statistical parsing, social network analysis, and machine learning.
+
 
+
Candidates should have a PhD in computer science, computational linguistics, cognitive science, or a related discipline and must be US citizens.  The position will start as soon as it is filled, pending confirmation of funding. The initial term of the position will be for 12 months, potentially renewable to a total of 36 months depending on performance and continued funding.  Salary will be commensurate with experience and expertise.
+
 
+
'''To Apply'''
+
 
+
Interested candidates should contact Shlomo Argamon at argamon@iit.edu and send a (PDF) CV, a statement of interest, and the names of two or more references.
+
 
+
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==
+
  
* Employer: Nuance Communications, Inc.
 
* Rank or Title: NLP Research Scientist
 
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems
 
* Location: Sunnyvale, CA, USA
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: September 27, 2013
 
* Contact email: Jennifer.Garvale@nuance.com
 
  
'''General Description'''
+
'''Job Description'''
  
Nuance is the world-wide leader in voice technologies. We are now making substantial research and development investments to add natural language processing capabilities to our speech infrastructure. We are expanding our new Silicon Valley Natural Language Research laboratory. The goal of this group is to develop the next generation of intelligent, conversational agents. We seek research scientists with the following backgrounds:
+
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.
  
* Dialog processing
 
* Discourse and anaphora resolution
 
* Generation
 
* Parsing
 
* Entity recognition
 
* Morphology
 
* Multilingual NLP
 
* Semantic interpretation
 
  
 
'''Responsibilities'''
 
'''Responsibilities'''
  
* Ownership of a major component of the conversational system.
+
The successful candidates will help investigate new algorithms to
* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field.  
+
support our current research thrusts. This will require extensive
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.
+
experience with data mining (DM) and natural language processing (NLP).
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products.
+
* Design components in a way that will generalize across domains. Minimize the code change and human effort needed for the system to work in a new domain.
+
* Collaborate with other scientists and engineers inside and outside of the team.
+
* Patent or publish experimental results or designs when appropriate.  
+
  
'''Education/Experience'''
 
* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.
 
* Solid track record in both projects and publications for natural language processing.
 
* Solid implementation skills in C++, Java, scripting languages.
 
* Knowledge of both statistical and rule-based methods for natural language processing.
 
  
 +
'''Qualifications'''
  
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.
+
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.
  
== Short Term Post-Doc Position: Natural Language Processing (NLP), Phoenix, USA==
+
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.
  
Employer: Arizona State University, Tempe, AZ  http://csc.asu.edu/
 
* Rank or Title: Postdoctoral fellow
 
* Specialty: Natural language processing and machine learning
 
* Location: Tempe, AZ, USA
 
* Deadline: August 21, 2013
 
* Date Posted: August 8, 2013
 
* Contact email: hdavulcu at asu,edu and steve.corman at asu,edu
 
  
 +
'''How to Apply'''
  
Position
+
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.
  
Seeking a Post-Doc with preparation in natural language processing (NLP), machine learning (ML) for quantitative text and discourse analysis at Center for Strategic Communication, Arizona State University, Tempe Campus.
 
  
The project involves parsing large collection of English documents with a deep parser, extracting subject-verb-object triplets from sentences, and utilization of semantic information for event and story detection. Project also involves development of graph clustering based summarization tools for text.
+
'''Background'''
  
The Center is a fun, collaborative group providing many opportunities for learning, hands-on research and teamwork. We value having a diverse mix of people and we are committed to equal opportunity in employment.
+
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
  
Candidates should have excellent English language skills (written and spoken), good communication skills, good programming skills (e.g., Java, C++, MATLAB, Python) and demonstrable ability to work with various open source NLP and ML tools and libraries.
+
Competitive Salary based on experience.
  
