Employment opportunities, postdoctoral positions, summer jobs

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* '''[[Instructions for Posting Job Ads]]'''
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* Archived postings:
** [[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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== One Postdoctoral Position In Statistical Machine Translation - Sapienza University of Rome (Italy) ==
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== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
* Employer: Sapienza University of Rome
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* Employer: University of British Columbia and BC Cancer Agency
* Location: Rome, Italy
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* Title: PostDoc
* Deadline: 18th October 2012
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* Specialty: Natural Language Processing, Machine Learning
* Date Posted: 01st October 2012
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* Location: Vancouver, British Columbia, Canada
* Starting date: 1st December 2012
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* Deadline: Until filled
* Duration: 1+1 years
+
* Date Posted: March 26, 2014
* Salary: 35000-50000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month)..
+
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
+
  
One position of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing is open in the Department of Computer Science of the Sapienza University of Rome, with a specific focus on statistical machine translation for Asian languages. The position is part of a 5-year ERC Starting Grant on multilingual Word Sense Disambiguation funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidate will participate in a frontier research project and will work in the stimulating environment of a leading and highly-active research team comprising 2 faculty members, 2 post-docs and 6 Ph.D. students.
+
'''Job Description'''
  
'''REQUIREMENTS/QUALIFICATIONS'''
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The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics
 +
Technology Lab to conduct scientific research in the areas of bioinformatics and
 +
genomics, specifically related to automated analysis and annotation of cancer
 +
research literature.
  
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
+
The successful applicant will work with trainees and research scientists in a team
* Strong publication record in Statistical Machine Translation. Publication record in lexical semantics is a plus.
+
that develops tools for a clinical genomics pipeline based on primary sequence
* Willingness to coordinate and supervise part of the research work of the ERC project.
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analysis, to build natural language processing and machine learning tools that
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
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interpret identified mutations for their biological significance as they relate
* Fluent English. Proficiency in at least two major Asian languages. Knowledge of Italian is NOT a requirement.
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to reports in the relevant literature.  
* Solid programming skills.
+
  
'''HOW TO APPLY'''
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'''Duties'''
  
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL3-2012) in the subject line.
+
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
 +
typical duties will include the following:
  
'''ABOUT LA SAPIENZA'''
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* Building natural language processing and machine learning tools for automated literature survey
 +
* Analysis and annotation of data from genomics studies as they relate to the literature
 +
* Collaborating with biologists and clinical researchers on the accuracy of the results
 +
* Reporting research methods and results in meetings, seminars and conferences
 +
* Contribution to and leading scientific publications and research proposals
  
The Sapienza University of Rome is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at the Sapienza. The Sapienza University is an equal opportunity employer.
+
'''Required Qualifications'''
  
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
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The ideal candidate should possess a PhD degree and recent proven experience in computer
 +
science, electrical engineering or a related discipline. A strong publication record in
 +
the field, and demonstrated technical writing skills are highly desirable. Prior research
 +
experience in bioinformatics is also desirable, but not required.
  
The Department of Computer Science is a modern, well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated just beside the main Sapienza University campus and is in easy walking distance of San Lorenzo, a nice lively area with lots of bookshop-cafes, bars and restaurants. Prospective candidates should not be afraid of the language barrier, as Italians are in general very friendly.
+
More experienced candidates will be considered for a Staff Scientist position, pending
 +
successful funding.
  
==Postdoc or Research Associate - Natural Language Processing==
+
'''How to Apply'''
* Employer: IHMC (www.ihmc.us)
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* Rank or Title: Research Associate - Natural Language Processing
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* Specialty: Computational Linguistics, Natural Language Processing, in particular dialogue processing
+
* Location: Ocala, FL
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* Deadline: Applications accepted until position is filled
+
* Date Posted: September 26th, 2012
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* Contact email ywilks@ihmc.us
+
  
'''About Us'''
+
Please send your resume with cover letter to bcgscjobs@bcgsc.ca
IHMC (www.ihmc.us) is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
+
We request that you specify the position you are applying for by identifying the Job Code
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
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only ("PDFBTL 14-03-27") in the subject line of your emailed application.  
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
+
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
+
  
The candidate will be appointed on a new  project on dialogue processing, due to start in the coming months and run for one year initially, with extensions expected. The aim of the project is to produce a prototype conversational Companion-in-an-iPad for a brain-damaged patient in a domestic setting. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
+
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
+
residents will be given priority.  
Required:
+
  
▪ Natural language processing / computational linguistics background. Ideal: dialogue applications experience (in NLP not ASR),
+
'''About Us'''
 
+
▪ Substantial skills in processing corpora. Ideal: Java skills and standard statistical procedures.
+
 
+
▪ Ph.D. in computational linguistics or some equivalent in terms of experience in natural language processing or related areas.
+
 
+
Skills and Experience:
+
 
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▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
 
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▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, RDF-style data, speech-language interfaces, information extraction, text classification, evaluation methodologies.
+
 
+
▪ Familiarity with existing data resources and tools: Wordnet, GATE, Nuance ASR, NLTK, Weka, and similar tools.
+
 
+
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+
 
+
Apply to Yorick Wilks at: ywilks@ihmc.us
+
 
+
 
+
== NLP Research Scientist - Pacific Northwest National Laboratory ==
+
 
+
NLP Research Scientist wanted for work impacting National Security
+
Company: Pacific Northwest National Laboratory
+
Job ID:  301731  http://www.jobs.pnnl.gov/
+
Location:  PNNL - Richland, WA
+
Contact: jill.schroeder@pnnl.gov
+
 
