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* Please post your job ad below.
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* '''Please remove your posting when the position is filled.'''  
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* '''[[Instructions for Posting Job Ads]]'''
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* Please include the following information:
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* See also the [http://linguistlist.org/jobs Linguist Job List].
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** Employer
 
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** Rank or Title
 
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** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
 
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** Deadline
 
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** Date Posted
 
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** Contact email or link to website
 
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2007]]
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** [[Employment opportunities posted 2015|2015]] - [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2008]]
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== Research Position in Computational Linguistics at Austrian Research Institute for AI (OFAI), Vienna ==
 
  
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* '''Employer:''' OFAI, Vienna, Austria
 
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* '''Title:''' Researcher
 
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* '''Specialty:''' Computational Linguistics
 
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* '''Deadline:''' April 15, 2009
 
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* '''Date Posted:''' March 30, 2009
 
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* '''Links to website:''' [http://www.ofai.at/research/nlu/]
 
  
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The Austrian Research Institute for Artificial Intelligence (OFAI)
 
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in Vienna, Austria offers two research positions in its Language
 
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Technology group.
 
  
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Candidates are expected to have a degree in computational linguistics
 
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or computer science with a background in language technology.
 
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She/he will be an open minded team worker, who is able
 
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to work creatively in an interdisciplinary context. She/he will have
 
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good programming skills and be able to flexibly use different
 
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programming languages. She/he likes to to work in a research environment
 
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constantly learning and developing fresh concepts and ideas.
 
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Publishing research results is part of the job and actively encouraged.
 
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The successful candidates will have a strong background in one or more of
 
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the following areas: ontology engineering, semantic systems, text mining
 
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and machine learning.
 
  
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Fluency in English is expected.
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==NLP Postdoctoral Researcher at UNSW, Australia==
  
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Both positions are in the framework of a project aiming at advancing
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* Employer: The University of New South Wales, Australia
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speech recognition by the integration of (context-dependent) semantic
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* Title: Research Associate/Fellow
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knowledge. The project is ongoing and will continue until April 2010.
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* Specialty: NLP, Knowledge Graph
 +
* Location: Sydney, Australia
 +
* Deadline: June 6th, 2016
 +
* Date posted: May 14th, 2016
 +
* Contact: Wei Wang (weiw@cse.unsw.edu.au)
  
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Contracts will be for the duration of the project.
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'''POSITION DESCRIPTION'''
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Continued employment after the end of the project is possible.
 
  
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Depending on academic credentials and experience of the candidate,
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A postdoctoral position is available in School of Computer Science and
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the yearly gross salary will be in the range of EUR 42000 - 54000.
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Engineering at the University of New South Wales, Australia. The successful
 +
candidate will work with Dr. Wei Wang on utilizing Natural language processing
 +
(NLP), data mining, and semantic web to develop novel algorithms, tools and
 +
methods for constructing and maintaining domain-specific knowledge graphs from
 +
vast amount of unstructured/semi-structured data sources. This position is
 +
funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was
 +
established in 2014 with a grant of A$25 million from the Australian Government,
 +
researchers and industry to provide the Big Data capability resulting in a safer
 +
and more secure nation and a sustainable Big Data workforce for Australia.
  
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Both positions are to be filled asap.
 
  
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Please mail applications including a CV to Harald Trost <harald.trost@ofai.at>
+
'''POSITION REQUIREMENTS'''
  
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==Postdoctoral Fellowship at the Institut de Recherche en Informatique de Toulouse (IRIT) Université de Toulouse 3==
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Essential criteria:
  
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Subject : Applying learning techniques to discourse analysis
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* Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.
 +
* Excellent programming skills (java or C/C++).
 +
* A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.
 +
* Proven ability to communicate specialist ideas clearly in English using written media.
 +
* Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
 +
* A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.
  
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Période : 12 months, September 2009 -> August 2010
 
  
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Context :
+
Desirable criteria:
−
This postdoctoral fellowship, is part of the ANR project
 
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ANNODIS, which includes the labs: IRIT (Université de Toulouse 3), CLLE (Université
 
−
de Toulouse 2), and GREYC Université de Caen).  The goal of this project is to
 
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build a corpus of French texts annotated with discourse structure at several levels.  The project also has the goal of providing automatic and semi-automatic tools for helping with this task.
 
