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* See also the [http://linguistlist.org/jobs Linguist Job List].
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== Professor & Director at University of Maryland ==
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==Research Scientist at the Allen Institute for Artificial Intelligence==
  
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** Employer: University of Maryland, Center for Advanced Study of Language (CASL)
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* Employer: Allen Institute for Artificial Intelligence (AI2)
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** Title: Executive Director
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* Title: Research Scientist
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** Location: College Park, MD
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* Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
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** Deadline: Open until filled
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* Location: Seattle, WA
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** Date Posted: July 2, 2012
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* Deadline: N/A, we are hiring throughout 2016
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** Link to website: http://jobs.umd.edu/applicants/Central?quickFind=57086
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* Date posted: 02/09/2016
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** Contact email:  tswallst@umd.edu
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* Contact information: ai2-info@allenai.org
 +
* Website: http://allenai.org/jobs.html
  
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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.  
+
'''Job Description'''
 +
 +
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.  
  
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'''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. 
+
'''Position Summary'''
  
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'''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.
+
AI2 currently has projects in the following areas:
  
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'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''
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* Language and Vision
 +
* Information extraction and semantic parsing
 +
* Question answering
 +
* Language and reasoning
 +
* Machine learning and theory formation
 +
* Semantic search
 +
* Natural language processing
 +
* Diagram understanding
 +
* Visual knowledge extraction and visual reasoning
  
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'''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
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And more….  
  
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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.  
+
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.  
  
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== Several Positions in Data2Text (Natural Language Generation) ==
+
'''Applicant'''
  
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* Employer: Data2Text
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Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.  
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* Job title: Natural Language Generation Engineer, Analytics Engineer, Lead Engineer
 
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* Specialty: natural language generation, analytics
 
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* Location: Aberdeen, Scotland, UK
 
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* Deadline: 29 June 2012
 
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* Date posted: 8 June 2012
 
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* Link to website: http://www.data2text.com/careers
 
  
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Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
+
'''Why AI2'''
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research group.  We are looking to hire several people; please see our website for details
 
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http://www.data2text.com/careers
 
  
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This is a great opportunity for people who are keen on getting NLG technology
+
In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:
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out into the real world.  In addition to the advertised positions, we're happy to talk
 
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to people who are knowledgeable about NLG and keen to develop commercial applications,
 
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but whose profiles do not fit the advertised positions.
 
  
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Information inquiries (from the ACL community) should be sent to Ehud Reiter
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* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
−
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
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* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
 +
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
 +
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
 +
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
 +
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!
  
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== Research Fellowship at University of Aberdeen ==
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'''Application Process'''
  
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* Employer: University of Aberdeen
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Visit our website for more information: http://allenai.org/jobs.html
−
* Job Title: Research Fellow in Computational Linguistics
 
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* Location: Aberdeen, UK
 
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* Deadline: 28th June 2012
 
−
* Date Posted: 22-May-2012
 
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* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", enter "Computational Linguist" under Search Vacancy Title and click "search"]
 
−
* Contact email: c.mellish@abdn.ac.uk
 
  
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Research at Aberdeen is seeking to build a dialogue system allowing a person who is building a semantic web ontology to ask ‘what if …?’ questions about possible additions and changes to the ontology and get meaningful answers. This involves automated reasoning about what the consequences of a change in the ontology would be and intelligent presentation of the results. Because in general there will be infinitely many new logical consequences, the system will have to understand something about what the person is trying to do and what sorts of results will be most interesting to them. It is assumed that this information can best be provided by the person in the context of a natural dialogue system.
 
  
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We are seeking a Computational Linguist to lead the theoretical and practical design and development of the dialogue system (other researchers will be investigating issues of efficient reasoning and issues of how to model the process of ontology authoring). The dialogue system is expected to use structured input (including an approach to specifying complex content based on “editing” natural text (see paper by Power in European Workshop on Natural Language Generation 2009) rather than free natural language text or speech, but nevertheless is required to be natural and to select and present information coherently.
+
==Software Engineer  - Machine Learning / NLP (Chinese) at SYSTRAN==
  