+
This position requires significant contributions to the development and evolvement of natural language processing research at PNNL. The incumbent will possess skills in both natural language processing and software design and development. Expertise in natural language processing should include one or more applications including, but not limited to, information extraction, knowledge base population, machine reading, sentiment analysis and social media analytics. Software development skills should include, but are not limited to, object oriented programming and development, data modeling, building demonstrable and functional prototypes, and contributing to deployment-ready software.
+
 
+
In carrying out these duties, the incumbent will be responsible for maintaining strategic alliances with specified clients, managing individual or small team assignments for multiple projects, performing assignments with minimal oversight, working effectively within interdisciplinary development teams, and contributing to proposals, publications and presentations.
+
 
+
Specific responsibilities include:
+
- apply computational linguistics approaches and algorithms
+
- contribute to the translation of client requests and needs into a set of project requirements and tasks
+
- contribute to software design
+
- construct functional applications and prototypes using PHP, Perl, Python and Java
+
- perform algorithmic development and implementation, especially as they pertain to NLP
+
- evaluate natural language processing methods and results
+
- develop client server and database aware applications
+
- design and implement graphical user interfaces
+
- develop on Linux and Windows environments
+
- effectively manage individual tasks, schedule, workload, budget, and deadlines
+
- contribute to technical presentations and demonstrations of designs, prototypes and operational software to existing and potential clients; group, division, and sector managers
+
- contribute to or lead efforts in publishing research
+
- help grow the natural language processing business portfolio through proposal writing and client engagement
+
 
+
 
+
Responsibilities & Accountabilities:
+
 
+
This position reports to the Technical Group manager for Knowledge Discovery and Informatics within PNNL’s National Security Directorate, and is responsible for work activity as assigned by PNNL project managers for both internal and external clients. The incumbent is expected to develop knowledge of the goals of any projects to which they are assigned and the clients they support. The incumbent is expected to maintain a customer-service focus commensurate with this position.
+
 
+
The incumbent normally receives task instructions from their project managers, which are performed with minimal oversight. The incumbent will work both as task lead, and as a staff member under the direction of project managers and senior software scientists. The incumbent will be expected to attend regular project meetings and KDI group meetings. The incumbent may also be expected to attend offsite team meetings with other team members, clients, and users.
+
 
+
A level II scientist contributes to the completion of project milestones by leading specific tasks of the project to meet scope, schedule and budget. Level II scientists are contributing professionals who are building a professional reputation for their technical expertise in NLP. They are expected to continue to develop their technical expertise and knowledge, and develop new skills.  In addition, strong contributions to the technical content of proposals will be made.
+
 
+
A level III scientist will lead small to moderate research projects, contribute to the completion of programs and projects, and mentor other staff members. Level III scientists will be skilled professionals able to apply existing NLP methods to new work and will maintain skills consistent with the state of the art in NLP.  Level III scientists will generate ideas for new proposals and lead the development of technical content for small to medium proposals, and will contribute to scoping, scheduling and budgeting for projects.  . 
+
Minimum Requirements 
+
Level II:
+
A Bachelor's degree with 2-3 years experience or a Master's degree with 0-2 years experience or a Ph.D. is required.  Expected to contribute professionally, building a professional reputation for technical expertise.  Fully applying and interpreting standard theories, principles, methods, tools and technologies.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States.
+
 
+
Level III:
+
A Bachelor's degree with at least 5 years experience or a Master's degree with 3 years experience or a Ph.D. with 1-2 years experience is required.  Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
+
Qualifications 
+
Professional Expertise: Expertise in NLP algorithm development and strong software design and development skills.
+
 
+
Work-related Experience:
+
- Demonstrated ability and willingness to perform as a team member on multiple projects simultaneously and work effectively in a fast-paced, dynamic team environment with high expectations for quality.
+
- Experience leading project teams in research, design and development a plus.
+
 
+
Breadth of Relevant Specialized Knowledge and Skills:
+
- Well-developed oral and written communication skills, including ability to convey complex technical information accurately.
+
- Above-average client interaction skills including the ability to quickly understand a client’s business needs and communicate at the proper level of detail
+
- Proficient in the use of Windows, Macintosh, and Linux environments 
+
Preferred Education/Credential 
+
A PhD in computational linguistics is preferred.
+
 
+
Level II:
+
PhD in computational linguistics, natural language processing or related field within the last 5 years or Masters of Science in computer engineering, computer science or related field and 1+ years of experience in NLP within the last 5 years
+
 
+
Level III PREFERRED:
+
PhD in computational linguistics, natural language processing or related field and 1-2 years of experience in NLP within the last 5 years  or Masters of Science in computer engineering, computer science or related field and + years of experience in NLP within the last 5 years 
+
Equal Employment Opportunity 
+
Pacific Northwest National Laboratory (PNNL) is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace.  All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
+
Other Information 
+
This position requires the ability to obtain a federal security clearance in a timely manner.  Which requires: 
+
* US Citizenship
+
* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
+
* Drug Testing:  All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing.  In addition, applicants must be able to demonstrate non-use of illegal drugs for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
+
 
+
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs for 12 consecutive months can be demonstrated.
+
 