 +
== Knowledge Engineer / Bosch Research & Technology Center / Palo Alto, California ==
  
Requirements: PhD degree in Computer Science or Computational Linguistics
+
* Employer: Bosch Research & Technology Center
 
+
* Title: Knowledge Engineer (PhD)
Pay Rate: Competitive monthly salary.
+
 
+
Term of employment:
+
This is a Short-term, temporary position.
+
Period between September 3, 2013 and February 28, 2014.
+
 
+
Close Date:
+
Initial close date is August 21, 2013.  Applications will continue to be accepted and reviewed every week thereafter until search is closed.
+
 
+
 
+
How to Apply:
+
+
Please submit your information by email to hdavulcu at asu,edu and steve.corman at asu,edu
+
E-mail subject line - “Natural Language Processing – Post-Doc application”.
+
 
+
Information must have the following:
+
* Cover Letter
+
* CV
+
* 2 or more professional references (name, addresses and phone numbers)
+
 
+
== Postdoctoral Fellow Machine Reading, KU Leuven, Belgium==
+
 
+
Employer: Katholieke Universiteit Leuven, Belgium  http://www.kuleuven.be/
+
* Rank or Title: Postdoctoral fellow
+
* Specialty: Natural language processing and machine learning
+
* Location: Leuven, Belgium
+
* Deadline: July 5, 2013
+
* Date Posted: June 9, 2013
+
* Contact email: Sien.Moens@cs.kuleuven.be
+
+
Position
+
 
+
Applications are invited for the position of a postdoctoral research fellow specialized in natural language processing and machine learning to join the Language Intelligence and Information Retrieval group of Prof. Marie-Francine Moens at the Department of Computer Science at KU Leuven, Belgium.
+
The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The MUSE project introduces a new way of exploring and understanding information by “bringing text to life” through 3D interactive storytelling. Taking as input natural language text like children’s stories or medical patient education materials, MUSE will process the natural language, translate it into formal knowledge that represents the actions, actors, plots and surrounding world, and then render these as virtual 3D worlds in which the user can explore the text through interaction, re-enactment and guided game play. The focus of the postdoctoral research at KU Leuven will be on semi-supervised and unsupervised models for machine reading (MR) when translating the content of text to knowledge representations. A possible additional focus is on scalable inference and learning. The position ideally starts September 1, 2013. Funding for this position is currently available for 2 years.
+
 
+
Requirements
+
 
+
Applicants have a PhD degree in computer science or related areas, and a strong background in NLP and machine learning.  Research experience is desirable in one or more of the following fields: information extraction, semi- and unsupervised parsing, graphical models, structured learning, language modeling, and related domains. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.
+
 
+
Information
+
 
+
For more information contact Marie-Francine Moens, tel.: +3216325383, mail: sien.moens@cs.kuleuven.be.
+
You can apply for the postdoctoral position by sending your CV and publication list to: sien.moens@cs.kuleuven.be.
+
 
+
== Research Scientist Positions, NLP and Speech ==
+
 
+
Employer: Educational Testing Service http://www.ets.org/
+
* Rank or Title: Research Scientist
+
 
* Specialty: Natural Language Processing
 
* Specialty: Natural Language Processing
* Location: Princeton, NJ or San Francisco, CA
+
* Location: Palo Alto, California, United States, 94304
* Deadline: Until position is filled
+
* Deadline: Until filled
* Date Posted: 22 May 2013
+
* Date Posted: March 16, 2014
* Contact email: dyanchuk@ets.org
+
+
  
Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education, and government, we are determined to advance educational excellence for the communities we serve.
+
'''Job Description:'''
  
 +
The Bosch Language Services group in Palo Alto, CA is a newly created organization intended to develop products with natural language technologies and systems, and provide services for Bosch Group. It is a fast growing team addressing the needs within and outside of the large Bosch organization. We work closely with internal partners, including corporate research and other business units, to create a new set of products and services for Bosch, based on our leading technologies in the field.
  