  
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The postdoctoral fellow will be a member of the IRIT lab at l'université de Toulouse 3, Toulouse, in the research group Lilac under the direction of
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* Knowledge of statistical natural language processing.
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Nicholas Asher.
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* Knowledge of knowledge graph construction and applications.
 +
* Experience with analysing large text corpora using a high-performance computing environment.
 +
* Experience with python/R
  
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Objectives :
 
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Based on the data culled from the manual annotation of our corpus, the first objective of the postdoctoral fellow will be to design and supervise experiments for the automatic recovery of the discourse structure of a text and to evaluate the feasibility of semi supervised and supervised learning strategies given the data in the corpus.  A discourse structure is a graph where the nodes are text segments and the arcs are discourse relations.  Thus, the extraction task  has three stages: 1) finding the segments, 2) determining the attachment points for segments in the graph et 3) determining the discourse relation or relations between the attached segments.
 
  
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The postdoctoral fellow will also be in charge of the final collection and organization of the manual annotation data.
+
'''SALARY RANGE AND CONTRACT LENGTH'''
 +
 
 +
* Research Associate:  A$86,438 - A$92,453 per year  (plus employer superannuation)
 +
* Research Fellow:    A$97,090 - A$114,454 per year (plus employer superannuation)
 +
 
 +
This is a fixed term position of one year with further renewal up to January 2019, subject to funding.
 +
 +
 
 +
'''ENVIRONMENT'''
 +
 
 +
The School of Computer Science and Engineering in UNSW, located in Sydney, is
 +
one of the largest and leading computing schools in Australia. It offers both
 +
undergraduate and postgraduate programs in Software Engineering, Computer
 +
Engineering, Computer Science and Bioinformatics, as well as a number of
 +
combined degrees with other disciplines. It attracts excellent students who have
 +
an outstanding record in international competitions (such as Robocup).
 +
 
 +
 
 +
'''APPLICATION'''
 +
 
 +
Please send a statement of interest, an academic CV (in pdf format) to Wei Wang
 +
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For
 +
informal queries, please send an email to weiw@cse.unsw.edu.au.
 +
 
 +
 
 +
 
 +
 
 +
 
 +
 
 +
==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.  
 +
 
  
−
Candidate should have:
 
−
- a Ph.D.
 
−
- competence in NLP and/or information extraction, and automated learning methods.
 
  
−
A familiarity with theories of discourse structure would be a Plus.
 
  
 +
==Research Scientist, Natural Language Processing==
  
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Salary: 3000 euro per month
+
* 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 ([mailto:david@emr.ai david@emr.ai])
  
−
Candidates should send a dossier with a detailed CV (pdf) by email to:
+
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.
−
asher@irit.fr AND muller@irit.fr.
 
  
−
== Post-Doctoral Position in Computational Linguistics at Uppsala University ==
+
'''Summary'''
  
−
* '''Employer:''' Uppsala University, Sweden
+
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.
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* '''Title:''' Research Fellow
 
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* '''Specialty:''' Computational Linguistics
 
−
* '''Deadline:''' April 24, 2009
 
−
* '''Date Posted:''' March 17, 2009
 
−
* '''Links to website:''' [http://stp.lingfil.uu.se/~nivre/docs/PostdocUU.pdf | Post-Doc Position]
 
  
−
This is a full-time, limited-term position that can maximally be extended up to four
+
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.
−
years. The position involves a small amount of teaching and supervision but is mainly
 
−
devoted to research. The deadline for applications is April 14, 2009. For more
 
−
information, contact Joakim Nivre <joakim.nivre@lingfil.uu.se>.
 
  
−
== Research Positions, Human Language Technology Center of Excellence ==
+
'''Responsibilities'''
  
−
* '''Employer:''' Human Language Technology Center of Excellence (at Johns Hopkins University)
+
* 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.
−
* '''Titles:''' Postdoctoral researchers, research staff, professors on sabbaticals, visiting scientists
+
* 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.
−
* '''Specialty:''' Speech and Natural Language Processing
+
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
−
* '''Deadline:''' April 1, 2009
+
* 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.
−
* '''Date Posted:''' March 12, 2009
+
* 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.
−
* '''Links to website:''' [http://web.jhu.edu/HLTCOE/opportunities.html | Research Position]
 
  
−
The Human Language Technology Center of Excellence (COE) at the Johns Hopkins University is seeking to hire outstanding Ph.D. researchers in the field of speech and natural language processing. The COE seeks the most talented candidates for both junior and senior level positions including, but not limited to, full-time research staff, professors on sabbaticals, visiting scientists and post-docs. Candidates will be expected to work in a team setting with other researchers and graduate students at the Johns Hopkins University, the University of Maryland College Park and other affiliated institutions.
+
'''Skills'''
  
−
Candidates should have a strong background in one of the following 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.
  