+
== Faculty Positions (open rank) in multiple areas, particularly Biomedical NLP / Text Mining, The Ohio State University (Columbus, OH, USA) ==
+
* Employer: The Ohio State University, Dept. of Computer Science & Engineering and Dept. of Biomedical Informatics
+
* Rank or Title: Assistant, Associate, or Full Professor
+
* Specialty: Multiple openings, including targeted hire in Biomedical Natural Language Processing / Text Mining
+
* Location: Columbus, OH USA
+
* Deadline: Review of applications will begin in November and continue until the positions are filled
+
* Date Posted: August 30, 2012
+
* Contact email or link to website: http://www.cse.ohio-state.edu/department/positions.shtml
+
 
+
The Computer Science and Engineering Department at the Ohio State University seeks faculty candidates for multiple tenured or tenure-track appointments at the assistant, associate or full professor level. The department is slated for significant growth as part of a multi-year expansion in size and scope, including targeted faculty hires in core areas as well as in areas that bridge CS with other disciplines. The specific searches being conducted this year include:
+
 
+
* One targeted position, open rank, in the area of big data, broadly defined. These include, but are not limited to, applicants that have core training in databases, systems, data analytics, or cloud computing, with experience in managing and analyzing big data stores.
+
* One targeted position, open rank, in the area of cybersecurity, broadly defined. We are specifically interested in applicants with research interests in network security, physical layer/information theoretic security, cyberphysical systems, data privacy, cryptography, or programming language security.
+
* One targeted position, open rank, at the interface of computer science and mathematics broadly defined. We are specifically interested in researchers working in theoretical computer science, scientific computing, or complex systems.
+
* Multiple targeted positions, open rank, jointly searched with the Department of Biomedical Informatics. Priority consideration will be given to applicants whose research interests lie in the processing of biomedical text (e.g. NLP or text mining) as well as those interested in the multi-scale modeling and visualization of high-throughput and/or high-content molecular or image data. Outstanding applicants in other areas at the intersection of biology, clinical science, informatics, and computer science will also be considered.
+
* In addition to the above targeted searches the department is conducting a search for an additional position (open rank) that is open to all areas of computer science and engineering.
+
 
+
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
+
 
+
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
+
 
+
To apply, please submit your application via the online database. The link can be found at: https://www.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
+
 
+
Review of applications will begin in November and will continue until the positions are filled.
+
 
+
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
+
 
+
== Postdoctoral Position in Natural Language Processing in Academia Sinica (Taipei, Taiwan) ==
+
 
+
* Employer: Institute of Information Science, Academia Sinica
+
http://www.sinica.edu.tw
+
 
+
http://www.iis.sinica.edu.tw
+
* PI: Lun-Wei Ku (Language Processing Group)
+
http://www.iis.sinica.edu.tw/pages/lwku/index_en.html
+
 
+
http://nlg18.csie.ntu.edu.tw:8080/lwku/lwku.html
+
 
+
* Rank or Title: Post Doctorial Researcher - Natural Language Processing
+
* Specialty: Computational Linguistics, Natural Language Processing, Information Retrieval, Machine Learning
+
* Location: Taipei, Taiwan
+
* Deadline: open until filled
+
* Date Posted: August 21st, 2012
+
* Start Date: before October, 2012 or after April, 2013
+
* Duration: 1+1+1 years
+
* Contact email: lwku@iis.sinica.edu.tw
+
 
+
'''REQUIRED'''
+
 
+
Ph.D. in computational linguistics / natural language processing or related areas.
+
 
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Natural language processing / computational linguistics background.
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Substantial skills in programming and processing large scale corpora.
+
 
+
Ideal: Java skills and standard statistical procedures.
+
 
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'''SKILLS AND EXPERIENCE'''
+
+
3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
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Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies, sentiment analysis.
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Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, SVMLight, Weka, and similar tools.
+
 
+
Ideal: with experience of interests in processing Asia language (ex. Chinese)
+
 
+
'''PAYMENT'''
+
+
Around 1900~2000 USD/Month, depends on the currency rate.
+
+
'''HOW TO APPLY'''
+
 
+
Apply to Lun-Wei Ku at: lwku@iis.sinica.edu.tw. Please provide your CV, publication list and contact information.
+
 
+
Please also note the date you wish to start the job, and send your documents at your earliest convenience so we can review them asap.
+
 
+
 
+
 
+
== Two Postdoctoral Positions in Natural Language Processing at the Sapienza University of Rome ==
+
* Employer: Sapienza University of Rome
+
* Location: Rome, Italy
+
* Deadline: open until filled
+
* Date Posted: 16th August 2012
+
* Starting date: fall/winter 2012
+
* Duration: 1+1+1 years
+
* Salary: 30000-45000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month).
+
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
+
 
+
Two positions of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing are open in the Department of Computer Science of the Sapienza University of Rome. The positions are part of a 5-year ERC Starting Grant funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidates will participate in a frontier research project on multilingual lexical semantics and will work in a stimulating environment of a leading and highly-active research team including 2 faculty members, 1 postdoc and 6 Ph.D. students.
+
 
+
'''REQUIREMENTS/QUALIFICATIONS'''
+
 
+
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
+
* Strong publication record in Computational Linguistics/Natural Language Processing (see below).
+
* Willingness to coordinate and supervise part of the research work of the ERC project.
+
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
+
* Fluent English. Knowledge of Italian is NOT a requirement.
+
* Solid programming skills: Java and practical expertise with standard NLP tools are required, knowledge of Perl/Python is a plus.
+
 
