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* See also the [http://linguistlist.org/jobs Linguist Job List].
 
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== Short Term Post-Doc Position: Natural Language Processing (NLP), Phoenix, USA==
 
  
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Employer: Arizona State University, Tempe, AZ  http://csc.asu.edu/
+
==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==
−
* Rank or Title: Postdoctoral fellow
 
−
* Specialty: Natural language processing and machine learning
 
−
* Location: Tempe, AZ, USA
 
−
* Deadline: August 21, 2013
 
−
* Date Posted: August 8, 2013
 
−
* Contact email: hdavulcu at asu,edu and steve.corman at asu,edu
 
  
 +
* Employer: University of Pennsylvania
 +
* Title: Postdoctoral Researcher
 +
* Specialty: NLP
 +
* Location: Philadelphia, PA
 +
* Deadline: May 15th, 2016
 +
* Date posted: April 26th, 2016
 +
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu
  
−
Position
+
'''Summary'''
  
−
Seeking a Post-Doc with preparation in natural language processing (NLP), machine learning (ML) for quantitative text and discourse analysis at Center for Strategic Communication, Arizona State University, Tempe Campus.
+
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 primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications.  As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP.  
  
−
The project involves parsing large collection of English documents with a deep parser, extracting subject-verb-object triplets from sentences, and utilization of semantic information for event and story detection. Project also involves development of graph clustering based summarization tools for text.
+
The ideal candidate will have research experience in computational linguistics and applied machine learning. They 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 wwp.org for example publications.
  
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The Center is a fun, collaborative group providing many opportunities for learning, hands-on research and teamwork. See http://csc.asu.edu/. We value having a diverse mix of people and we are committed to equal opportunity in employment.
 
  
−
Candidates should have excellent English language skills (written and spoken), good communication skills, good programming skills (e.g., Java, C++, MATLAB, Python) and demonstrable ability to work with various open source NLP and ML tools and libraries.
+
Approximate Start Date: Summer 2016
  
−
Requirements: PhD degree in Computer Science or Computational Linguistics
 
  
−
Pay Rate: Competitive monthly salary.
+
'''How to Apply'''
  
−
Term of employment:
+
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.  
−
This is a Short-term, temporary position.
 
−
Period between September 3, 2013 and February 28, 2014.
 
  
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Close Date:
 
−
Initial close date is August 21, 2013.  Applications will continue to be accepted and reviewed every week thereafter until search is closed.
 
  
−
How to Apply: 
 
−
Please submit your information by email to hdavulcu at asu,edu and steve.corman at asu,edu
 
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E-mail subject line - “Natural Language Processing – Post-Doc application”.
 
  
−
Information must have the following:
 
−
1. Cover Letter
 
−
2. CV
 
−
3. 2 or more professional references (name, addresses and phone numbers)
 
  
−
== Postdoctoral Fellow Machine Reading, KU Leuven, Belgium==
+
==Research Scientist, Natural Language Processing==
  
−
Employer: Katholieke Universiteit Leuven, Belgium  http://www.kuleuven.be/
+
* Employer: EMR.AI Inc.
−
* Rank or Title: Postdoctoral fellow
+
* Title: Research Scientist
−
* Specialty: Natural language processing and machine learning
+
* Specialty: NLP
−
* Location: Leuven, Belgium
+
* Location: San Francisco, CA
−
* Deadline: July 5, 2013
+
* Deadline: May 20th, 2016
−
* Date Posted: June 9, 2013
+
* Date posted: April 21th, 2016
−
* Contact email: Sien.Moens@cs.kuleuven.be
+
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])
−
 
−
Position
 
−
 
 
−
Applications are invited for the position of a postdoctoral research fellow specialized in natural language processing and machine learning to join the Language Intelligence and Information Retrieval group of Prof. Marie-Francine Moens at the Department of Computer Science at KU Leuven, Belgium.
 
−
The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The MUSE project introduces a new way of exploring and understanding information by “bringing text to life” through 3D interactive storytelling. Taking as input natural language text like children’s stories or medical patient education materials, MUSE will process the natural language, translate it into formal knowledge that represents the actions, actors, plots and surrounding world, and then render these as virtual 3D worlds in which the user can explore the text through interaction, re-enactment and guided game play. The focus of the postdoctoral research at KU Leuven will be on semi-supervised and unsupervised models for machine reading (MR) when translating the content of text to knowledge representations. A possible additional focus is on scalable inference and learning. The position ideally starts September 1, 2013. Funding for this position is currently available for 2 years.
 