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You should have, or be about to acquire, a PhD in Computer Science/ Artificial Intelligence/ Computational Linguistics, with experience of natural language processing research at the postgraduate level and experience of implementing software for users. Research interests in conversational implicature/ relevance, logics and reasoning, dialogue moves and structures, the semantic web and requirements elicitation/ evaluation with users would all be advantageous but are not essential.
+
* Employer: SYSTRAN
−
 
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* Title: Software Engineer
−
== Associate Research Scientist (SPEECH) at Educational Testing Service ==
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* Topics: Machine Learning, Natural Language Processing, Machine Translation
−
 
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* Location: San Diego
−
* Employer: Educational Testing Service (www.ets.org)
+
* Deadline: Open until filled
−
* Job Title: Associate Research Scientist (SPEECH)
+
* Date Posted: January 29, 2016
−
* Location: Princeton, NJ
+
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na
−
* Deadline: Open until filled  
 
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* 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'''
 
  
−
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).
+
SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.
  
 +
The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.
  
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'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.
  
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* 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.
+
'''Key Qualifications'''
−
+
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
−
* 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.
+
* Good algorithmic knowledge of machine learning
 +
* Experience writing and debugging software
 +
* Strong communications skills
 +
* Ability to work well as part of a team
 +
* Fluent in English.
 +
* Fluent in Chinese is a plus
  
−
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
'''Education and Experience'''
 +
* MS or Ph D  in Computational Linguistics / Computer Science or relevant field.
 +
* 2+ years work experience preferred
  
−
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
'''Benefits'''
 +
* Successful candidates will be offered a competitive salary based on their qualifications and experience.
  
−
* 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.
+
==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==
  
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* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
* Employer: University of Dundee
 +
* Title: Lecturer/Senior Lecturer/Reader
 +
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
 +
* Location: Dundee, UK
 +
* Deadline: 27 February 2016
 +
* Date Posted: 12 January 2016
 +
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)
  
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* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
£34,576 to £55,389 Full Time, Permanent
  
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+
The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.
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'''EXPERIENCE AND SKILLS'''
 
  
−
EDUCATION
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For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.
  
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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.
+
'''Summary of Job Purpose and Principal Duties'''
  
 +
The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each
 +
group can be found in the Further Particulars.
  
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EXPERIENCE
+
The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal
 +
Fellowships.
  
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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).
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Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.
  
 +
'''Job Summary'''
  
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The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:
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'''APPLYING'''
 
  
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Interested parties can apply for the position through the following website:
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* Contribute to the ongoing research in one of the three research groups described above.
 +
* Contribute to the generation of external research funding.
 +
* Publish in high quality research journals and major international conferences.
 +
* Teach at undergraduate and post-graduate level.
 +
* Supervise students at all levels (honours and MSc projects, PhD).
 +
* Undertake administrative duties.
  
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http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
'''Application Requirements'''
  
−
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
In addition to the online form, applicants must include with their application:
  
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== Associate Research Scientist (NLP) at Educational Testing Service ==
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* Cover letter outlining fit to role.
 +
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
 +
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.
  
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* Employer: Educational Testing Service (www.ets.org)
 
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* Job Title: Associate Research Scientist (NLP)
 
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* Location: Princeton, NJ
 
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* Deadline: Open until filled
 
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* Date Posted: 16-May-2012
 
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* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]
 
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* Contact email: dyanchuk@ets.org
 
  
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'''JOB DESCRIPTION'''
+
==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==
−
 
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* Employer: US Naval Research Laboratory
−
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).
+
* Title: Postdoctoral Research Fellow
−
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* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
−
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
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* Location: Washington, DC
−
 
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* Deadline: Open until filled
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* 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.
+
* Date Posted: January 20, 2016
−
 
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* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)
−
* 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.
 
−
 
 
−
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
 
−
 
 
−
* 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.
 
−
 
 
−
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
 
−
 
 
−
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
 
−
 
 
−
 
−
'''EXPERIENCE AND SKILLS'''
 
−
 
 
−
EDUCATION
 
−
 
 
−
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.
 
−
 
−
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.
 
−
 
 
−
 
−
'''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=124335&type=True&cfcend
 
−
 
 
−
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
 
−
 
 
−
== Associate Research Engineer at Educational Testing Service ==
 
−
 
 
−
* Employer: Educational Testing Service (www.ets.org)
 
−
* 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'''
 
−
 
 
−
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).
 