+
Experience in research project management is a plus.
+
 
+
'''SPECIFIC REQUIREMENTS'''
+
 
+
* POSITION #1 (LCL1-2012): research record in computational lexical semantics, large-scale knowledge acquisition and validation, open information extraction, or data-intensive machine learning
+
* POSITION #2 (LCL2-2012): research record in statistical machine translation, unsupervised acquisition of bilingual/multilingual lexicons, or cross-lingual methods for NLP
+
 
+
'''HOW TO APPLY'''
+
 
+
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL1-2012 or LCL2-2012) in the subject line.
+
 
+
'''ABOUT SAPIENZA'''
+
 
+
The University of Rome "La Sapienza" is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at Sapienza. The Sapienza University is an equal opportunity employer.
+
 
+
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
+
  
The [http://w3.uniroma1.it/dipinfo/english/index.asp Department of Computer Science] is a modern and well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated in a nice lively area with lots of cafes, bars, restaurants, and at walking distance from the city centre. Prominent candidates must not be afraid of the language barrier, as Italians are in general very friendly.
+
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.  
  
== Staff Scientist and Postdoctoral Fellow Positions in Biomedical NLP and Data Mining ==
+
For more information, please visit www.bcgsc.ca
  
* Employer: Cincinnati Children's Hospital Medical Center
+
== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
* Job Title: Staff Scientist and Postdoctoral Fellow Positions
+
* Employer: University of Massachusetts Medical School
* Location: Cincinnati, OH, USA
+
* Title: PostDoc
 +
* Specialty: Natural Language Processing, Machine Learning
 +
* Location: Worcester, Massachusetts, United States, 01605
 
* Deadline: Until filled
 
* Deadline: Until filled
* Date Posted: 8th August 2012
+
* Date Posted: March 26, 2014
* Link to website: https://research.cchmc.org/solti/open-positions
+
* Contact email: Imre.Solti@cchmc.org
+
  
'''Cincinnati Children's Hospital Medical Center'''
 
The Solti Lab at Cincinnati Children's Hospital Medical Center (CCHMC) is inviting candidates to apply to a Research Associate position. This is a permanent  staff scientist position. The lab is funded by multiple CCHMC and NIH grants to extract clinically relevant information from the electronic health record (including narrative text). We have clinical "Big Data" and our mission is to find medically relevant patterns in it.
 
  
The Research Associate, in collaboration with the PI, will lead the NIH funded clinical trial eligibility screening and the Cincinnati-Boston Children's collaborative pediatric eMERGE initiatives and patient safety and health care quality improvement research efforts. The Research Associate will help the postdoctoral fellows in data analysis and publishing the results.
+
'''Job Description'''
  
Qualified candidates for the Research Associate position have earned a PhD in biomedical informatics, bioinformatics, physics, computer science, artificial intelligence, computational linguistics or closely related field. Qualified candidates will arrive with multiple years of productive postdoctoral fellow experience and extensive publication records.
+
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.
  
Research experience with Machine Learning, Natural Language Processing (NLP), and data mining are mandatory. Excellent command of both written and oral English, first author peer reviewed journal publications, strong programming skills and familiarity with Unix/Linux environment for programming are required. Java and Unix cluster computing experiences and familiarity with clinical NLP are preferred.
 
 
The Research Associate will collaborate with physicians, CCHMC research faculty, postdoctoral fellows, and programmers. Ours is a dynamic, fast paced research environment. In order to be successful, the Research Associate will have to enjoy leading and contributing to multiple research projects concurrently.
 
 
We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary. This is a permanent staff position.
 
 
Cincinnati Children's has over one million patient encounters a year and is the second largest recipient of NIH funding among children hospitals. The Division manages a state-of-the-art 500+ CPU computing cluster. The research of the Solti Lab is funded from institutional and external (NIH) grants.
 
 
Interested candidates should send their most recent CV, a brief career statement and three publications in PDF file format to: Imre.Solti@cchmc.org  Include "Research Associate" in the subject line.
 
 
Imre Solti, MD, PhD, MA
 
Assistant Professor
 
Division of Biomedical Informatics &
 
Anderson Center for Health Systems Excellence
 
Cincinnati Children's Hospital Medical Center
 
 
== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==
 
 
'''Curata, Inc.'''
 
Curata, Inc. provides easy-to-use marketing solutions for content curation and content marketing. Curata's product, Curata, allows marketers to easily find, organize and share content on specific issues or topics in order to establish thought leadership, own industry conversations and drive qualified web traffic. Curata was founded in 2007 and is headquartered in Cambridge, Massachusetts. For more information, visit www.curata.com.
 
 
'''Role Description'''
 
We are looking for an individual who enjoys building and shipping code as an engineer, first and foremost, but also enjoys prototyping new product ideas leveraging natural language processing, information retrieval, and machine learning skills. You are a fit if you enjoy experimenting with a large text corpus, innovating new product concepts, and ultimately packaging and shipping your work.
 
 
In the past two years, our customer base, comprising of marketing, information services, and knowledge management professionals, have curated millions of pieces of content through our complex content procurement and processing pipeline. We release new code many times a day, and have fun continually optimizing and enhancing our product. As a start-up, we need someone who can match the high energy and enthusiasm of our team.
 
 
Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.
 