−
 
 
−
Requirements
 
  
−
Applicants have a PhD degree in computer science or related areas, and a strong background in NLP and machine learning. Research experience is desirable in one or more of the following fields: information extraction, semi- and unsupervised parsing, graphical models, structured learning, language modeling, and related domains. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.
+
Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.
  
−
Information
+
'''Summary'''
  
−
For more information contact Marie-Francine Moens, tel.: +3216325383, mail: sien.moens@cs.kuleuven.be.
+
EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.
−
You can apply for the postdoctoral position by sending your CV and publication list to: sien.moens@cs.kuleuven.be.
 
  
−
== Research Scientist Positions, NLP and Speech ==
+
This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.
  
−
Employer: Educational Testing Service http://www.ets.org/
+
'''Responsibilities'''
−
* Rank or Title: Research Scientist
 
−
* Specialty: Natural Language Processing
 
−
* Location: Princeton, NJ or San Francisco, CA
 
−
* Deadline: Until position is filled
 
−
* Date Posted: 22 May 2013
 
−
* Contact email: dyanchuk@ets.org
 
−
 
  
−
Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education, and government, we are determined to advance educational excellence for the communities we serve.
+
* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.
 +
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.
 +
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
 +
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.
 +
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.
  
 +
'''Skills'''
  
−
ETS Research & Development has openings for Research Scientists at all levels in Natural Language Processing and Speech Group. The ongoing projects in this group focus on natural language processing for topics including automated evaluation of writing and speaking assessments. ETS aims to expand these current research directions, as well as pursuing groundbreaking research in new areas:
+
PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.
−
* The incoporation of interactive tasks into assessment environments, using technologies for dialog management and analysis.
 
−
* The automated induction of rhetorical structures from student responses, including argumentation strategies, narrative organization, and topical analyses.
 
−
* Automated analysis of process data related to student performance on immersive assessment tasks (such as in a game-based environment).
 
  
 +
'''Benefits'''
  
−
This is an excellent opportunity to be a part of a research and development team and have a significant impact on existing and next generation assessments.
+
EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.
  
 +
'''How to Apply'''
  
−
'''PRIMARY RESPONSIBILITIES'''
+
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]
  
 +
'''Contact'''
  
−
• Pursue or collaborate in interdisciplinary projects, transferring techniques to a new context or connecting scientific fields that are usually separate. Successful candidates are self-motivated and self-driven, and have a strong interest in emerging technology that can contribute to education in assessment and instructional settings.
+
EMR.AI Inc.
  
−
• Provide scientific and technical skills to conceptualize, design, obtain support for, conduct, and manage new research projects, grants, or parts of existing projects.
+
90 New Montgomery St
  
−
• Generate or contribute to new or modified methods that support research and development in the automated analysis of student responses as well as other written or spoken materials relevant in assessment and instructional settings.
+
San Francisco, CA 94105, USA
  
−
• Design and conduct scientific studies, functioning as an expert in the major facets of the projects; respond as a subject matter expert in presenting the results of acquired knowledge and experience.  Consult and collaborate on problems arising from research and/or testing programs, or corporate management concerns.
+
phone: +1-415-200-8535
  
−
• Develop or assist in developing proposals for external and internal research grants and obtain financial support for new or continuing research activities. Prepare initial and final proposal and project budgets.
+
e-mail: [mailto:info@emr.ai info@emr.ai]
  
−
• Participate in dissemination activities through the publications of research papers in peer-reviewed journals and in the ETS Research Report series, the issuing of progress and technical reports, the presentation of seminars at major conferences and at ETS, or the use of other appropriate communication vehicles, including books and chapters, that impact practice in the field or at ETS.
+
www: [http://emr.ai http://emr.ai]
  
−
• Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
 
  
−
• Consult on ETS projects or external contracts that related to the research focus of the group.
 