ETS Research & Development has openings for Research Scientists at all levels in Natural Language Processing and Speech Group. The ongoing projects in this group focus on natural language processing for topics including automated evaluation of writing and speaking assessments. ETS aims to expand these current research directions, as well as pursuing groundbreaking research in new areas:
+
To strengthen our team, we are seeking enthusiastic and creative engineer in knowledge engineering and language processing to develop world class Bosch products.  
* The incoporation of interactive tasks into assessment environments, using technologies for dialog management and analysis.
+
* The automated induction of rhetorical structures from student responses, including argumentation strategies, narrative organization, and topical analyses.
+
* Automated analysis of process data related to student performance on immersive assessment tasks (such as in a game-based environment).
+
  
 +
'''Responsibilities:'''
  
This is an excellent opportunity to be a part of a research and development team and have a significant impact on existing and next generation assessments.
+
* Develop the next-generation software products in the areas of user interaction technologies and systems
 +
* Develop scalable and reliable solutions of such systems for 24/7 use
 +
* Develop knowledge engineering technologies and tools for different Bosch application fields
 +
* Manage knowledge development process and tool development
  
 +
'''Qualifications:'''
  
'''PRIMARY RESPONSIBILITIES'''
+
* Ph.D degree or equivalent in Computer Science, or related fields
 +
* Minimum 7 years of large scale software development experiences
 +
* Minimum 5 years of experience in knowledge engineering, ontology construction, and natural language processing.
 +
* Strong in coding (C, C++, Java), algorithms and system design
 +
* 5 years of hands-on experience in developing web service solutions and web applications.
 +
* Excellent communication skills (both writing and speaking)
 +
* In-depth experience in using speech recognition, and/or machine learning systems is a plus
  
 +
'''How to Apply'''
  
• Pursue or collaborate in interdisciplinary projects, transferring techniques to a new context or connecting scientific fields that are usually separate. Successful candidates are self-motivated and self-driven, and have a strong interest in emerging technology that can contribute to education in assessment and instructional settings.
+
For more information, and to apply online, please visit http://bit.ly/1odx96w
  
• Provide scientific and technical skills to conceptualize, design, obtain support for, conduct, and manage new research projects, grants, or parts of existing projects.
+
== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==
  
• Generate or contribute to new or modified methods that support research and development in the automated analysis of student responses as well as other written or spoken materials relevant in assessment and instructional settings.
+
* 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
  
• Design and conduct scientific studies, functioning as an expert in the major facets of the projects; respond as a subject matter expert in presenting the results of acquired knowledge and experience.  Consult and collaborate on problems arising from research and/or testing programs, or corporate management concerns.
+
'''Job Description:'''
  
• Develop or assist in developing proposals for external and internal research grants and obtain financial support for new or continuing research activities.  Prepare initial and final proposal and project budgets.
+
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.
  
• Participate in dissemination activities through the publications of research papers in peer-reviewed journals and in the ETS Research Report series, the issuing of progress and technical reports, the presentation of seminars at major conferences and at ETS, or the use of other appropriate communication vehicles, including books and chapters, that impact practice in the field or at ETS.
+
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.
  
• Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
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.
  
• Consult on ETS projects or external contracts that related to the research focus of the group.
+
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.
+
  
'''Required Experience:'''
+
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:'''
  
'''REQUIREMENTS FOR A JUNIOR LEVEL POSITION'''
+
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 Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member.
+
'''How to Apply:'''
  
'''REQUIREMENTS FOR A MID-LEVEL POSITION'''
+
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
  
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Three years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.
+
'''Information about the institute:'''
  
'''REQUIREMENTS FOR A SENIOR-LEVEL POSITION'''
+
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.
  
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Eight years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.
+
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 ==
  
About the Center for Assessment Innovation: The NLP and Speech Group focuses on  automated scoring of text and speech, support for technologically-enhanced assessment methods, and the application of NLP and speech technology to educational problems generally. The group builds partnerships and collaborations with other institutions. External grants are pursued, and internally-funded fundamental research and capability development is also supported.
+
* 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:'''
  
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
  
== Research Assistant Positions, NLP ==
+
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
  
Employer: Educational Testing Service http://www.ets.org/
+
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)
* Rank or Title: Research Assistant
+
* Specialty: Natural Language Processing
+
* Location: Princeton, NJ
+
* Deadline: Until position is filled
+
* Date Posted: 22 May 2013
+
* Contact email: dyanchuk@ets.org
+
  
 +
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.
  