−
 
 
−
 
−
'''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.
+
'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.
  
−
* 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.
+
'''Supervisor''': Sunny Khemlani, PhD
  
−
* 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.
+
'''Key qualifications''':  A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.
  
−
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.
  
−
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
+
'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.
  
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* Implement components of technical documentation of NLP software systems, solutions and results.
+
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.
  
−
* Attend area-wide staff training and development sessions.
 
−
 
−
'''EXPERIENCE AND SKILLS'''
 
  
−
EDUCATION
+
==Internship positions available at Juji, Inc.==
 +
* Employer: Juji, Inc.
 +
* Title: Intern
 +
* Location: Saratoga, CA
 +
* Deadline: open until all the positions are filled
 +
* Date Posted: January 14, 2016
  
−
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
+
'''Description''':
−
   
+
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs.   
−
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.
+
We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.
  
−
OTHER REQUIREMENTS
+
We have multiple positions on two main tracks:
−
* Knowledge of UNIX and Windows computing environments.
 
  
−
* Familiarity with UNIX tools and scripting languages.
+
* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.
  
−
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.  
+
* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.
  
−
* Excellent verbal and written communication skills.
+
'''Qualifications'''
 +
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.  
  
 +
'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.
 
   
 
   
−
'''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=124339&type=True&cfcend
 
−
 
−
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
 
−
 
−
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
 
−
 
−
* Employer: Austrian Research Institute for Artificial Intelligence
 
−
* 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".
 
−
 
−
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.
 
−
 
−
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
 
−
 
−
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).
 
−
 
−
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.
 
−
 
−
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.
 
−
 
−
 
−
== Junior Research Group Leaders at Saarland University ==
 
−
 
−
* Employer: Saarland University, Germany
 
−
* Division: MMCI Cluster of Excellence
 
−
* Title: Junior Research Group Leaders
 
−
* Job ID: W490
 
−
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)
 
−
* Location: Saarbrücken, Germany
 
−
* 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.
 
−
 
−
Deadline for applications is April 30th, 2012.
 
−
 
−
For the complete announcement see:
 
−
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
−
 
−
 
−
Additional information on the excellence cluster is available on
 
−
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. 
 
−
 
−
== Scientist Position in Statistical Machine Translation at Microsoft ==
 
−
 
−
* Employer: MICROSOFT
 
−
* Division: Online Services Division
 
−
* 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,
+
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
−
weighted finite state transducers, natural language processing and machine learning will be preferred.
+
* Employer: Brigham and Women's Hospital / Harvard Medical School
−
+
* Title: Postdoctoral Research Fellow
−
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.
+
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
−
 
+
* Location: Boston, MA
−
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 8, 2016
−
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
+
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
−
* Contact email: dyanchuk@ets.org
 
−
 
 
−
'''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.
 
−
 
 
−
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
−
 
 
−
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
 
−
 
 
−
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
 
−
 
 
−
* Plan and manage annotations for a variety of projects.
 
−
 
 
−
* 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.
 
  
−
* 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.
+
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.
  
−
* Design original research instruments and methods and applications of research.
+
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
  
−
* 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.  
+
'''Required skills''':  experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.
  
−
* 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.
+
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
  
−
* 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.
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
  
−
* 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.
+
'''Available''': Immediately.
  
−
* Contact, establish, and develop relationships with research community and with data sources.
+
'''Compensation''': according to NIH (NRSA) stipend levels.
  
−
* Arrange and attend conferences and meetings; present research findings at professional meetings.  
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.  
  
−
'''EXPERIENCE AND SKILLS'''
+
==Internship positions available in Natural Language Processing at Adobe Research==
 +
* Employer: Adobe Systems Incorporated
 +
* Title: NLP Scientist Intern
 +
* Natural Language Processing, Machine Learning, Question Answering and Dialog Systems.
 +
* Location: San Jose, CA
 +
* Deadline: open until all the positions are filled
 +
* Date Posted: December 23, 2015
 +
* Trung Bui: bui@adobe.com
  
−
EDUCATION
+
'''Description''':
 +
We are looking for several NLP scientist interns who will work on semantic understanding, question answering and dialog systems to improve Adobe digital media and digital marketing products.
 +
The internship will be at the Medial Intelligence Lab under the Imagination Lab at Adobe Research (http://www.adobe.com/technology.html) located in San Jose, California. It is 13 weeks long and can start any time from March 1, 2016.
  