−
- NATURAL LANGUAGE PROCESSING: Information extraction, knowledge distillation, machine translation, semantic annotation, text processing, etc.
+
'''Benefits'''
  
−
- SPEECH PROCESSING: Robust speech recognition across language channel, formal vs. informal genres, speaker identification, language identification, speech retrieval, spoken term detection, etc.
+
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.
  
−
- MACHINE LEARNING: Learning on very large datasets and streams for text and/or speech, feature extraction, domain adaptation, semi-supervised learning
+
'''How to Apply'''
  
−
The COE was founded in January 2007 and has a long-term research contract as an independent center within Johns Hopkins University. Located next to Johns Hopkins’ Homewood Campus in Baltimore, Maryland, the COE’s distinguished contract partners include the University of Maryland College Park, the Johns Hopkins University Applied Physics Lab, and BBN Technologies of Cambridge, Massachusetts.  World-class researchers at the COE focus on fundamental challenge problems critical to finding solutions for real-world problems of importance to our government sponsor. The COE offers substantial computing capability for research that requires heavy computation and massive storage. In the summer of 2009, the COE will hold its first annual Summer Camp for Advanced Language Exploration (SCALE), inviting the best and brightest researchers to work on common areas in speech and NLP. Researchers are expected to publish in peer-reviewed venues.
+
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]
  
−
Applicants should have earned a Ph.D. in Computer Science or a closely related field. Applicants should submit a curriculum vitae, research statement, names and addresses of at least four references, and an optional teaching statement. Please send applications and inquiries about the position to hltcoe-hiring@jhu.edu.
+
'''Contact'''
  
−
While applications will be evaluated as received until the position is filled, applicants are strongly encouraged to indicate intent to apply by contacting the center before April 1, 2009. U.S. Citizenship is required and applicants should note citizenship status on their application. Additionally, security clearance is required and the COE will seek a clearance for those who do not already have one. The Johns Hopkins University is an equal opportunity employer and has a smoke-free environment.
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EMR.AI Inc.
  
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== Chair and Lectureship in Computing Science, Aberdeen ==
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90 New Montgomery St
  
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* '''Employer:''' University of Aberdeen
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San Francisco, CA 94105, USA
−
* '''Titles:''' Chair (full professor), Lecturer (assistant professor)
 
−
* '''Specialty:''' See full adverts. Areas include multi-modal interaction and natural language generation
 
−
* '''Deadline:''' April 13, 2009
 
−
* '''Date Posted:''' February 26, 2009
 
−
* '''Links to website:''' [http://www.abdn.ac.uk/jobs/display.php?recordid=NAT016A | Chair position] [http://www.abdn.ac.uk/jobs/display.php?recordid=NAT017A | Lectureship position] [http://www.csd.abdn.ac.uk/research | Research at Aberdeen]
 
  
−
== Natural Language Generation Group, The Open University: Research Associate, Text-to-Text Generation/Dialogue ==
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phone: +1-415-200-8535
  
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* '''Employer:''' The Open University
+
e-mail: [mailto:info@emr.ai info@emr.ai]
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* '''Title:''' Research Associate
 
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* '''Specialty:''' Text-to-Text Generation/Dialogue
 
−
* '''Deadline:''' February 15, 2009
 
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* '''Date Posted:''' February 3, 2009
 
−
* '''Link to website:''' [http://www3.open.ac.uk/employment/job-details.asp?id=4373&ref=ext| job details and application form]
 
  
−
== National Research Council of Canada: Research Officer, Statistical Semantics ==
+
www: [http://emr.ai http://emr.ai]
  
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* '''Employer:''' National Research Council of Canada
 
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* '''Title:''' Research Officer
 
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* '''Specialty:''' Statistical Semantics (2 positions)
 
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* '''Deadline:''' Posted until filled
 
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* '''Date Posted:''' January 20, 2009
 
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* '''Link to website:''' [http://careers-carrieres.nrc-cnrc.gc.ca/careers/jobpost.nsf/EnglishAll/187241FAD78497FC85257540005E75CA Research Officer, Statistical Semantics (2 positions)]
 
  
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The Institute for Information Technology at the National Research Council of Canada has openings for two Research Officers to work in the area of statistical semantics, a sub-field of statistical natural language processing. These two positions are full-time and continuing.  They are based in Ottawa, Ontario. The successful candidates will perform original research that contributes to the Institute's focus on language processing, text mining, and machine translation.  They will, in collaboration with other researchers and programmers, create prototypes of their work and publish their research results in highly-cited journals and conferences. The position offers the opportunity to collaborate with colleagues, university researchers, and industrial partners.
 