ETS Research & Development has an opening for a Research Assistant in the Natural Language Processing Group. A primary focus of the area is to contribute to externally-funded projects as well as provide service to the program areas of ETS, including new applications of automated scoring technologies. The successful candidate will contribute to internal projects aimed at developing assessment and automated scoring innovations. The successful candidate will also contribute to external projects aimed at developing methodologies to support natural language processing technologies.
+
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:'''
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
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.
  
'''Project Management/Leadership'''
 
  
Complete Linguistic annotations of text, develop and apply scoring schemes to short answer responses, assist research scientitsts in constructing models and documenting procedures.
+
'''How to Apply:'''
  
Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).
+
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.
  
Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.
 
  
Schedule services with other ETS departments, staff and vendors.
+
'''Information about the institute:'''
  
Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.
+
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 Design, Data Collection and Analysis
 
  
Assist in developing and refining research instruments.
+
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
  
Assist in developing procedures for data collection. Edit and proof coding systems and manuals.
+
* 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
  
Administer research instruments such as assessments, surveys, observations, and interviews.
+
'''Information about the institute:'''
  
Instruct support staff on procedures for data collection, data entry and check work.
+
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).
  
Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.
+
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.
  
Perform basic data analyses; Compile simple results.
 
  
Prepare charts, tables, figures, and graphics for reports and presentations.
+
'''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
  
'''Communication'''
+
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
  
Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.
+
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).  
  
Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.
+
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.
  
Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.
+
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).
  
Assist in developing presentations and present as part of a team.
+
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
  
Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.
+
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.  
  
Experience in using data analyses software.
+
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
  
 +
'''Requirements:'''
  
'''Required Experience:'''
+
* 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.
  
'''EDUCATION'''
+
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.
  
A Bachelor's degree in linguistics or a closely related field, with coursework in statistics or research methods, phonetics & phonology, syntax & semantics, and/or language acquisition is necessary.
 
  
'''EXPERIENCE'''
+
'''How to apply:'''
  
Six months of research-related experience is necessary.
+
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.
  
Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.
 
  
  
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
+
== 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:'''
  
== Senior Research Scientist - Xerox Research Centre Europe ==
+
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).
  
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
+
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.
* Rank or Title: Senior Research Scientist
+
* Specialty: Statistical Natural Language Processing, Machine Learning
+
* Location: Grenoble, France
+
* Deadline: 31 July 2013 or until position is filled
+
* Date Posted: 2 May 2013
+
* Contact email: James.Henderson@xrce.xerox.com
+
  
'''Position Description'''
+
'''Job Description:'''
  
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning for NLP.  The ideal candidate would have experience or knowledge of parsing, information extraction, weak supervision, textual entailment, and combining machine learning with expert knowledge.  Awareness of the healthcare domain is a plus.  The applicant should have a strong publication record and good coding skills.  The seniority of the appointment will depend on qualifications.
+
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a  
  
The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact.  Senior researchers are expected to also lead research projects.  We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals.  We also have multiple open innovation collaborations with academic partners world-wide.
+
* Research Scientist (two-year contract, full time, EG13 TV-H*)
  
The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis.  The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning.  We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance.  The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group.  We are also interested in applying research results to practical applications and real-world problems.  Our general application focus is on converting unstructured text into structured information, including facts and opinions.  The solutions we develop play a key role in Xerox's next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.
+
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
  
XRCE is located in Grenoble, France, in the heart of the French Alps.  Grenoble offers an excellent quality of life and a large scientific community.  For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Senior-Research-Scientist-in-Statistical-Natural-Language-Processing.
 