−
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
+
'''Key Qualifications'''
 +
*Experience with semantic parsing, question answering and dialog systems.
 +
*Experience with machine learning, deep learning.
 +
*Good programming skills in Java/C++ and/or Python
  
−
EXPERIENCE
+
'''Education'''
 +
M.S. or PhD student in Computer Science or related field
  
−
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.  
+
'''Additional Requirements'''
 +
No.
  
−
APPLYING
+
== Associate Research Scientist at UKP Lab, TU Darmstadt ==
 +
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], Department of Computer Science, Technische Universität Darmstadt
 +
* Title: Associate Research Scientist
 +
* Speciality: Natural Language Processing
 +
* Location: Darmstadt, Germany
 +
* Deadline: January 15, 2016
 +
* Date posted: December 23, 2015
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
  
−
Interested parties can apply for the position through the following website:
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an '''Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years)''' to strengthen the group's profile in the area of Computational Argumentation. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Computational Argumentation is one of the rapidly developing focus areas in collaboration with industrial partners.
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
+
We ask for applications from candidates in Computer Science, Information Systems, Business Information Technology, or Computational Linguistics, preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of computational argumentation (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and experience in information retrieval, large-scale data processing and machine learning. In particular, experience with deep-learning is a strong plus. Combining fundamental NLP research on Computational Argumentation with industrial applications from different application domains will be highly encouraged.
  
−
If there are any questions, please contact:
+
UKP's wide cooperation network both within its own research community and with partners from industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web" and the recently established Research Training Group "Adaptive Information Processing of Heterogeneous Content" (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.
  
−
Dave Yanchuk
+
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).
−
(609) 406-5291
 
−
dyanchuk@ets.org
 
  
 +
Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 15 January 2016. The position is open until filled. Later applications may be considered if the position is still open.
  
−
==Postdoc Position at HRL Laboratories==
+
== Postdoctoral Researcher position in NLP/Computational Social Science at UPenn ==
−
* Employer: HRL Laboratories, LLC
+
* Employer: Computer & Information Science, University of Pennsylvania, USA
−
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
+
* Title: Postdoctoral Researcher
−
* Location: Malibu, CA
+
* Speciality: Natural Language Processing, Computational Social Science
−
* Deadline: Open until filled
+
* Location: Philadelphia, USA
−
* Date Posted: 26-Jan-2012
+
* Deadline: January 15, 2016
−
* Contact email: hmoon@hrl.com
+
* Date posted: December 21, 2015
 +
* Contact: applications@wwbp.org
  
−
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.
+
We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.
−
For job considerations, please send your cover letter and CV to hmoon@hrl.com.  
 
  
−
Job Description:
+
The ideal candidate will have research experience in computational linguistics and applied machine learning. She or he will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwbp.org for example publications.
  
−
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
+
* Application Deadline: January 15, 2015
 +
* Approximate Start Date: March 1, 2016 (but flexible)
  
−
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.  
+
How to Apply: Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.
  
−
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.  
+
The University of Pennsylvania is an EOE/Affirmative Action Employer. Position contingent on funding.
  
−
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.  
+
Primary Contact: Professor Lyle Ungar, ungar@cis.upenn.edu
  
−
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.  
+
== Multiple positions as Full-time researcher, Post-doc researcher, Software Engineer and Summer Intern in IBM Research - Almaden, San Jose ==
 +
* Employer: IBM Research - Almaden
 +
* Title: Researcher, Software Engineer, Post-doc, Summer Intern
 +
* Speciality: natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management
 +
* Location: San Jose, CA
 +
* Deadline: (until filled)
 +
* Date posted: December 18, 2015
 +
* Contact: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
  
−
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.
 