−
 
  
−
'''Required Experience:'''
+
==Research Scientist on Natural Language Processing==
  
 +
* Employer: IBM Research Ireland
 +
* Title: Research Scientist
 +
* Specialty: NLP, Machine Learning
 +
* Location: Dublin
 +
* Deadline: May 5th, 2016
 +
* Date posted: April 11th, 2016
 +
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]
  
−
'''REQUIREMENTS FOR A JUNIOR LEVEL POSITION'''
 
  
−
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member.
+
Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.
  
−
'''REQUIREMENTS FOR A MID-LEVEL POSITION'''
+
The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.
 +
As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.
  
−
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Three years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.
 
  
−
'''REQUIREMENTS FOR A SENIOR-LEVEL POSITION'''
+
==Postdoc Researcher on Vision and Language==
  
−
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Eight years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.
+
* Employer: University of Liverpool
 +
* Title: Postdoc
 +
* Specialty: Computer Vision with an interest in human vision/language behaviour
 +
* Location: Liverpool UK
 +
* Deadline: April 20th, 2016
 +
* Date posted: March 28, 2016
 +
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]
  
 +
Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language.  Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal).  There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics.  In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children.  In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions.  We are most interested in people with a computational background who have an interest in human vision/language processing.
  
−
About the Center for Assessment Innovation: The NLP and Speech Group focuses on  automated scoring of text and speech, support for technologically-enhanced assessment methods, and the application of NLP and speech technology to educational problems generally. The group builds partnerships and collaborations with other institutions. External grants are pursued, and internally-funded fundamental research and capability development is also supported.
+
This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster.  You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple.   The post is available for 3 years.
  
  
−
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
+
==Postdoc Positions at Johns Hopkins University==
  
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== Research Assistant Positions, NLP ==
+
* Employer: Johns Hopkins University
 +
* Title: Postdoc
 +
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
 +
* Location: Baltimore, MD
 +
* Deadline: March 31, 2016
 +
* Date posted: March 1, 2016
 +
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]
  
−
Employer: Educational Testing Service http://www.ets.org/
+
The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.
−
* Rank or Title: Research Assistant
 
−
* Specialty: Natural Language Processing
 
−
* Location: Princeton, NJ
 
−
* Deadline: Until position is filled
 
−
* Date Posted: 22 May 2013
 
−
* Contact email: dyanchuk@ets.org
 
  
 +
The center has a number of postdoctoral positions available for the coming year. Possible research topics include:
 +
* Trend Detection in Social Media
 +
* Broadly Multilingual Learning of Morphology
 +
* Stochastic approximation algorithms for subspace and multi-view representation learning
 +
* Analysis of large-scale time series data in healthcare
  
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ETS Research & Development has an opening for a Research Assistant in the Natural Language Processing Group. A primary focus of the area is to contribute to externally-funded projects as well as provide service to the program areas of ETS, including new applications of automated scoring technologies. The successful candidate will contribute to internal projects aimed at developing assessment and automated scoring innovations. The successful candidate will also contribute to external projects aimed at developing methodologies to support natural language processing technologies.
+
Host faculty include:
 +
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria
  
  
−
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
==Associate/Full Professor in Computational Linguistics at Stony Brook University==
 +
* Employer: Department of Linguistics, Stony Brook University
 +
* Title: Associate/Full Professor
 +
* Specialty: Computational Linguistics
 +
* Location: New York, USA
 +
* Deadline: <strike>March 14, 2016</strike> May 1, 2016
 +
* Date posted: February 17, 2015
 +
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]
 +
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]
  
 +
'''Job Description'''
  
−
'''Project Management/Leadership'''
+
The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.
  
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Complete Linguistic annotations of text, develop and apply scoring schemes to short answer responses, assist research scientitsts in constructing models and documenting procedures.
+
The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.
  
−
Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).
+
They will also be expected to
  
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Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.
+
* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,
 +
* Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,
 +
* Strengthen the department's connections with the local IT industry.
  
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Schedule services with other ETS departments, staff and vendors.
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Salary will be commensurate with education and experience.
  
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Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.
+
'''Application'''
  
−
Research Design, Data Collection and Analysis
+
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]
  
−
Assist in developing and refining research instruments.
 
  
−
Assist in developing procedures for data collection. Edit and proof coding systems and manuals.
+
==Research Scientist at the Allen Institute for Artificial Intelligence==
  
−
Administer research instruments such as assessments, surveys, observations, and interviews.
+
* 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
  
−
Instruct support staff on procedures for data collection, data entry and check work.
+
'''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.  
  