  
'''Requirements'''
+
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.
  
* PhD in Computer Science or Computational Linguistics
+
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.
* NLP knowledge and experience
+
* Machine learning knowledge or experience
+
* Strong publication record
+
* Programming skills
+
* Strong written and oral communications skills in English
+
  
'''Application instructions '''
+
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. 
  
Applications will be considered as they are received. To ensure that an application receives full consideration it should be submitted by '''July 31, 2013'''. Applications will be considered beyond this date until the position is filled.
+
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.  
  
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
+
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
  
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.
 
  
 +
'''Requirements:'''
  
== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==
+
- 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.
  
* Employer: Qatar Computing Research Institute (http://www.qcri.qa)
+
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
* Rank or Title: Intern/Research associate/Research assistant
+
* Specialty: Information retrieval, text mining, natural language processing
+
* Location: Doha, Qatar
+
* Deadline: May 31, 2013
+
* Date Posted: March 15, 2013
+
* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa
+
  
'''POSITION DESCRIPTION'''
+
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.
  
The NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.
 
  
'''INTERNSHIP TASKS INCLUDE'''
+
'''How to apply:'''
* Development of effective techniques for information filtering from social media
+
* Diversity analysis, categorization, and summarization of search results
+
* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search
+
* Web design/development of visualization schemes for social search results
+
* Conducting project-related research work supervised by scientists in the team
+
  
'''EXPECTED APPLICANTS SHOULD BE/HAVE'''
+
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.
* PhD/Master students in computer science or related field
+
* At least 1-year research experience
+
* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.
+
* Background in social network analysis and/or natural language processing is a plus
+
* Basic knowledge of Arabic language can help but is not mandatory
+
* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)
+
  
'''INTERNSHIP NATURE'''
 
  
Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents.
+
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
  
Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.
+
* 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
  
'''ABOUT QCRI'''
+
'''Job Description:'''
  
Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.
+
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.
  
QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.
+
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.
  
'''APPLICATION'''
+
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.
  
Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now
+
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
  
For more information, please visit:  
+
'''Required Qualifications:'''
http://www.qcri.qa
+
http://qcri.qa/our-research/arabic-language-technologies
+
  
 +
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.
  
== Postdoctoral fellow -- KU Leuven ==
+
Fluency in Chinese is an advantage, but not required.
  
* Employer: Department of Computer Science, KU Leuven, Belgium
+
'''How to Apply:'''
* Rank or Title: Postdoctoral fellow
+
* Specialty: Information extraction, natural language understanding, machine reading
+
* Location: Leuven, Belgium
+
* Deadline: Until position fills
+
* Date Posted: April 13, 2013
+
* Contact email: Sien.Moens@cs.kuleuven.be
+
  
'''Position description'''
+
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
The Language Intelligence and Information Retrieval group, which is part of the Department of Computer Science at KU Leuven (http://www.cs.kuleuven.be/groups/liir/), has an open postdoctoral position for a motivated researcher with interest and expertise in information extraction from text. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and can show his or her expertise through several publications in major conferences or journals in the fields of computational linguistics, machine learning and/or artificial intelligence.
+
The position will be for two years starting in the Summer of 2013 or earlier. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.
+
  
'''Application instructions '''
+
Dr. Wen-Lian Hsu, Director
  
Please send your application to Marie-Francine Moens (Sien.Moens@cs.kuleuven.be).
+
Institute of Information Science
  
 +
Academia Sinica
  
'''Other considerations'''
+
Nankang 115, Taipei, Taiwan
  
Situated in the heart of Western Europe, KU Leuven has been a centre of learning for almost six centuries. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied research.  It is strongly inter- and multidisciplinary in focus and strives for international excellence. To this end, KU Leuven works together actively with its research partners at home and abroad.
+
TEL: 886-2-2788-3799ext.1804
  