  
 +
IBM Research - Almaden is looking for researchers to join the Natural Language Processing, Entity Resolution and Discovery Department. Our research focuses around creating a knowledge engineering platform for the creation, maintenance and consumption of “industry-specific” knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such a platform needs to support the entire lifecycle for knowledge engineering including:
 +
* creation, maintenance and evolution of ontologies to capture domain concepts of interest
 +
* scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources such as text analytics, entity resolution and integration, cleansing, data transformations and machine learning; supporting domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
 +
* scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
 +
* techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
 +
* easy-to-use knowledge consumption interfaces for both human and machine consumption including support for  discovery and ad-hoc NLQ driven interfaces
 +
* incorporating crowd sourcing and continuous evolution of the system through learning from user interactions.
  
−
==Postdoc Position at Aberdeen University==
 
−
* Employer: University of Aberdeen
 
−
* Rank: Post-doctoral Research fellow
 
−
* Speciality: Intelligent Language/Multimodal Interfaces
 
−
* Location: Aberdeen, UK
 
−
* Deadline: 10-Feb-2012
 
−
* Date Posted: 19-Jan-2012
 
−
* Contact email: yaji.sripada@abdn.ac.uk
 
−
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009.
 
−
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk
 
−
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation.
 
−
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. 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. The ability to use GIS would be an advantage.
 
−
As this post is externally funded it is available for a period of 2.5 years.
 
  
−
For more details
+
The research builds upon and extends successful projects from our group, which have resulted in academic, industrial and open source impact:
 +
* SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
 +
* Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
 +
* SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174
  
−
Go to: http://www.abdn.ac.uk/jobs/index.php
 
−
Click on "External Applicants"
 
−
Enter the Post Reference Number 1228867 and click "Search"
 
  
−
==Postdoc or Research Associate - Natural Language Processing==
+
The research is being conducted in close collaboration with the IBM Watson Solutions division and multiple global IBM Research labs (India, Haifa and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).
−
* Employer: IHMC (www.ihmc.us)
+
We are currently looking for researchers (Research Staff Members, software engineers, post-doc researchers and summer interns) with interest & experience in one or more areas relevant to the knowledge engineering life cycle such as natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management, as described above.  
−
* 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.
 
−
 
−
Required:
 
−
 
−
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
 
−
 
−
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
 
−
 
−
▪ Ph.D. in computational linguistics / natural language processing or related areas.
 
−
 
−
Skills and Experience:
 
−
 
−
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
−
 
−
▪ 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.
 
−
 
−
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
 
−
 
−
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
−
 
−
Apply to Yorick Wilks at: ywilks@ihmc.us
 
−
 
−
 
−
 
−
 
−
== 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'''
+
Please send your resumes to: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
  
−
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.
+
== Two Postdoc Opportunities at the US Army Research Lab in the Washington, DC Metro Area ==
 +
* Employer: US Army Research Laboratory
 +
* Title: Postdoctoral Fellow
 +
* Speciality: Knowledge Representation, Knowledge Bases, Common-Sense Reasoning, Planning
 +
* Location: Adelphi, MD
 +
* Deadline: (until filled)
 +
* Date posted: November 30, 2015
 +
* Contact: douglas.a.summers-stay.civ@mail.mil and/or ethan.a.stump2.civ@mail.mil
  
−
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 US Army Research Laboratory currently has two postdoc opportunities:
  
−
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/
 
  
−
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.
+
'''Position #1'''
  
−
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
The US Army Research Laboratory (ARL) is researching common-sense reasoning and natural language understanding for the purpose of creating a communication dialogue to promote increased intent understanding within Human-Robot teams. In support of this effort, ARL is looking for an individual with a PhD or equivalent, with interest and a background in knowledge representation, knowledge bases, knowledge graphs, common-sense reasoning, or spatial reasoning. We plan to make use of semantic vector spaces to enhance the capabilities of the reasoning system, so some familiarity with knowledge graph embedding, distributional semantic vector spaces (such as GloVe or word2vec), or learning from massive text corpora would also be beneficial.
  
−
Dr. Matt Huenerfauth, Search Committee Chair
+
The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.
  
−
Department of Computer Science
+
To learn more about the position, or to apply, please send questions or a CV to Dr. Douglas Summers-Stay via email at douglas.a.summers-stay.civ@mail.mil.
  