  
 
'''Responsibilities'''
 
'''Responsibilities'''
  
* Prototyping concepts and working with engineering team to see them through deployment.
+
The successful candidates will help investigate new algorithms to
* Suggesting new product concepts.
+
support our current research thrusts. This will require extensive
* Optimizing machine learning algorithms through iterative experimentation and parameter tuning.
+
experience with data mining (DM) and natural language processing (NLP).
* Architect, build and maintain flexible and highly scalable web applications
+
* Participate in the full engineering life cycle from design through implementation and deployment.
+
* Think in terms of the end-user and design accordingly
+
* Actively contribute to product design and feature selection discussions
+
  
'''Preferred Skills and Experience'''
 
* Significant research experience with natural language processing (NLP), information retrieval, machine learning or related fields.
 
* Strong software development skills, preferably with web applications.
 
* Versatile attitude towards technology -- ready and willing to learn and grow on the job.
 
  
'''Location:''' Kendall Square, Cambridge, MA / Boston
+
'''Qualifications'''
  
'''Type:''' Full-Time
+
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:
  
'''Contact:''' engmgt.jobs@curata.com
+
* Natural Language Processing
 +
* Machine Learning
 +
* Data Mining or Data Analysis
  
== Research Fellowship at University of Aberdeen ==
+
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.
  
* Employer: University of Aberdeen
+
Successful applicants will join a vibrant collaborative research
* Job Title: Research Fellow in Natural Language Generation
+
environment, will work closely with clinical investigators and senior
* Location: Aberdeen, UK
+
personnel in the lab, and should have the ability to work effectively
* Deadline: 23rd July 2012
+
both independently and as part of a multidisciplinary team. The
* Date Posted: 11th July 2012
+
position will be for one year, renewable annually, starting Summer or Fall 2014.
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664
+
* Contact email: c.mellish@abdn.ac.uk
+
  
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to do research on natural language generation in the MIME project. MIME (see http://www.dotrural.ac.uk/mime/ ) investigates ways to underpin reconfigured rural emergency response services, by examining how technology could support responders to incidents such as road accidents. It is exploring the use of networked monitors to support decision making and information management in the management of casualties and the automatic generation of handover reports from responders when more expert help arrives.
 
The successful candidate will have a good knowledge of natural language processing techniques in general (at the postgraduate level) and preferably some practical experience with NLG. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering.
 
  
This post is funded by the EPSRC and it is anticipated that the project activities will be completed within 9 months of the agreed start date. This appointment will be made subject to the usual terms and conditions of employment of the University.
+
'''How to Apply'''
  
== Executive Director at University of Maryland ==
+
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.
  
** Employer:  University of Maryland, Center for Advanced Study of Language (CASL)
 
** Title:  Executive Director
 
** Location:  College Park, MD
 
** Deadline:  Open until filled
 
** Date Posted:  July 2, 2012
 
** Link to website:  http://jobs.umd.edu/applicants/Central?quickFind=57086
 
** Contact email:  tswallst@umd.edu
 
  
The University of Maryland, College Park, invites applications for the position of Executive Director of the Center for Advanced Study of Language (CASL). Since its establishment in 2003, CASL’s mission has been to conduct cutting-edge research that results in improved performance on foreign language and analysis tasks relevant to the work of government language professionals. Visit www.casl.umd.edu for more information about CASL.
+
'''Background'''
  
'''DUTIES:'''  The Executive Director (ED) has leadership responsibility for research, operations, strategic planning, and compliance with university and government requirements and regulations associated with CASL’s designation as a University Affiliated Research Center (UARC). The ED’s duties include developing and implementing the US Government-approved research agenda; developing and managing external relations and outreach to academia, industry, and government for purposes of collaborative research and consultation; and overseeing relevant UARC-designated activities and outreach, collaboration, education, policy and evaluation. The ED ensures the hiring and retention of the best researchers and research managers in CASL’s core compentencies and other relevant disciplines as well as highly qualified financial, information technology, operations, logistics, and security support staff. In addition to aligning CASL’s strategic plan with its mission to meet the needs of clients, the ED provides leadership in identifying opportunities for partnering and collaborating with academic departments and other research centers on campus. The ED reports to the Vice President for Research and directly supervises the directors of CASL’s various units.  
+
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
  
'''QUALIFICATIONS:''' Candidates must have an advanced degree, preferably a Ph.D., in a discipline related to one of CASL’s core competencies (e.g., Less Commonly Taught Languages and Cultures; Second Language Acquisition; Computational Linguistics; Linguistics; Cognitive or Social Psychology; Cognitive Science or Cognitive Neuroscience), with a distinguished record of scholarly achievement and/or leadership in one or more areas relevant to the research foci of the center. Candidates' experience, research and publications should show evidence of ability to tackle complex, interdisciplinary research and to work collaboratively with a range of institutions and researchers. Experience working closely with US government and/or industry colleagues in non-academic settings is essential. Candidates must qualify for an academic appointment either as a tenured professor or as a professor of the practice in a department consistent with their background.
+
Competitive Salary based on experience.
  
'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''
+
== Knowledge Engineer / Bosch Research & Technology Center / Palo Alto, California ==
  
'''TO APPLY:''' For best consideration, applicants should submit a letter of application, CV, and contact information for three professional references online at http://jobs.umd.edu click on “Faculty” (or direct link: http://www. jobs.umd.edu/applicants/Central?quickFind=57086)  by Monday, August 20, 2012.  Address questions to the search committee chair, Professor Thomas S. Wallsten, at tswallst@umd.edu
+
* 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
  
The University of Maryland, College Park, actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, or political affiliation. Minorities and women are encouraged to apply. The University of Maryland offers an excellent benefits package which includes: health benefits, retirement plans, generous leave package, flexible spending accounts, tuition remission, and long-term, disability, and life insurance. Please visit the University’s web page at http://www.uhr.umd.edu/benefits/ to see a full list of benefits and the providers.
+
'''Job Description:'''
  
== Several Positions in Data2Text (Natural Language Generation) ==
+
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.
  