  
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The researchers will work in a results-driven environment and will have the opportunity to apply their research results to ongoing high profile projects, such as processing of textual medical records or performing machine translation.
+
==Research Scientist on Natural Language Processing==
  
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== Postdoctoral and research engineer positions available at the Singapore Management University ==
+
* 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]
  
−
The School of Information Systems at the Singapore Management University is seeking to fill a few postdoctoral and research engineer positions for the projects "Transfer Learning for Adaptive Relation Extraction" and "Mining Interaction Behaviors from Information Exchange Networks."  These are two-year projects supported by the Singapore Defense Science Organization, starting in April 2009.
 
  
−
The goal of the first project is to develop adaptive learning algorithms for relation extraction from free text. In real applications of relation extraction, there is often insufficient training data available for the target relations in the target domain, but labeled data from related domains or for related relation types can be borrowed. The research questions to be answered are therefore (1) how existing transfer learning algorithms can be applied in the particular context of relation extraction, (2) how human knowledge can be incorporated, and (2) what new transfer learning techniques are needed for adaptive relation extraction.
+
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 goal of the second project is to study characterization and measurement of interaction behaviors in information exchange networks based on user-generated interaction data. We will focus on information exchange networks which involve actors sending information to one another.  Examples of such networks include email and blog networks. The research will focus on interaction behaviors that suggest actor roles in an information exchange network and may infer relationships between actors in the network.
+
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.
  
−
The postdoctoral candidate must have completed all requirements for his/her PhD degree by the time of appointment. The research engineer candidate must have completed a good undergraduate or master degree in computer science or computer engineering.  The ideal candidates are expected to have the following skills/qualifications:
 
  
−
  - Knowledge and experience in machine learning, data mining and statistics/probabilities
+
==Postdoc Researcher on Vision and Language==
−
  - Strong programming skills
 
−
  - Proficiency in English
 
  
−
For the first project, we also prefer candidates with
+
* 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]
  
−
  - Knowledge and experience in natural language processing
+
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.
−
  - Experience with information extraction, transfer learning and/or semi-supervised learning is a plus
 
  
−
For the second project, we also prefer candidates with
+
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.
  
−
  - Knowledge in social network analysis and web mining
 
  
−
The salary for the postdoctoral position will be around 5,000 SGD per month.  The salary for the research engineer position will be based on the candidate’s working experience and academic degree.
+
==Postdoc Positions at Johns Hopkins University==
  
−
To apply for the positions, send your full CV with list of publications, names and contact information of two referees, a statement of research qualifications and interests, and two sample publications (if any) to the following principle investigators:  
+
* 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/]
  
−
  1. Transfer Learning for Adaptive Relation Extraction: Jing Jiang (jingjiang@smu.edu.sg).  
+
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.
−
  2. Mining Interaction Behaviors from Information Exchange Networks: Ee-Peng Lim (eplim@smu.edu.sg).
 
  
−
== Tenure Track Faculty Position: Assistant/Associate Professor in Human Computer Interaction, Montclair State University, NJ, USA ==
+
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
  
−
Vacancy #: VF-22
+
Host faculty include:
−
Department: Computer Science
+
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria
−
 
−
The Department of Computer Science invites applications for a tenure track position in Human Computer Interaction (HCI) and Visualization. The Department’s 13 faculty members support the BS in Computer Science with an ABET CAC accredited track, the BS in Information Technology and the MS in Computer Science. The position requires a willingness to teach a variety of computer science and information technology courses at all levels to ethnically diverse students. The position entails the ability to work as a member of interdisciplinary teams as the Department develops and modifies computing undergraduate and graduate programs with a planned doctoral program in computational science. In addition, the successful candidate will develop and maintain an active research program with student involvement.
 