−
Queens College-CUNY
 
  
−
65-30 Kissena Blvd.
+
'''Position #2'''
  
−
Flushing, New York 11365-1597
+
The US Army Research Laboratory (ARL) is seeking a Postdoctoral Researcher to bridge the gap between humans and autonomous systems by developing a controlled language to reason and communicate about human intent as it applies to commands a robot receives. In robotics, practitioners often program autonomous systems by developing monolithic behaviors that, when correctly parameterized, will cause the system to act as desired. However, setting these parameters is often more art than science, and we cannot expect an average user to effectively task the system unless they have only the simplest tasks in mind. ARL desires a controlled language that both concisely describes the capabilities of autonomous systems, as well as enables common-sense reasoning and representation of implicit goals that will let the system fill instructional gaps from novice users.
  
−
matthew.huenerfauth (at) qc.cuny.edu
+
In this position, the Researcher will work on a cross-disciplinary team comprised of researchers in computational linguistics, computer vision, machine learning, and experimental robotics to develop a system for interacting with humans—the goal being to develop and evolve complex plans carried out by autonomous systems. The primary responsibilities of the Researcher will be learning how we can use language to link the domains of intent reasoning and action, and developing such a language to enable experiments with humans and robot teams operating in dynamic environments.
  
−
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.
+
The candidate must have a PhD or equivalent degree, and should have an interest and background in formal methods, knowledge representation and reasoning, computational linguistics, control policies, or AI planning.
  
−
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.
+
The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.
  
−
== Headline text ==
+
To learn more about the position, or to apply, please send questions or a CV to Dr. Ethan Stump via email at ethan.a.stump2.civ@mail.mil.

Revision as of 17:52, 9 February 2016

Research Scientist at the Allen Institute for Artificial Intelligence

  • Employer: Allen Institute for Artificial Intelligence (AI2)
  • Title: Research Scientist
  • Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
  • Location: Seattle, WA
  • Deadline: N/A, we are hiring throughout 2016
  • Date posted: 02/09/2016
  • Contact information: ai2-info@allenai.org
  • Website: http://allenai.org/jobs.html

Job Description

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

Position Summary

AI2 currently has projects in the following areas:

  • Language and Vision
  • Information extraction and semantic parsing
  • Question answering
  • Language and reasoning
  • Machine learning and theory formation
  • Semantic search
  • Natural language processing
  • Diagram understanding
  • Visual knowledge extraction and visual reasoning

And more….

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

Applicant

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

Why AI2

In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:

  • We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
  • We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
  • We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
  • We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
  • We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
  • We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!

Application Process

Visit our website for more information: http://allenai.org/jobs.html


Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN

  • Employer: SYSTRAN
  • Title: Software Engineer
  • Topics: Machine Learning, Natural Language Processing, Machine Translation
  • Location: San Diego
  • Deadline: Open until filled
  • Date Posted: January 29, 2016
  • Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na

SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.

The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.

Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.

Key Qualifications

  • Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
  • Good algorithmic knowledge of machine learning
  • Experience writing and debugging software
  • Strong communications skills
  • Ability to work well as part of a team
  • Fluent in English.
  • Fluent in Chinese is a plus

Education and Experience

  • MS or Ph D in Computational Linguistics / Computer Science or relevant field.
  • 2+ years work experience preferred

Benefits

  • Successful candidates will be offered a competitive salary based on their qualifications and experience.


Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee

  • Employer: University of Dundee
  • Title: Lecturer/Senior Lecturer/Reader
  • Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
  • Location: Dundee, UK
  • Deadline: 27 February 2016
  • Date Posted: 12 January 2016
  • Contact: Prof. Chris Reed (see http://arg.tech/lecturer)

£34,576 to £55,389 Full Time, Permanent

The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.

For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.

Summary of Job Purpose and Principal Duties

The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each group can be found in the Further Particulars.

The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal Fellowships.

Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.

Job Summary

The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:

  • Contribute to the ongoing research in one of the three research groups described above.
  • Contribute to the generation of external research funding.
  • Publish in high quality research journals and major international conferences.
  • Teach at undergraduate and post-graduate level.
  • Supervise students at all levels (honours and MSc projects, PhD).
  • Undertake administrative duties.

Application Requirements

In addition to the online form, applicants must include with their application:

  • Cover letter outlining fit to role.
  • Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
  • Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.


Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory

  • Employer: US Naval Research Laboratory
  • Title: Postdoctoral Research Fellow
  • Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
  • Location: Washington, DC
  • Deadline: Open until filled
  • Date Posted: January 20, 2016
  • Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)

Research focus: The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.

Supervisor: Sunny Khemlani, PhD

Key qualifications: A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.

Length of appointment: This position is for one year with second and third year reappointment dependent on satisfactory performance.

Program and compensation: The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.

To apply: Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.


Internship positions available at Juji, Inc.

  • Employer: Juji, Inc.
  • Title: Intern
  • Location: Saratoga, CA
  • Deadline: open until all the positions are filled
  • Date Posted: January 14, 2016

Description: Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs.

We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.

We have multiple positions on two main tracks:

  • Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.
  • Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.

Qualifications Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.

To apply: Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.


Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School

  • Employer: Brigham and Women's Hospital / Harvard Medical School
  • Title: Postdoctoral Research Fellow
  • Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
  • Location: Boston, MA
  • Deadline: Open until filled
  • Date Posted: January 8, 2016
  • Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

Research focus: the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

Supervisor: Alexander Turchin, MD, MS, FACMI

Required skills: experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.

Education: PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.

Length of appointment: This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

Available: Immediately.

Compensation: according to NIH (NRSA) stipend levels.

To apply: send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Internship positions available in Natural Language Processing at Adobe Research

  • Employer: Adobe Systems Incorporated
  • Title: NLP Scientist Intern
  • Natural Language Processing, Machine Learning, Question Answering and Dialog Systems.
  • Location: San Jose, CA
  • Deadline: open until all the positions are filled
  • Date Posted: December 23, 2015
  • Trung Bui: bui@adobe.com

Description: We are looking for several NLP scientist interns who will work on semantic understanding, question answering and dialog systems to improve Adobe digital media and digital marketing products. The internship will be at the Medial Intelligence Lab under the Imagination Lab at Adobe Research (http://www.adobe.com/technology.html) located in San Jose, California. It is 13 weeks long and can start any time from March 1, 2016.

Key Qualifications

  • Experience with semantic parsing, question answering and dialog systems.
  • Experience with machine learning, deep learning.
  • Good programming skills in Java/C++ and/or Python

Education M.S. or PhD student in Computer Science or related field

Additional Requirements No.

Associate Research Scientist at UKP Lab, TU Darmstadt

  • Employer: UKP Lab, Department of Computer Science, Technische Universität Darmstadt
  • Title: Associate Research Scientist
  • Speciality: Natural Language Processing
  • Location: Darmstadt, Germany
  • Deadline: January 15, 2016
  • Date posted: December 23, 2015
  • Contact: jobs@ukp.informatik.tu-darmstadt.de

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years) to strengthen the group's profile in the area of Computational Argumentation. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Computational Argumentation is one of the rapidly developing focus areas in collaboration with industrial partners.

We ask for applications from candidates in Computer Science, Information Systems, Business Information Technology, or Computational Linguistics, preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of computational argumentation (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and experience in information retrieval, large-scale data processing and machine learning. In particular, experience with deep-learning is a strong plus. Combining fundamental NLP research on Computational Argumentation with industrial applications from different application domains will be highly encouraged.

UKP's wide cooperation network both within its own research community and with partners from industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web" and the recently established Research Training Group "Adaptive Information Processing of Heterogeneous Content" (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: jobs@ukp.informatik.tu-darmstadt.de by 15 January 2016. The position is open until filled. Later applications may be considered if the position is still open.

Postdoctoral Researcher position in NLP/Computational Social Science at UPenn

  • Employer: Computer & Information Science, University of Pennsylvania, USA
  • Title: Postdoctoral Researcher
  • Speciality: Natural Language Processing, Computational Social Science
  • Location: Philadelphia, USA
  • Deadline: January 15, 2016
  • Date posted: December 21, 2015
  • Contact: applications@wwbp.org

We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.

The ideal candidate will have research experience in computational linguistics and applied machine learning. She or he will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwbp.org for example publications.

  • Application Deadline: January 15, 2015
  • Approximate Start Date: March 1, 2016 (but flexible)

How to Apply: Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.

The University of Pennsylvania is an EOE/Affirmative Action Employer. Position contingent on funding.