−
Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.
+
'''Position Summary'''
  
−
Perform basic data analyses; Compile simple results.
+
AI2 currently has projects in the following areas:
  
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Prepare charts, tables, figures, and graphics for reports and presentations.
+
* 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…. 
  
−
'''Communication'''
+
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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Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.
+
'''Applicant'''
  
−
Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.
+
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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Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.
+
'''Why AI2'''
  
−
Assist in developing presentations and present as part of a team.
+
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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Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.
+
* 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!
  
−
Experience in using data analyses software.
+
'''Application Process'''
  
 +
Visit our website for more information: http://allenai.org/jobs.html
  
−
'''Required Experience:'''
 
  
 +
==Software Engineer  - Machine Learning / NLP (Chinese) at SYSTRAN==
  
−
'''EDUCATION'''
+
* 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
  
−
A Bachelor's degree in linguistics or a closely related field, with coursework in statistics or research methods, phonetics & phonology, syntax & semantics, and/or language acquisition is necessary.
+
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.
  
−
'''EXPERIENCE'''
+
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.
  
−
Six months of research-related experience is necessary.
+
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.
  
−
Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.
+
'''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
  
−
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
+
'''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==
  
−
== Senior Research Scientist - Xerox Research Centre Europe ==
+
* 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)
  
−
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
+
£34,576 to £55,389 Full Time, Permanent
−
* Rank or Title: Senior Research Scientist
 
−
* Specialty: Statistical Natural Language Processing, Machine Learning
 
−
* Location: Grenoble, France
 
−
* Deadline: 31 July 2013 or until position is filled
 
−
* Date Posted: 2 May 2013
 
−
* Contact email: James.Henderson@xrce.xerox.com
 
  
−
'''Position Description'''
+
The 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.
  
−
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning for NLP. The ideal candidate would have experience or knowledge of parsing, information extraction, weak supervision, textual entailment, and combining machine learning with expert knowledge.  Awareness of the healthcare domain is a plus. The applicant should have a strong publication record and good coding skills. The seniority of the appointment will depend on qualifications.
+
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.
  
−
The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact.  Senior researchers are expected to also lead research projects.  We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals.  We also have multiple open innovation collaborations with academic partners world-wide.
+
'''Summary of Job Purpose and Principal Duties'''
  
−
The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis.  The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning.  We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems.  Our general application focus is on converting unstructured text into structured information, including facts and opinions.  The solutions we develop play a key role in Xerox's next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.
+
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.
  
−
XRCE is located in Grenoble, France, in the heart of the French Alps.  Grenoble offers an excellent quality of life and a large scientific community. For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Senior-Research-Scientist-in-Statistical-Natural-Language-Processing.
+
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.
  
−
'''Requirements'''
+
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.
  
−
* PhD in Computer Science or Computational Linguistics
+
'''Job Summary'''
−
* NLP knowledge and experience
 
−
* Machine learning knowledge or experience
 
−
* Strong publication record
 
−
* Programming skills
 
−
* Strong written and oral communications skills in English
 
  
−
'''Application instructions '''
+
The 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:
  
−
Applications will be considered as they are received. To ensure that an application receives full consideration it should be submitted by '''July 31, 2013'''. Applications will be considered beyond this date until the position is filled.
+
* 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.
  
−
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
+
'''Application Requirements'''
  
−
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.
+
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.
  
−
== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==
 
  
−
* Employer: Qatar Computing Research Institute (http://www.qcri.qa)
+
==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==
−
* Rank or Title: Intern/Research associate/Research assistant
+
* Employer: US Naval Research Laboratory
−
* Specialty: Information retrieval, text mining, natural language processing
+
* Title: Postdoctoral Research Fellow
−
* Location: Doha, Qatar
+
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
−
* Deadline: May 31, 2013
+
* Location: Washington, DC
−
* Date Posted: March 15, 2013
+
* Deadline: Open until filled
−
* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa
+
* Date Posted: January 20, 2016
 +
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)
  
−
'''POSITION DESCRIPTION'''
+
'''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.
  