== Post-doctoral fellows -- University of Alberta ==
+
FAX:886-2-2782-4814
  
* Employer: Department of Computing Science, University of Alberta
+
E-mail: recruit@iis.sinica.edu.tw
* Rank or Title: Post-doctoral fellow
+
* Specialty: Information Extraction
+
* Location: Edmonton, AB, Canada
+
* Deadline: March 15 2013, but applications are accepted until positions are filled
+
* Date Posted: 26 February 2013
+
* Contact email: denilson@ualberta.ca
+
  
'''Position Description'''
+
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
  
The Department of Computing Science at the University of Alberta is seeking applicants for post-doctoral fellows to work on a project related to information extraction. The ideal candidates are recent PhDs in Computer Science with strong background in information retrieval, linked open data, natural language processing, and information extraction from the web. Other areas where expertise is desirable include graph data management, network analysis, data analytics, and the semantic web.
+
* 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
  
The projects will be conducted in the context of the NSERC Business Intelligence Network (http://bin.cs.utoronto.ca/), a collaborative research initiative involving several top Canadian Universities and key industrial partners IBM Canada, SAP Canada, and Palomino System Innovations Inc.
+
'''Brief Job Description:'''
  
The fellows will work under the supervision of PI Denilson Barbosa, within a team of PhD and MSc students, and build on ongoing work in information extraction with applications in business and environmental data. These positions will require the development of practical prototypes and proof-of-concept systems, as well as dissemination of research results in top venues. As such, emphasis should be given on the application materials to hands-on experience with large-scale datasets.
+
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.  
  
Qualified candidates must hold a PhD at the time of appointment. The stipend will be in accordance with NSERC standards (CAD$ 40,000 plus benefits), with the possibility of a 10-20% top-up depending on qualifications.
+
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.
  
'''Application instructions '''
+
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
  
To apply, send an updated CV, cover letter, and the names and official contact information (university or company email and phone number) of three references to Denilson Barbosa <denilson@ualberta.ca>.
+
'''Detailed Job Description:'''
  
Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.
+
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.
  
'''Other Considerations'''
+
The ideal appointee will conduct development and extensive testing of:
  
The University of Alberta, one of Canada's largest research universities is situated in Edmonton, a metropolitan area of over one million people with a vibrant research community and an excellent standard of living. The Department of Computing Science at the University of Alberta is widely recognized as a leading CS department, both within Canada and worldwide.
+
* general-purpose software to support symbolic-level computation over gradient symbol structures
  
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
+
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
  
The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.
+
* new machine-learning algorithms, including deep compositional networks
  
 +
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  
== Research Scientist - Xerox Research Centre Europe ==
+
* new psycholinguistic models of human syntactic production and comprehension processes
  
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
+
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.  
* Rank or Title: Research Scientist
+
* Specialty: Statistical Natural Language Processing
+
* Location: Grenoble, France
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: 14 February 2013
+
* Contact email: James.Henderson@xrce.xerox.com
+
  
'''Position Description'''
+
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
  
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.
+
'''How to Apply:'''
 
+
The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.
+
 
+
The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems.  Our general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services.
+
 
+
See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities
+
 
+
'''Requirements'''
+
 
+
* PhD in Computer Science or Computational Linguistics
+
* NLP knowledge and experience
+
* Knowledge or experience in machine learning or information extraction
+
* Object oriented programming skills (e.g. java)
+
* Strong written and oral communications skills in English
+
 
+
'''Application instructions '''
+
 
+
The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled.
+
 
+
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
+
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.
+
 
+
 
+
== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==
+
 
+
* Employer: CNGL, Dublin City University http://www.cngl.ie
+
* Rank or Title: PhD, Post-Doc and Research Programmer
+
* Specialty:  Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics
+
* Location: Dublin, Ireland
+
* Deadline: February 25, 2013
+
* Date Posted: January 30, 2013
+
* Start Date: March, 2013
+
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
+
* Contact email: dgroves@computing.dcu.ie
+
 