−
 
−
Qualifications & Requirements: Candidates must have a Ph.D. in computer Science or a very closely related discipline. Candidates must have expertise in Human Computer Interaction with preference to candidates with experience in software engineering, interfaces, and visualization, and research in HCI. Candidates must have good communication skills. We are looking for candidates with experience in teaching undergraduate computing courses and in working as a member of a team. All faculty are expected to have an ongoing research program, to commit to quality teaching, to be involved in professional activities, and to pursue external funding to support their scholarship.
 
−
 
−
Salary Range:            Salary and range is dependent on qualifications.
 
−
Anticipated Start Date:  September 1, 2009
 
  
−
Send letter and resume to (include vacancy # if above):
 
−
Send hardcopy (no email documents) that includes C.V., at least three professional references, statement of research interests, teaching philosophy with experience, and professional goals to:
 
  
−
Search Committee — V- F22
+
==Associate/Full Professor in Computational Linguistics at Stony Brook University==
−
Department of Computer Science
+
* Employer: Department of Linguistics, Stony Brook University
−
Montclair State University
+
* Title: Associate/Full Professor
−
Montclair, NJ 07043
+
* 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]
  
−
(include V number) and professional goals to:
+
'''Job Description'''
−
Search Committee — V- F22
 
−
Department of Computer Science
 
−
Montclair State University
 
−
Montclair, NJ 07043
 
  
−
Apply By: Screening begins immediately and continues until the position is filled.
+
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.
  
−
Montclair State is a New Jersey State university. It is located 14 miles west of New York City.
+
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.
  
−
== Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research Centre Europe, Grenoble - France ==
+
They will also be expected to
  
−
The main research lines within the Cross Language Technologies (CLT) area at XRCE are Statistical Machine Translation, Cross-Lingual Information Retrieval and Machine Learning Techniques for Cross-Lingual Applications. CLT is currently coordinating the European Project SMART (Statistical Multilingual Analysis for Retrieval and Translation) [http://www.smart-project.eu].  
+
* 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.
  
−
XRCE has received funding from the PASCAL-2 Network of Excellence [http://pascallin2.ecs.soton.ac.uk] for conducting, in partnership with Bar-Ilan University in Israel, a "Pump Priming" project on the topic of "Context Models for Textual Entailment and their Application to Statistical Machine Translation". One of the goals of the project is to investigate situations in which, while a translation system may not have enough knowledge to adequately translate a source text into a target text, it may be able to do so based on entailment rules learned from monolingual data.  
+
Salary will be commensurate with education and experience.
  
−
We are looking for preferably one (in this case the internship would be for 10 months ) or two interns (in this case each internship would last 5 months with the first starting at the beginning of 2009) to work on this topic under the supervision of XRCE researchers, and in collaboration with our partners. The focus of the work will be on the following topics:
+
'''Application'''
  
−
* Integration of existing paraphrase and entailment resources into SMT settings, and assessment of their applicability in this domain;
+
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]
−
* Development (in collaboration with our partners) of novel models for assessing the validity of entailment rules in context and implementation of SMT-based modules that are able to exploit such rules;
 
−
* Methodology and measures for controlling the use of directional and bi-directional entailment rules in SMT;
 
−
* Use of entailment knowledge for evaluating the performance of SMT systems.  
 
  
−
The ideal candidate will be a strong Master or Ph.D. student with background in statistical machine translation and/or statistical methods in NLP. The candidate will be fluent in C/C++ and/or Python. Some knowledge and practice of Machine Learning models and tools will be a plus, as will be some previous acquaintance with work on Textual Entailment.
 
  
−
Contact:
+
==Research Scientist at the Allen Institute for Artificial Intelligence==
  
−
* Lucia Specia: lucia.specia@xrce.xerox.com
+
* Employer: Allen Institute for Artificial Intelligence (AI2)
−
* Marc Dymetman: marc.dymetman@xrce.xerox.com
+
* 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
  
−
For more information: http://www.xrce.xerox.com/internships/LS-MD.TE-SMT_2009.2008.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.  
  
−
== Research Position at Stanford CSLI: Robust Dialogue Understanding and Dialogue Management ==
+
'''Position Summary'''
  
−
The Center for the Study of Language and Information (CSLI) at Stanford University is seeking a Research Scientist to work on multimodal spoken-language dialogue systems, starting as soon as possible, preferably 1 September 2008.
+
AI2 currently has projects in the following areas:
  
−
The ideal candidate is a Computational Linguist with an interest in the computational semantics and pragmatics of dialogue, with experience in formally-inspired and/or statistical/machine-learning approaches to natural language processing and dialogue modeling. The position requires a Ph.D. in computational linguistics, natural language processing, artificial intelligence, cognitive science, or a related field. Applicants should have a demonstrated capacity to define and implement a research plan, and to conduct individual and collaborative research consonant with the dialogue-systems projects underway at CSLI.
+
* 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
  
−
Current research into dialogue at CSLI includes human-human, human-computer and human-robot dialogue modeling, and employs a variety of techniques, including symbolic and stochastic, theory and data-driven. Proficiency in multiple approaches relevant to current CSLI application areas will be highly valued, as will an ability to  participate in implementation.
+
And more….  
  