* Employer: Data2Text
+
To strengthen our team, we are seeking enthusiastic and creative engineer in knowledge engineering and language processing to develop world class Bosch products.  
* Job title: Natural Language Generation Engineer, Analytics Engineer, Lead Engineer
+
* Specialty: natural language generation, analytics
+
* Location: Aberdeen, Scotland, UK
+
* Deadline: 29 June 2012
+
* Date posted: 8 June 2012
+
* Link to website: http://www.data2text.com/careers
+
  
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
+
'''Responsibilities:'''
research group.  We are looking to hire several people; please see our website for details
+
http://www.data2text.com/careers
+
  
This is a great opportunity for people who are keen on getting NLG technology
+
* Develop the next-generation software products in the areas of user interaction technologies and systems
out into the real world.  In addition to the advertised positions, we're happy to talk
+
* Develop scalable and reliable solutions of such systems for 24/7 use
to people who are knowledgeable about NLG and keen to develop commercial applications,
+
* Develop knowledge engineering technologies and tools for different Bosch application fields
but whose profiles do not fit the advertised positions.
+
* Manage knowledge development process and tool development
  
Information inquiries (from the ACL community) should be sent to Ehud Reiter
+
'''Qualifications:'''
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
+
  
== Associate Research Scientist (SPEECH) at Educational Testing Service ==
+
* 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
  
* Employer: Educational Testing Service (www.ets.org)
+
'''How to Apply'''
* Job Title: Associate Research Scientist (SPEECH)
+
* Location: Princeton, NJ
+
* Deadline: Open until filled
+
* Date Posted: 16-May-2012
+
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]
+
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
+
For more information, and to apply online, please visit http://bit.ly/1odx96w
  
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
== 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
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
'''Job Description:'''
  
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.
+
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.
+
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.  
+
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
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 and oversee the conduct of selected portions of research proposals and project budgets.
+
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.
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
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.
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
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.
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
'''Requirements:'''
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
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:'''
'''EXPERIENCE AND SKILLS'''
+
  
EDUCATION
+
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
  
Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.
+
'''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.
  
EXPERIENCE
+
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
  
Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).
+
== 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:'''
'''APPLYING'''  
+
  
Interested parties can apply for the position through the following website:
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@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)  
  
== Associate Research Scientist (NLP) at Educational Testing Service ==
+
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.
  
* Employer: Educational Testing Service (www.ets.org)  
+
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.  
* Job Title: Associate Research Scientist (NLP)
+
* Location: Princeton, NJ
+
* Deadline: Open until filled
+
* Date Posted: 16-May-2012
+
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]
+
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
+
'''Requirements:'''
  
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
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.  
+
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
  
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field.  
+
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.  
  
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.
 
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.
+
'''How to Apply:'''
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
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.
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
 
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
'''Information about the institute:'''
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
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.
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
 
  
+
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
'''EXPERIENCE AND SKILLS'''
+
  
EDUCATION
+
* 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
  
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.
+
'''Information about the institute:'''
+
EXPERIENCE
+
+
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset.
+
  
+
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).
'''APPLYING'''
+
  
Interested parties can apply for the position through the following website:  
+
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.
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend
 
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
'''Job Description:'''
  
== Associate Research Engineer at Educational Testing Service ==
+
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
  
* Employer: Educational Testing Service (www.ets.org)
+
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
* Job Title: Associate Research Engineer
+
* Location: Princeton, NJ
+
* Deadline: Open until filled
+
* Date Posted: 15-May-2012
+
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]
+
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
+
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).
  
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
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).
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies.  
+
  
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.
+
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
  
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.
+
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.  
  
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.
+
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
  
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
+
'''Requirements:'''
  
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
+
* 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;
  
* Implement components of technical documentation of NLP software systems, solutions and results.
+
Experience in automated language processing, text mining or digital humanities is preferred.
  
* Attend area-wide staff training and development sessions.  
+
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.  
+
'''EXPERIENCE AND SKILLS'''
+
  
EDUCATION
 
  
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
+
'''How to apply:'''
+
EXPERIENCE
+
  
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.
+
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.
  
OTHER REQUIREMENTS
 
* Knowledge of UNIX and Windows computing environments.
 
  
* Familiarity with UNIX tools and scripting languages.
 
  
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.
+
== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
  
* Excellent verbal and written communication skills.
+
* 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:'''
'''APPLYING'''
+
  
Interested parties can apply for the position through the following website:
+
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).
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend
+
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.
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
'''Job Description:'''
  
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
+
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
  
* Employer: Austrian Research Institute for Artificial Intelligence
+
* Research Scientist (two-year contract, full time, EG13 TV-H*)
* Group: Language Technology
+
* Title: Junior Researcher
+
* Requirements:
+
** Permission to work within the European union
+
** Excellent English language skills; knowledge of the German language is a plus
+
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)
+
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)
+
** Programming skills in C++, Perl and/or Java
+
** Strong ability to work independently and drive an original research agenda
+
* Deadline:  June 15, 2012
+
* Date Posted: May 14, 2012
+
* Contact: harald.trost@ofai.at
+
  
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties".  
+
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
  
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.
 