+
'''For More Details'''
+
 
+
http://www.cngl.ie/vacancies.html
+
 
+
'''Position Description'''
+
 
+
CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.
+
 
+
CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize.
+
 
+
CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.
+
 
+
The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.
+
 
+
DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.
+
 
+
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
+
 
+
'''PhD Studentships'''
+
 
+
*Parsing, Analytics and Information Extraction:
+
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.
+
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.
+
*Information Retrieval:
+
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications
+
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources
+
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis
+
**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content
+
*Machine Translation:
+
**Syntax- and Semantics-Enhanced Machine Learning Based MT
+
**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
+
**Human interaction with MT output: Usability, Acceptability, Post-editing Research
+
**MT and Multimodal Interaction
+
**MT for Multimodal Cross Language Information Retrieval
+
 
+
'''Post-Doctoral Positions'''
+
 
+
*Parsing, Analytics and Information Extraction:
+
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
+
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
+
*Machine Translation:
+
**User/Human Centric MT (up to 2.5 year contract)
+
 
+
'''Post-Doctoral Positions'''
+
 
+
*Research Programmer (up to 2.5 year contract)
+
 
+
For more information please see: http://www.cngl.ie/vacancies.html
+
 
+
 
+
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
+
 
+
* Employer: Nara Insititute of Science and Technology
+
http://www.naist.jp/en/
+
* Rank or Title: Assistant Professor
+
* Specialty:  Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
+
* Location: Nara, Japan
+
* Deadline: February 28, 2013
+
* Date Posted: January 30, 2013
+
* Start Date: after April, 2013
+
* Duration: 5 years (reappointment is possible)
+
* Contact email: matsu@is.naist.jp
+
 
+
'''For Detailed Description'''
+
 
+
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
+
 
+
 
+
==Researchers - AT&T Labs Research==
+
 
+
* Employer: AT&T Labs - Research
+
* Rank or Title: Researchers and Research Software Engineers
+
* Specialty: Natural Language Processing, Speech Processing, Machine Learning
+
* Location: NJ
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: 8 January 2013
+
* Contact email: vkumar@research.att.com
+
 
+
'''Position Description'''
+
 
+
AT&T Research, one of the premier industrial research laboratories in the world, is looking for
+
talented individuals to make a difference in the world of communications.  Our researchers and
+
research software engineers are dedicated to solving real problems in speech and language
+
processing, and are involved in inventing, creating and deploying innovative services. We also
+
explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at
+
all levels of experience are encouraged to apply.  Candidates must demonstrate excellence in
+
research, a collaborative spirit and strong communication and software skills.
+
 
+
Areas of particular interest are
+
 
+
    * Large-vocabulary automatic speech recognition
+
    * Acoustic and language modeling
+
    * Robust speech recognition
+
    * Signal processing
+
    * Text-to-speech synthesis
+
    * Natural language understanding and dialog
+
    * Machine translation (speech and text)
+
    * Speaker biometrics
+
    * Voice and multimodal search
+
    * Software engineering for speech and language processing
+
 
+
Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).
+
 
+
Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates
+
are encouraged to apply.  Interviews will be conducted in early 2013.  For more information,
+
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:
+
 
+
http://www.research.att.com/evergreen/working_with_us/careers.html
+
 
+
Candidates must demonstrate a proven research track record and the ability to identify technical
+
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
+
are desired. Access to massive amounts of real-world data, the ability to work with internal and external
+
collaborators across departments, the possibility of making an impact by developing solutions that will be used
+
by millions, and the freedom to publish your results are some of the reasons AT&T Labs -
+
Research is an exciting place to work.
+
 
+
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
+
 
+
 
+
==Subject Matter Expert - Linguistics==
+
 
+
Employer: Assured Information Security, Inc<br>
+
Rank or Title: Subject Matter Expert<br>
+
Specialty: Linguistics<br>
+
Location: Rome, NY 13441<br>
+
Deadline: July 17, 2013<br>
+
Date Posted: June 17, 2013<br>
+
Link to website: http://www.Click2Apply.net/6q7549z<br>
+
 