−
Research topics of particular interest include:
+
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.  
−
* robust semantic interpretation from noisy data (e.g. fragment parsing, role detection);
 
−
* robust context-based pragmatic interpretation (e.g. anaphora/ellipsis/fragment resolution, dialogue act detection);
 
−
* multi-party discourse modeling (e.g. group decision-making, collaborative task planning, addressee detection);
 
−
* multimodal dialogue management;
 
−
* multimodal incremental processing;
 
−
* probabilistic dialogue state/activity modeling and tracking.
 
  
−
The successful candidate will work with faculty, postdoctoral, and student researchers in the Dialogue Systems Group at CSLI, performing novel research and developing core infrastructure for natural multimodal conversational systems for a range of interactions and applications. Responsibilities will include supervising student research assistants and participating in proposal-preparation to attract new funding.
+
'''Applicant'''
  
−
The CSLI Dialogue Systems Group consists of about fifteen people, and is involved in a number of projects including close collaboration with other Stanford departments, numerous other academic institutions, government agencies such as NASA, not-for-profit research organizations such as SRI, and various commercial enterprises. Current projects include: understanding multi-party conversational interaction; speech-enabled intelligent tutoring systems; collaborative control of teams of robotic devices; and situated human-robot interaction.
+
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.  
  
−
The position is initially for 1 year, renewable for up to 3 years (contingent on continued funding). Salary is dependent on qualifications and experience, but is expected to be in a range starting from $70,000 for a junior appointee, to $90,000 for a senior appointee.
+
'''Why AI2'''
  
−
Applicants should submit a letter of application and a full resume or curriculum vitae with names and email addresses of at least three references. Please contact [http://godel.stanford.edu/twiki/bin/view/Public/WebHome Stanley Peters] and [http://www.stanford.edu/~raquelfr/ Raquel Fernandez] ({peters,raquelfr}@csli.stanford.edu) for further information.
+
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:
  
−
Stanford University is an equal opportunity, affirmative action employer.
+
* 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!
  
−
== Job Announcement: Programmer Analyst - Text and Speech Annotation Support, Linguistic Data Consortium, Philadelphia, USA ==
+
'''Application Process'''
  
−
* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
+
Visit our website for more information: http://allenai.org/jobs.html
−
* Title: Programmer Analyst (full-time position)
 
−
* Specialty: Corpus Creation, Text and Speech Annotation Support
 
−
* New Deadline: Aug 15, 2008 (open until filled)
 
−
* Date Posted: July 28, 2008
 
−
* LDC website: http://www.ldc.upenn.edu
 
−
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=57140&SubID=185481
 
  
−
==  Job Announcement: Research Statistician - Data Mining Applications Development, Cary, NC ==
 
  
−
'''Employer:''' SAS Institute, Inc.
+
==Software Engineer  - Machine Learning / NLP (Chinese) at SYSTRAN==
  
−
'''Title:''' Research Statistician - Data Mining Applications Development-08002151
+
* 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
  
−
'''Specialty:''' Computational Linguistics
+
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.
  
−
'''Deadline:''' Until Filled
+
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.
  
−
'''Date Posted:''' June 30, 2008
+
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.
  
−
'''Website:''' [http://www.sas.com www.sas.com]
+
'''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
  
−
'''Research Statistician - Data Mining Applications Development-08002151'''
+
'''Benefits'''
 +
* Successful candidates will be offered a competitive salary based on their qualifications and experience.
  
−
'''Description'''
 
−
 
−
As a member of the SAS Enterprise Miner Development team, you will develop state-of-the-art algorithms to solve problems in text and data mining.
 
−
 
−
Your primary responsibility will be to develop algorithms to analyze tone and sentiment in textual documents, and to develop learning techniques to perform Boolean rule induction for textual categorization.  In this role, you will collaborate with applications developers, senior statistical researchers, product marketing, systems engineers, and technical support personnel; and work with testing and documentation staff to develop test plans and contribute to product documentation.  You will also research data mining applications; plan and develop implementations; and author papers and presentations on your work.
 