−
The NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.
+
'''Supervisor''': Sunny Khemlani, PhD
  
−
'''INTERNSHIP TASKS INCLUDE'''
+
'''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.
−
* Development of effective techniques for information filtering from social media
 
−
* Diversity analysis, categorization, and summarization of search results
 
−
* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search
 
−
* Web design/development of visualization schemes for social search results
 
−
* Conducting project-related research work supervised by scientists in the team
 
  
−
'''EXPECTED APPLICANTS SHOULD BE/HAVE'''
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.
−
* PhD/Master students in computer science or related field
 
−
* At least 1-year research experience
 
−
* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.
 
−
* Background in social network analysis and/or natural language processing is a plus
 
−
* Basic knowledge of Arabic language can help but is not mandatory
 
−
* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)
 
  
−
'''INTERNSHIP NATURE'''
+
'''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.
  
−
Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents.  
+
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.
  
−
Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.
 
  
−
'''ABOUT QCRI'''
+
==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
  
−
Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.
+
'''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.
  
−
QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.
+
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.
  
−
'''APPLICATION'''
+
We have multiple positions on two main tracks:
  
−
Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now
+
* 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.
  
−
For more information, please visit:
+
* 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.
−
http://www.qcri.qa
 
−
http://qcri.qa/our-research/arabic-language-technologies
 
  
 +
'''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.
  
−
== Postdoctoral fellow -- KU Leuven ==
+
'''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.  
−
 
+
   
−
* Employer: Department of Computer Science, KU Leuven, Belgium
 
−
* Rank or Title: Postdoctoral fellow
 
−
* Specialty: Information extraction, natural language understanding, machine reading
 
−
* Location: Leuven, Belgium
 
−
* Deadline: Until position fills
 
−
* Date Posted: April 13, 2013
 
−
* Contact email: Sien.Moens@cs.kuleuven.be
 
−
 
 
−
'''Position description'''
 
−
The Language Intelligence and Information Retrieval group, which is part of the Department of Computer Science at KU Leuven (http://www.cs.kuleuven.be/groups/liir/), has an open postdoctoral position for a motivated researcher with interest and expertise in information extraction from text. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and can show his or her expertise through several publications in major conferences or journals in the fields of computational linguistics, machine learning and/or artificial intelligence.
 
−
The position will be for two years starting in the Summer of 2013 or earlier. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.
 
−
 
 
−
'''Application instructions '''
 
−
 
 
−
Please send your application to Marie-Francine Moens (Sien.Moens@cs.kuleuven.be).
 
−
 
 
−
 
 
−
'''Other considerations'''
 
−
 
 
−
Situated in the heart of Western Europe, KU Leuven has been a centre of learning for almost six centuries. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied research.  It is strongly inter- and multidisciplinary in focus and strives for international excellence. To this end, KU Leuven works together actively with its research partners at home and abroad.
 
−
 
 
−
== Post-doctoral fellows -- University of Alberta ==
 
−
 
 
−
* Employer: Department of Computing Science, University of Alberta
 
−
* Rank or Title: Post-doctoral fellow
 
−
* Specialty: Information Extraction
 
−
* Location: Edmonton, AB, Canada
 
−
* Deadline: March 15 2013, but applications are accepted until positions are filled
 
−
* Date Posted: 26 February 2013
 
−
* Contact email: denilson@ualberta.ca
 
−
 
 
−
'''Position Description'''
 
−
 
 
−
The Department of Computing Science at the University of Alberta is seeking applicants for post-doctoral fellows to work on a project related to information extraction. The ideal candidates are recent PhDs in Computer Science with strong background in information retrieval, linked open data, natural language processing, and information extraction from the web. Other areas where expertise is desirable include graph data management, network analysis, data analytics, and the semantic web.
 
−
 
 
−
The projects will be conducted in the context of the NSERC Business Intelligence Network (http://bin.cs.utoronto.ca/), a collaborative research initiative involving several top Canadian Universities and key industrial partners IBM Canada, SAP Canada, and Palomino System Innovations Inc.
 
−
 
 
−
The fellows will work under the supervision of PI Denilson Barbosa, within a team of PhD and MSc students, and build on ongoing work in information extraction with applications in business and environmental data. These positions will require the development of practical prototypes and proof-of-concept systems, as well as dissemination of research results in top venues. As such, emphasis should be given on the application materials to hands-on experience with large-scale datasets.
 
−
 
 
−
Qualified candidates must hold a PhD at the time of appointment. The stipend will be in accordance with NSERC standards (CAD$ 40,000 plus benefits), with the possibility of a 10-20% top-up depending on qualifications.
 