  
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.
+
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.
  
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
+
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.
  
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).
+
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.
  
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.
+
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.  
  
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.
+
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
  
  
== Junior Research Group Leaders at Saarland University ==
+
'''Requirements:'''
  
* Employer: Saarland University, Germany
+
- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
* Division: MMCI Cluster of Excellence
+
- Very good English language skills (written and spoken) and at least basic skills in German;
* Title: Junior Research Group Leaders
+
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
* Job ID: W490
+
- Experience in coordinating distributed software development and its Integration;
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)
+
- Experience in conceptualising and conducting events for scientists, users, and the public.
* Location: Saarbrücken, Germany
+
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.
* Deadline:  April 30, 2012
+
* Date Posted: April 4, 2012
+
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
+
  
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.
+
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
  
Deadline for applications is April 30th, 2012.
+
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.  
  
For the complete announcement see:
 
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
  
 +
'''How to apply:'''
  
Additional information on the excellence cluster is available on
+
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.
http://www.mmci.uni-saarland.de/
+
  
  
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. 
+
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
  
== Scientist Position in Statistical Machine Translation at Microsoft ==
+
* Employer: Institute of Information Science, Academia Sinica
 
+
* Rank or Title: Assistant/Associate/Full Research Fellow
* Employer: MICROSOFT
+
* Specialty: Chinese Natural Language Processing and Knowledge Representation
* Division: Online Services Division
+
* Location: Taipei, Taiwan
* Title: Scientist Position
+
* Job ID: 789594
+
* Specialty: Statistical Machine Translation
+
* Location: Bellevue, WA or Mountain Vew, CA
+
* Deadline: As soon as possible
+
* Date Posted: March 30, 2012
+
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN
+
 
+
Scientist Position in Statistical Machine Translation
+
+
Research and Development Opportunities for Next Generation Technology at Microsoft
+
+
Do you want to impact billions of people all over the world with speech technology that you create?
+
 
+
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation,
+
weighted finite state transducers, natural language processing and machine learning will be preferred.
+
+
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages.
+
 
+
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.
+
 
+
 
+
 
+
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==
+
 
+
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley
+
* Title: Post MS, Post Doc, or above
+
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning
+
* Location: Mountain Vew, CA
+
* Deadline: As soon as possible
+
* Date Posted: March 21, 2012
+
* Contact: patrick.w.langley@gmail.com
+
 
+
An ongoing project has an opening for a researcher who will help extend
+
Icarus, a cognitive architecture, to reason about other agents' mental
+
states in the context of dialogues and joint activities. The framework
+
uses a logical formalism to encode knowledge, beliefs, and goals, and
+
it relies on a form of abduction to make plausible inferences. Experience
+
in building reasoning systems that operate over rich representations is
+
essential, and a background in applied logic, knowledge-based systems,
+
and/or cognitive architectures is highly desirable.
+
 
+
The location of the project will be Carnegie Mellon's Silicon Valley
+
Campus. The start date is negotiable, but the position will be available
+
on May 1, 2012, and the project has funding for another two years.
+
Interested parties should send their curriculum vitae, along with
+
the contact details for two or more references, to Pat Langley
+
<patrick.w.langley@gmail.com>.
+
 
+
 
+
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==
+
 
+
* Employer: Illinois Institute of Technology
+
* Title: Postdoc
+
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor
+
* Location: Chicago, IL
+
* Deadline: As soon as possible
+
* Date Posted: March 13, 2012
+
* Contact: argamon@iit.edu
+
 
+
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.
+
 
+
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.
+
 
+
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.
+
 
+
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding.
+
 
+
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.
+
 
+
Review of applications will begin immediately and continue until the position is filled.
+
 
+
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==
+
 
+
* Employer: Google
+
* Job title: Postdoc
+
* Specialty: Natural Language Processing, Machine Learning, summarization
+
* Location: Zurich, Switzerland
+
* Deadline: we are looking to fill the position soon
+
* Date posted: 1 March 2012
+
 
+
A post-doctoral position in the area of automatic text summarization
+
within the RENDER project is available at the Google Switzerland R&D
+
office. RENDER is a EU FP7 research project focused on identifying
+
diversity of opinions, viewpoints, mindsets and backgrounds in texts
+
from different sources: news, (micro) blog streams, and in
+
collaboratively written resources like Wikipedia. More information on
+
the project goals is available at http://render-project.eu/.
+
 
+
The duration of the post-doctoral contract will be one year, with the
+
possibility of renewing for a second year. This position will allow
+
the candidate to perform research on several NLP-related areas,
+
to interact with the consortium partners and with other Google-internal
+
research and development projects, and to apply the results of the
+
research to real applications with a potentially large impact.
+
 
+
Requirements:
+
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.
+
* Extensive programming experience in C/C++.
+
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
+
* Fluency in English.
+
 
+
Responsibilities:
+
* Perform research in the context of the project (text summarization).
+
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.
+
* Publish the result of the research in top conferences or journals.
+
* Be available to attend project meetings with the partners in the project.
+
 
+
For applying to this position, please send an e-mail to Enrique
+
Alfonseca (ealfonseca@google.com) including a paragraph on why you
+
think you are a right person for the role, and a brief CV.
+
 
+
== 4 PhD positions in spoken dialogue systems research ==
+
 
+
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague
+
* Job title: 4 PhD positions in spoken dialogue systems research
+
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing
+
* Location: Prague, Czech Republic
+
* Deadline: 1 June 2012
+
* Date posted: 16 February 2012
+
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs
+
 