  
 +
==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==
  
−
'''Qualifications'''
+
* 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
−
'''Essential'''
 
  
−
• Ph.D. degree in statistics, computational linguistics, computer science, or a related quantitative field
+
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.
  
−
'''Equivalent Essential'''
+
'''Summary of Job Purpose and Principal Duties'''
  
−
• Master's degree in statistics, computational linguistics, computer science or a related quantitative field
+
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.
  
−
• 2 years of experience developing statistical algorithms
+
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.
  
−
'''Additional'''
+
'''Job Summary'''
  
−
• Excellent interpersonal and problem-solving skills
+
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:
  
−
• Excellent written and verbal communication skills
+
* 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.
  
−
• Ability to work independently, as well as with a team
+
'''Application Requirements'''
  
−
• Knowledge of predictive modeling methods and applications
+
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.
  
−
'''Preferences'''
 
  
−
• 3 years of experience developing statistical algorithms
+
==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)
  
−
• 2 years of experience programming in C
+
'''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.
  
−
• Experience with SQL programming in relational database environments
+
'''Supervisor''': Sunny Khemlani, PhD
  
−
• Experience with SAS platform technologies, such as Stored Process Development
+
'''Key qualifications''':  A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.
  
 +
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.
  
−
'''Additional Information'''
+
'''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.
−
 
−
The level of this position will be determined based upon the applicant's education, skills and experience.
 
−
 
−
Resumes may be considered in the order they are received.
 
  
 +
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.
  
−
'''Job:''' Software R&D
 
  
−
'''Primary Location:''' US-NC-Cary
+
==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
  
−
'''Organization:''' SAS Institute Inc.
+
'''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.
  
−
'''Classification:''' Full-time
+
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.
  
−
== Job Announcement: Postdoctoral Researcher in Natural Language Processing, School of Informatics, University of Edinburgh ==
+
We have multiple positions on two main tracks:
  
−
'''POST-DOCTORAL RESEARCHER IN NATURAL LANGUAGE PROCESSING'''
+
* 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.
  
−
'''Job Details'''
+
* 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.
  
−
*Job Reference  3009188
+
'''Qualifications'''
−
*Department      Informatics 
+
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.
−
*Job Title      Research Associate
 
−
*Job Function    Academic
 
−
*Job Type        Fixed Term: 36 months
 
−
*Expiry Date    15 July 2008
 
−
*Salary Scale    GBP 28,290-33,779
 
−
       
 
−
'''Job Description'''
 
  
−
The School of Informatics at the University of Edinburgh invites
+
'''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.  
−
applications for the post of researcher on the project ``Global
+
−
Inference for Summarization Using Integer Linear Programming'', funded
 
−
by the EPSRC. This project will design and implement novel models for
 
−
summarization that break away from the sentence extraction
 
−
paradigm. The overall aim is to utilize global inference algorithms
 
−
for the summarization task and demonstrate their superiority over
 
−
traditional local optimization methods.
 
  
−
The position is suitable for a candidate with a PhD in Natural
 
−
Language Processing, computer science, mathematics, or a related
 
−
discipline. The successful applicant will have strong programming
 
−
skills and experience with natural language processing techniques and
 
−
machine learning. Experience with summarization and/or optimization
 
−
methods is also desirable. He or she will be responsible for
 
−
developing summarization models (both extractive and abstractive)
 
−
within a global inference framework evaluation and for their
 
−
evaluation. The starting date will be 01 September 2008, or as soon as
 
−
possible thereafter.
 
  
−
Informal inquiries can be made by email to Mirella Lapata
+
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
−
(mlap@inf.ed.ac.uk). Further particulars for this position can be
+
* Employer: Brigham and Women's Hospital / Harvard Medical School
−
found at:
+
* 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)
  
−
http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3009188
+
'''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.
  