−
 
 
−
'''Application instructions '''
 
−
 
 
−
To apply, send an updated CV, cover letter, and the names and official contact information (university or company email and phone number) of three references to Denilson Barbosa <denilson@ualberta.ca>.
 
−
 
 
−
Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.
 
−
 
 
−
'''Other Considerations'''
 
−
 
 
−
The University of Alberta, one of Canada's largest research universities is situated in Edmonton, a metropolitan area of over one million people with a vibrant research community and an excellent standard of living. The Department of Computing Science at the University of Alberta is widely recognized as a leading CS department, both within Canada and worldwide.
 
−
 
 
−
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
 
−
 
 
−
The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.
 
−
 
 
−
 
 
−
== Research Scientist - Xerox Research Centre Europe ==
 
−
 
 
−
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
 
−
* Rank or Title: Research Scientist
 
−
* Specialty: Statistical Natural Language Processing
 
−
* Location: Grenoble, France
 
−
* Deadline: Applications accepted until position is filled
 
−
* Date Posted: 14 February 2013
 
−
* Contact email: James.Henderson@xrce.xerox.com
 
−
 
 
−
'''Position Description'''
 
−
 
 
−
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning and/or information extraction (e.g. event extraction).  The ideal candidate would also have experience or knowledge of textual entailment, knowledge representation, and combining machine learning with expert knowledge.  The applicant should have good coding skills (e.g. Java programming), with the ability to develop research prototypes and pilots.
 
−
 
 
−
The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.
 
−
 
 
−
The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems.  Our general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services.
 
−
 
 
−
See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities
 
−
 
 
−
'''Requirements'''
 
−
 
 
−
* PhD in Computer Science or Computational Linguistics
 
−
* NLP knowledge and experience
 
−
* Knowledge or experience in machine learning or information extraction
 
−
* Object oriented programming skills (e.g. java)
 
−
* Strong written and oral communications skills in English
 
−
 
 
−
'''Application instructions '''
 
−
 
 
−
The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled.
 
−
 
 
−
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
 
−
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.
 
−
 
 
−
 
 
−
== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==
 
−
 
 
−
* Employer: CNGL, Dublin City University http://www.cngl.ie
 
−
* Rank or Title: PhD, Post-Doc and Research Programmer
 
−
* Specialty:  Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics
 
−
* Location: Dublin, Ireland
 
−
* Deadline: February 25, 2013
 
−
* Date Posted: January 30, 2013
 
−
* Start Date: March, 2013
 
−
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
 
−
* Contact email: dgroves@computing.dcu.ie
 
−
 
 
−
'''For More Details'''
 
−
 
 
−
http://www.cngl.ie/vacancies.html
 
−
 
 
−
'''Position Description'''
 
−
 
 
−
CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.
 
−
 
 
−
CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize.
 
−
 
 
−
CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.
 
−
 
 
−
The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.
 
−
 
 
−
DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.
 
−
 
 
−
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
 
−
 
 
−
'''PhD Studentships'''
 
−
 
 
−
*Parsing, Analytics and Information Extraction:
 
−
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.
 
−
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.
 
−
*Information Retrieval:
 
−
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications
 
−
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources
 
−
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis
 
−
**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content
 
−
*Machine Translation:
 
−
**Syntax- and Semantics-Enhanced Machine Learning Based MT
 
−
**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
 
−
**Human interaction with MT output: Usability, Acceptability, Post-editing Research
 
−
**MT and Multimodal Interaction
 
−
**MT for Multimodal Cross Language Information Retrieval
 
−
 
 
−
'''Post-Doctoral Positions'''
 
−
 
 
−
*Parsing, Analytics and Information Extraction:
 
−
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
 
−
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
 
−
*Machine Translation:
 
−
**User/Human Centric MT (up to 2.5 year contract)
 
−
 
 
−
'''Post-Doctoral Positions'''
 
−
 
 
−
*Research Programmer (up to 2.5 year contract)
 