+
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.
+
 
+
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing.
+
 
+
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering  or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.
+
 
+
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities.
+
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.
+
 
+
 
+
== PhD-position in sentiment mining and reputation analysis==
+
 
+
* Employer: Erasmus University Rotterdam
+
* Job title: PhD-student
+
* Specialty: text mining, sentiment analysis, topic detection, reputation management
+
* Location: Rottterdam, The Netherlands 
+
* Deadline: 1 March 2012
+
* Date posted: 6 February 2012
+
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
+
 
+
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.
+
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. 
+
 
+
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
+
 
+
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
+
 
+
== PhD-position in folktale classification and clustering ==
+
* Employer: University of Twente
+
* Job title: PhD-student
+
* Specialty: text classification, document clustering, natural language processing
+
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands
+
* Deadline: 4 March 2012
+
* Date posted: 6 February 2012
+
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425
+
 
+
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers.  The PhD-student will work on automatic classification of Dutch folktales by their international folktale type  and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.
+
 
+
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute.
+
 
+
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
+
 
+
==Research Associate Position at Educational Testing Service==
+
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
+
* Job Title: Research Associate
+
* Location: Princeton, NJ
+
 
* Deadline: Open until filled
 
* Deadline: Open until filled
* Date Posted: 28-Jan-2012
+
* Date Posted: January 7, 2014
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
+
* Contact email: recruit@iis.sinica.edu.tw
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
+
'''Job Description:'''
  
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation.  
+
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.
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
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.
  
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
+
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.
  
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
+
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
  
* Plan and manage annotations for a variety of projects.
+
'''Required Qualifications:'''
  
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.
+
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.
  
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.
+
Fluency in Chinese is an advantage, but not required.
  
* Design original research instruments and methods and applications of research.
+
'''How to Apply:'''
 
+
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers.
+
 
+
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.
+
 
+
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.
+
 
+
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.
+
 
+
* Contact, establish, and develop relationships with research community and with data sources.
+
 
+
* Arrange and attend conferences and meetings; present research findings at professional meetings.
+
 
+
'''EXPERIENCE AND SKILLS'''
+
 
+
EDUCATION
+
 
+
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
+
 
+
EXPERIENCE
+
 
+
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects.
+
 
+
APPLYING
+
 
+
Interested parties can apply for the position through the following website:
+
 
+
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
+
 
+
If there are any questions, please contact:
+
 
+
Dave Yanchuk
+
(609) 406-5291
+
dyanchuk@ets.org
+
 
+
 
+
==Postdoc Position at HRL Laboratories==
+
* Employer: HRL Laboratories, LLC
+
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
+
* Location: Malibu, CA
+
* Deadline: Open until filled
+
* Date Posted: 26-Jan-2012
+
* Contact email: hmoon@hrl.com
+
 
+
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information.
+
For job considerations, please send your cover letter and CV to hmoon@hrl.com.
+
 
+
Job Description:
+
 
+
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
+
 
+
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.
+
 
+
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources.
+
 
+
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus.
+
 
+
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.
+
 
+
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.
+
 
+
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
+
 
+
==Postdoc or Research Associate - Natural Language Processing==
+
* Employer: IHMC (www.ihmc.us)
+
* Rank or Title: Research Associate - Natural Language Processing
+
* Specialty: Computational Linguistics, Natural Language Processing
+
* Location: Ocala, FL
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: January 3rd, 2012
+
* Contact email ywilks@ihmc.us
+
 
+
'''About Us'''
+
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
+
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
+
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
+
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
+
  
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
+
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
+
Required:
+
  
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
+
Dr. Wen-Lian Hsu, Director
  
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
+
Institute of Information Science
  
▪ Ph.D. in computational linguistics / natural language processing or related areas.
+
Academia Sinica
  
Skills and Experience:
+
Nankang 115, Taipei, Taiwan
  
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
TEL: 886-2-2788-3799ext.1804
  
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.
+
FAX:886-2-2782-4814
  
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
+
E-mail: recruit@iis.sinica.edu.tw
  
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
  
Apply to Yorick Wilks at: ywilks@ihmc.us
+
* 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.
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
+
* Employer: Queens College of the City University of New York
+
* Location: New York, NY
+
* Deadline: Review of applications to begin on March 1, 2012
+
* Website: http://www.cs.qc.cuny.edu/
+
* Date posted: January 4, 2012
+
  
'''Visiting Assistant/Associate/Full Professor'''
+
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
  
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1.  This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.
+
'''Detailed Job Description:'''
  
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience.  Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors. If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.
+
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 department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research.  More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/
+
The ideal appointee will conduct development and extensive testing of:
  
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.
+
* general-purpose software to support symbolic-level computation over gradient symbol structures
  
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
  
Dr. Matt Huenerfauth, Search Committee Chair
+
* new machine-learning algorithms, including deep compositional networks
  
Department of Computer Science
+
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  
Queens College-CUNY
+
* new psycholinguistic models of human syntactic production and comprehension processes
  
65-30 Kissena Blvd.  
+
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.  
  
Flushing, New York 11365-1597
+
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
  
matthew.huenerfauth (at) qc.cuny.edu
+
'''How to Apply:'''
  
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.
+
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.  
  
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification.  We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply.  We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.
+
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.

Latest revision as of 14:49, 27 March 2014

Contents

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.

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