+
AIS, Inc. is currently seeking a Subject Matter Expert in SIGINT for their Rome, NY office to support customers in the areas of requirements development, testing, and system training. The candidate(s) will support and coordinate the activities of AIS research and development programs.
+
 
+
Roles and Responsibilities
+
 
+
* Analysis of ongoing operations to identify and document end user requirements
+
* Identification of operational scenarios to be used in evaluating candidate prototype technologies
+
* Testing and analysis of the interim prototype systems against operational data sets
+
* Conduct the demonstration and evaluation of interim prototype systems to operational users
+
* Coordination of program activities with operational site personnel
+
* Aggregation of operational data sets to be used in support of prototype evaluations
+
* Provide training and technical support of the prototype systems for the end users
+
* Creation of user documentation for the products developed within the research program
+
* Coordination with other contractors in the integration of prototype systems
+
* Assistance with the transition of prototype capabilities into the operational environment
+
 
+
 
+
Requirements
+
 
+
* Candidate must have 10 or more years of SIGINT experience to include field operations, analysis and reporting, training, and evaluation
+
* Expertise in one or more SIGINT - related disciplines
+
* Operational SIGINT qualifications in collection and management positions
+
* Instructor and examiner experience
+
* Presentation development experience
+
* Demonstrated experience with research and analysis techniques
+
* Strong interpersonal and oral/written communication skills including the ability to write progress reports, make oral presentations, and to implement or influence implementation of operating standards, policies and procedures in the project
+
* Experience in working with diverse groups is desired
+
* Recent operational SIGINT field experience is highly desired
+
 
+
Qualifications and Education Requirements
+
 
+
An active Top Secret/SCI security clearance and current investigation are required.
+
 
+
Preferred: Bachelor's Degree in Computer Science or related program with 8 - 12 years experience; Master's Degree in Computer Science or related program with 4 - 7 years of experience; or 16 + years of job
+
related experience.
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Additional Notes
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AIS is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, Vietnam era or other eligible veteran status, or any other protected factor.
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EEO/AA employer
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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.
  
[http://www.Click2Apply.net/6q7549z Apply Here]
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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 12:49, 27 March 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.

Knowledge Engineer / Bosch Research & Technology Center / Palo Alto, California

  • Employer: Bosch Research & Technology Center
  • Title: Knowledge Engineer (PhD)
  • Specialty: Natural Language Processing
  • Location: Palo Alto, California, United States, 94304
  • Deadline: Until filled
  • Date Posted: March 16, 2014

Job Description:

The Bosch Language Services group in Palo Alto, CA is a newly created organization intended to develop products with natural language technologies and systems, and provide services for Bosch Group. It is a fast growing team addressing the needs within and outside of the large Bosch organization. We work closely with internal partners, including corporate research and other business units, to create a new set of products and services for Bosch, based on our leading technologies in the field.

To strengthen our team, we are seeking enthusiastic and creative engineer in knowledge engineering and language processing to develop world class Bosch products.

Responsibilities:

  • Develop the next-generation software products in the areas of user interaction technologies and systems
  • Develop scalable and reliable solutions of such systems for 24/7 use
  • Develop knowledge engineering technologies and tools for different Bosch application fields
  • Manage knowledge development process and tool development

Qualifications:

  • Ph.D degree or equivalent in Computer Science, or related fields
  • Minimum 7 years of large scale software development experiences
  • Minimum 5 years of experience in knowledge engineering, ontology construction, and natural language processing.
  • Strong in coding (C, C++, Java), algorithms and system design
  • 5 years of hands-on experience in developing web service solutions and web applications.
  • Excellent communication skills (both writing and speaking)
  • In-depth experience in using speech recognition, and/or machine learning systems is a plus

How to Apply

For more information, and to apply online, please visit http://bit.ly/1odx96w

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.