−
 
 
−
For more information please see: http://www.cngl.ie/vacancies.html
 
−
 
 
−
 
 
−
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
 
−
 
 
−
* Employer: Nara Insititute of Science and Technology
 
−
http://www.naist.jp/en/
 
−
* Rank or Title: Assistant Professor
 
−
* Specialty:  Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
 
−
* Location: Nara, Japan
 
−
* Deadline: February 28, 2013
 
−
* Date Posted: January 30, 2013
 
−
* Start Date: after April, 2013
 
−
* Duration: 5 years (reappointment is possible)
 
−
* Contact email: matsu@is.naist.jp
 
−
 
 
−
'''For Detailed Description'''
 
−
 
 
−
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
 
−
 
 
−
 
 
−
==Researchers - AT&T Labs Research==
 
−
 
 
−
* Employer: AT&T Labs - Research
 
−
* Rank or Title: Researchers and Research Software Engineers
 
−
* Specialty: Natural Language Processing, Speech Processing, Machine Learning
 
−
* Location: NJ
 
−
* Deadline: Applications accepted until position is filled
 
−
* Date Posted: 8 January 2013
 
−
* Contact email: vkumar@research.att.com
 
−
 
 
−
'''Position Description'''
 
−
 
 
−
AT&T Research, one of the premier industrial research laboratories in the world, is looking for
 
−
talented individuals to make a difference in the world of communications. Our researchers and
 
−
research software engineers are dedicated to solving real problems in speech and language
 
−
processing, and are involved in inventing, creating and deploying innovative services. We also
 
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explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at
 
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all levels of experience are encouraged to apply.  Candidates must demonstrate excellence in
 
−
research, a collaborative spirit and strong communication and software skills.
 
−
 
 
−
Areas of particular interest are
 
−
 
 
−
    * Large-vocabulary automatic speech recognition
 
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    * Acoustic and language modeling
 
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    * Robust speech recognition
 
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    * Signal processing
 
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    * Text-to-speech synthesis
 
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    * Natural language understanding and dialog
 
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    * Machine translation (speech and text)
 
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    * Speaker biometrics
 
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    * Voice and multimodal search
 
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    * Software engineering for speech and language processing
 
−
 
 
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Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).
 
−
 
 
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Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates
 
−
are encouraged to apply.  Interviews will be conducted in early 2013.  For more information,
 
−
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:
 
−
 
 
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http://www.research.att.com/evergreen/working_with_us/careers.html
 
−
 
 
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Candidates must demonstrate a proven research track record and the ability to identify technical
 
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problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
 
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are desired. Access to massive amounts of real-world data, the ability to work with internal and external
 
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collaborators across departments, the possibility of making an impact by developing solutions that will be used
 
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by millions, and the freedom to publish your results are some of the reasons AT&T Labs -
 
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Research is an exciting place to work.
 
−
 
 
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AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
 
−
 
 
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==Subject Matter Expert - Linguistics==
 
−
 
 
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Employer: Assured Information Security, Inc<br>
 
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Rank or Title: Subject Matter Expert<br>
 
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Specialty: Linguistics<br>
 
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Location: Rome, NY 13441<br>
 
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Deadline: July 17, 2013<br>
 
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Date Posted: June 17, 2013<br>
 
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Link to website: http://www.Click2Apply.net/6q7549z<br>
 
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AIS, Inc. is currently seeking a Subject Matter Expert in SIGINT for their Rome, NY office to support customers in the areas of requirements development, testing, and system training. The candidate(s) will support and coordinate the activities of AIS research and development programs.
 
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Roles and Responsibilities
 
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* Analysis of ongoing operations to identify and document end user requirements
 
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* Identification of operational scenarios to be used in evaluating candidate prototype technologies
 
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* Testing and analysis of the interim prototype systems against operational data sets
 
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* Conduct the demonstration and evaluation of interim prototype systems to operational users
 
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* Coordination of program activities with operational site personnel
 
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* Aggregation of operational data sets to be used in support of prototype evaluations
 
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* Provide training and technical support of the prototype systems for the end users
 
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* Creation of user documentation for the products developed within the research program
 
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* Coordination with other contractors in the integration of prototype systems
 
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* Assistance with the transition of prototype capabilities into the operational environment
 