−
The closing date for applications is 15 July 2008. Please submit your
+
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
−
application online at the URL given above or in hardcopy to the
 
−
following address, quoting job reference 3009188:
 
  
−
  Ms. Avril Heron
+
'''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.
−
HCRC, University of Edinburgh
 
−
2 Buccleuch Place
 
−
Edinburgh EH8 9LW
 
−
United Kingdom
 
−
School of Informatics
 
  
−
==  Job Announcement: Natural Language Processing expert, Market Sentinel Ltd, London, UK ==
+
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
  
−
* Employer: Market Sentinel Ltd, 9 Wigton Place, London SE11 4AN, UK +44 (0) 20 7793 1575
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
−
* Title: Natural Language Processing expert (contract)
 
−
* Deadline: May 30, 2008 (open until filled)
 
−
* Date Posted: May 14th, 2008
 
−
* Market Sentinel website: http://www.marketsentinel.com
 
−
* We're a London-based company with a focus on social network analysis.
 
−
* We offer a rare opportunity to join a young, fast-growing company.
 
−
* The raw materials we process are online conversations, so we're looking for someone with expertise in natural language processing to join our team.
 
−
* Our aim is to improve the ability of our platform to understand the text it encounters.
 
−
* We're looking for a smart, self-motivated problem-solver whose keen to apply computational linguistics technology to the real world.
 
−
* Knowledge of agile software development on a Linux platform would be helpful, as would experience of Python, Java, Perl and XML processing.
 
−
* As we're an agile team, we like eloquent people who can communicate as well with other people as they can with machines.
 
−
* We want more than just a developer, someone who can research problems, identify solutions and implement them. Your talents will help construct an emerging enterprise. If such challenges excite you, we'd love to hear from you.
 
  
−
* Mail a CV to joinmarketsentinel [AT] gmail [DOT} com or call us to know more on the number above
+
'''Available''': Immediately.
  
−
== Job Announcement: Programmer Analyst - Arabic Treebank, Linguistic Data Consortium, Philadelphia, USA ==
+
'''Compensation''': according to NIH (NRSA) stipend levels.
  
−
* Employer: Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.
−
* Title: Programmer Analyst (full-time position)
 
−
* Specialty: Corpus Creation, Arabic Treebank
 
−
* New Deadline: August 15, 2008 (open until filled)
 
−
* Date Posted: April 9, 2008
 
−
* LDC website: http://www.ldc.upenn.edu
 
−
* See full job description: http://linguistlist.org/jobs/get-jobs.cfm?JobID=53141&SubID=174250
 

Revision as of 21:51, 13 May 2016




NLP Postdoctoral Researcher at UNSW, Australia

  • Employer: The University of New South Wales, Australia
  • Title: Research Associate/Fellow
  • Specialty: NLP, Knowledge Graph
  • Location: Sydney, Australia
  • Deadline: June 6th, 2016
  • Date posted: May 14th, 2016
  • Contact: Wei Wang (weiw@cse.unsw.edu.au)

POSITION DESCRIPTION

A postdoctoral position is available in School of Computer Science and Engineering at the University of New South Wales, Australia. The successful candidate will work with Dr. Wei Wang on utilizing Natural language processing (NLP), data mining, and semantic web to develop novel algorithms, tools and methods for constructing and maintaining domain-specific knowledge graphs from vast amount of unstructured/semi-structured data sources. This position is funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was established in 2014 with a grant of A$25 million from the Australian Government, researchers and industry to provide the Big Data capability resulting in a safer and more secure nation and a sustainable Big Data workforce for Australia.


POSITION REQUIREMENTS

Essential criteria:

  • Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.
  • Excellent programming skills (java or C/C++).
  • A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.
  • Proven ability to communicate specialist ideas clearly in English using written media.
  • Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
  • A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.


Desirable criteria:

  • Knowledge of statistical natural language processing.
  • Knowledge of knowledge graph construction and applications.
  • Experience with analysing large text corpora using a high-performance computing environment.
  • Experience with python/R


SALARY RANGE AND CONTRACT LENGTH

  • Research Associate: A$86,438 - A$92,453 per year (plus employer superannuation)
  • Research Fellow: A$97,090 - A$114,454 per year (plus employer superannuation)

This is a fixed term position of one year with further renewal up to January 2019, subject to funding.


ENVIRONMENT

The School of Computer Science and Engineering in UNSW, located in Sydney, is one of the largest and leading computing schools in Australia. It offers both undergraduate and postgraduate programs in Software Engineering, Computer Engineering, Computer Science and Bioinformatics, as well as a number of combined degrees with other disciplines. It attracts excellent students who have an outstanding record in international competitions (such as Robocup).


APPLICATION

Please send a statement of interest, an academic CV (in pdf format) to Wei Wang (weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For informal queries, please send an email to weiw@cse.unsw.edu.au.




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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