Primary Contact: Professor Lyle Ungar, ungar@cis.upenn.edu


Multiple positions as Full-time researcher, Post-doc researcher, Software Engineer and Summer Intern in IBM Research - Almaden, San Jose

  • Employer: IBM Research - Almaden
  • Title: Researcher, Software Engineer, Post-doc, Summer Intern
  • Speciality: natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management
  • Location: San Jose, CA
  • Deadline: (until filled)
  • Date posted: December 18, 2015
  • Contact: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)


IBM Research - Almaden is looking for researchers to join the Natural Language Processing, Entity Resolution and Discovery Department. Our research focuses around creating a knowledge engineering platform for the creation, maintenance and consumption of “industry-specific” knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such a platform needs to support the entire lifecycle for knowledge engineering including:

  • creation, maintenance and evolution of ontologies to capture domain concepts of interest
  • scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources such as text analytics, entity resolution and integration, cleansing, data transformations and machine learning; supporting domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
  • scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
  • techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
  • easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
  • incorporating crowd sourcing and continuous evolution of the system through learning from user interactions.


The research builds upon and extends successful projects from our group, which have resulted in academic, industrial and open source impact:


The research is being conducted in close collaboration with the IBM Watson Solutions division and multiple global IBM Research labs (India, Haifa and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains). We are currently looking for researchers (Research Staff Members, software engineers, post-doc researchers and summer interns) with interest & experience in one or more areas relevant to the knowledge engineering life cycle such as natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management, as described above.


Please send your resumes to: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

Two Postdoc Opportunities at the US Army Research Lab in the Washington, DC Metro Area

  • Employer: US Army Research Laboratory
  • Title: Postdoctoral Fellow
  • Speciality: Knowledge Representation, Knowledge Bases, Common-Sense Reasoning, Planning
  • Location: Adelphi, MD
  • Deadline: (until filled)
  • Date posted: November 30, 2015
  • Contact: douglas.a.summers-stay.civ@mail.mil and/or ethan.a.stump2.civ@mail.mil

The US Army Research Laboratory currently has two postdoc opportunities:


Position #1

The US Army Research Laboratory (ARL) is researching common-sense reasoning and natural language understanding for the purpose of creating a communication dialogue to promote increased intent understanding within Human-Robot teams. In support of this effort, ARL is looking for an individual with a PhD or equivalent, with interest and a background in knowledge representation, knowledge bases, knowledge graphs, common-sense reasoning, or spatial reasoning. We plan to make use of semantic vector spaces to enhance the capabilities of the reasoning system, so some familiarity with knowledge graph embedding, distributional semantic vector spaces (such as GloVe or word2vec), or learning from massive text corpora would also be beneficial.

The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.

To learn more about the position, or to apply, please send questions or a CV to Dr. Douglas Summers-Stay via email at douglas.a.summers-stay.civ@mail.mil.


Position #2

The US Army Research Laboratory (ARL) is seeking a Postdoctoral Researcher to bridge the gap between humans and autonomous systems by developing a controlled language to reason and communicate about human intent as it applies to commands a robot receives. In robotics, practitioners often program autonomous systems by developing monolithic behaviors that, when correctly parameterized, will cause the system to act as desired. However, setting these parameters is often more art than science, and we cannot expect an average user to effectively task the system unless they have only the simplest tasks in mind. ARL desires a controlled language that both concisely describes the capabilities of autonomous systems, as well as enables common-sense reasoning and representation of implicit goals that will let the system fill instructional gaps from novice users.

In this position, the Researcher will work on a cross-disciplinary team comprised of researchers in computational linguistics, computer vision, machine learning, and experimental robotics to develop a system for interacting with humans—the goal being to develop and evolve complex plans carried out by autonomous systems. The primary responsibilities of the Researcher will be learning how we can use language to link the domains of intent reasoning and action, and developing such a language to enable experiments with humans and robot teams operating in dynamic environments.

The candidate must have a PhD or equivalent degree, and should have an interest and background in formal methods, knowledge representation and reasoning, computational linguistics, control policies, or AI planning.

The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.

To learn more about the position, or to apply, please send questions or a CV to Dr. Ethan Stump via email at ethan.a.stump2.civ@mail.mil.

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