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Requirements
 
  
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* Candidate must have 10 or more years of SIGINT experience to include field operations, analysis and reporting, training, and evaluation
+
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
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* Expertise in one or more SIGINT - related disciplines
+
* Employer: Brigham and Women's Hospital / Harvard Medical School
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* Operational SIGINT qualifications in collection and management positions
+
* Title: Postdoctoral Research Fellow
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* Instructor and examiner experience
+
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
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* Presentation development experience
+
* Location: Boston, MA
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* Demonstrated experience with research and analysis techniques
+
* Deadline: Open until filled
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* Strong interpersonal and oral/written communication skills including the ability to write progress reports, make oral presentations, and to implement or influence implementation of operating standards, policies and procedures in the project
+
* Date Posted: January 8, 2016
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* Experience in working with diverse groups is desired
+
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
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* Recent operational SIGINT field experience is highly desired
 
  
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Qualifications and Education Requirements
+
'''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.
  
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An active Top Secret/SCI security clearance and current investigation are required.
+
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
  
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Preferred: Bachelor's Degree in Computer Science or related program with 8 - 12 years experience; Master's Degree in Computer Science or related program with 4 - 7 years of experience; or 16 + years of job
+
'''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.
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related experience.
 
  
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Additional Notes
+
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
  
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AIS is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, Vietnam era or other eligible veteran status, or any other protected factor.
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
  
−
EEO/AA employer
+
'''Available''': Immediately.
  
 +
'''Compensation''': according to NIH (NRSA) stipend levels.
  
−
[http://www.Click2Apply.net/6q7549z Apply Here]
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Revision as of 08:21, 26 April 2016


Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science

  • Employer: University of Pennsylvania
  • Title: Postdoctoral Researcher
  • Specialty: NLP
  • Location: Philadelphia, PA
  • Deadline: May 15th, 2016
  • Date posted: April 26th, 2016
  • Contact: Professor Lyle Ungar: ungar@cis.upenn.edu

Summary

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 primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications. As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP.

The ideal candidate will have research experience in computational linguistics and applied machine learning. They 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 wwp.org for example publications.


Approximate Start Date: Summer 2016


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.



Research Scientist, Natural Language Processing

  • Employer: EMR.AI Inc.
  • Title: Research Scientist
  • Specialty: NLP
  • Location: San Francisco, CA
  • Deadline: May 20th, 2016
  • Date posted: April 21th, 2016
  • Contact: David Suendermann-Oeft (david@emr.ai)

Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.

Summary

EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.

This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.

Responsibilities

  • Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.
  • Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.
  • Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
  • Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.
  • Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.

Skills

PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.

Benefits

EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.

How to Apply

Please send your application documents to jobs@emr.ai

Contact

EMR.AI Inc.

90 New Montgomery St

San Francisco, CA 94105, USA

phone: +1-415-200-8535

e-mail: info@emr.ai

www: http://emr.ai


Research Scientist on Natural Language Processing

  • Employer: IBM Research Ireland
  • Title: Research Scientist
  • Specialty: NLP, Machine Learning
  • Location: Dublin
  • Deadline: May 5th, 2016
  • Date posted: April 11th, 2016
  • Contact: link to application page


Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.

The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents. As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.


Postdoc Researcher on Vision and Language

  • Employer: University of Liverpool
  • Title: Postdoc
  • Specialty: Computer Vision with an interest in human vision/language behaviour
  • Location: Liverpool UK
  • Deadline: April 20th, 2016
  • Date posted: March 28, 2016
  • Contact: link to application page

Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics. In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children. In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster. You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple. The post is available for 3 years.


Postdoc Positions at Johns Hopkins University

  • Employer: Johns Hopkins University
  • Title: Postdoc
  • Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
  • Location: Baltimore, MD
  • Deadline: March 31, 2016
  • Date posted: March 1, 2016
  • Contact: http://www.clsp.jhu.edu/employment-opportunities/

The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available for the coming year. Possible research topics include:

  • Trend Detection in Social Media
  • Broadly Multilingual Learning of Morphology
  • Stochastic approximation algorithms for subspace and multi-view representation learning
  • Analysis of large-scale time series data in healthcare

Host faculty include: Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria


Associate/Full Professor in Computational Linguistics at Stony Brook University

Job Description

The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.

The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.

They will also be expected to

  • Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,
  • Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,
  • Strengthen the department's connections with the local IT industry.

Salary will be commensurate with education and experience.

Application

Applications must be submitted via AcademicJobsOnline: https://academicjobsonline.org/ajo/jobs/6983


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.

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