Difference between revisions of "Employment opportunities, postdoctoral positions, summer jobs"

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* '''[[Instructions for Posting Job Ads]]'''
 
* '''[[Instructions for Posting Job Ads]]'''
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
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* See also the [http://linguistlist.org/jobs Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[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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==Faculty Position at UC Berkeley School of Information (Assistant, Associate, Full) ==
 
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* Employer: UC Berkeley
 
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* Title: Professor (Assistant, Associate, or Full)
 
−
* Specialty: many, see below
 
−
* Location: Berkeley, CA, USA
 
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* Deadline: December 15, 2014
 
−
* Date Posted: October 10, 2014
 
−
* Website: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org
 
  
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The UC Berkeley School of Information is seeking a tenured or tenure-track professor with expertise in information organization.
 
−
Candidates should have a demonstrated record of relevant research, with expertise in one or more of the following:
 
  
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search and information retrieval
 
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- automated content analysis, including
 
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- applications to normalizing data and creating metadata, and/or applications to analyzing social science text, such as political text, or other information rich text such as - biomedical, legal, or marketing text;
 
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- practical computational approaches for analyzing information in non-textual formats;
 
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- conceptual modeling of information systems;
 
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- computational approaches to cognition;
 
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- semantic representation and annotation;
 
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- vocabulary and metadata design;
 
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- classification and standardization including policy considerations;
 
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- category learning at scale;
 
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- data wrangling.
 
  
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A successful candidate will possess appropriate technical expertise and research excellence, and be committed to working on issues related to information and/or information system design and development in a multidisciplinary setting. Relevant professional or industry experience, including hands-on experience with large-scale collections, is also desirable.
 
  
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Additionally, a successful candidate must be able to teach a course in the design, structure, and use of category systems, data architecture and design for information systems, metadata creation and normalization, and data interchange formats and standards. Additional instructional topics that are desired but not required are database design, natural language processing, and information retrieval and ranking.
 
  
−
Applications are due December 15, 2014.
 
  
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For more details, see the full job description at: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org
+
==NLP Postdoctoral Researcher at UNSW, Australia==
  
−
==Post-doctoral position at McMaster University, Canada ==
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* Employer: The University of New South Wales, Australia
−
* Employer: McMaster University
+
* Title: Research Associate/Fellow
−
* Title: Postdoctoral Fellow
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* Specialty: NLP, Knowledge Graph
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* Specialty: natural language processing, sentiment analysis, computational linguistics.
+
* Location: Sydney, Australia
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* Location: Hamilton, Ontario, Canada
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* Deadline: June 6th, 2016
−
* Deadline: December 20, 2014
+
* Date posted: May 14th, 2016
−
* Date Posted: October 23, 2014
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* Contact: Wei Wang (weiw@cse.unsw.edu.au)
−
* Website: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf
 
  
−
Applications are solicited for a postdoctoral fellowship in the Cognitive Science of Language graduate program at McMaster University for the topic of developing psychologically grounded tools for sentiment analysis. Applicants would have their primary affiliation and work location in the Department of Linguistics and Languages at McMaster University, and will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. You will be expected to participate in a research program that explores individual and group (gender, age) variability in perception and regulation of emotion.
+
'''POSITION DESCRIPTION'''
  
−
Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.  
+
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.
  
−
Please see the following web page for further details and the application procedure:
 
−
http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf
 
  
 +
'''POSITION REQUIREMENTS'''
  
−
== Post-doc in Bio-NLP Social Media Mining for Adverse Drug Reactions ==
+
Essential criteria:
−
* Employer: University of Liverpool
 
−
* Title: Postdoctoral Research Associate
 
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* Specialty: Bio-NLP, Natural Language Processing, Social Media Mining, Web Mining
 
−
* Location: Liverpool, United Kingdom
 
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* Deadline: November 14, 2014 17:00 GMT
 
−
* Date Posted: October 23, 2014
 
  
 +
* 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.
  
−
You will work on the IMI project, WEB-RADR.  This is a highly innovative project involving collaboration across the EU and with researchers in the USA which will evaluate the use of social media in identifying adverse reactions to drugs.  You will be working between two Faculties (Science & Engineering, and Health & Life Sciences) and the project will be inherently inter-disciplinary.  Practical experience of software development, and good knowledge of Bio-NLP tasks such as NER, text classification, and social media analysis are essential to the role. You should have a PhD Level in NLP, Data/Web/Text Mining, or Machine Learning. The post is available until 31 August 2017.
 
  
−
Please see the following web page for further details including job specifications and application form.
+
Desirable criteria:
−
http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-586752/
 
  
−
==Tenure-track Faculty Position at University of Michigan School of Information==
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* Knowledge of statistical natural language processing.
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* Employer: University of Michigan
+
* Knowledge of knowledge graph construction and applications.
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* Title: Assistant Professor
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* Experience with analysing large text corpora using a high-performance computing environment.
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* Specialty: Information Analysis and Retrieval
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* Experience with python/R
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* Location: Ann Arbor, Michigan, USA
 
−
* Deadline: November 15, 2014 preferred
 
−
* Date Posted: October 22, 2014
 
  
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https://www.si.umich.edu/prospective-faculty/position-call-information-analysis-retrieval
 
  
−
The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or “big data.” While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Applications of particular interest include, but are not limited to, scientific and health data analysis, text analysis, social media analysis and digital humanities.
+
'''SALARY RANGE AND CONTRACT LENGTH'''
  
−
The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.
+
* 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)
  
−
The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students. We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), and a Bachelor of Science in Information.  
+
This is a fixed term position of one year with further renewal up to January 2019, subject to funding.
 +
  
−
Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion.
+
'''ENVIRONMENT'''
  
−
Qualifications:
+
The School of Computer Science and Engineering in UNSW, located in Sydney, is
−
* Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval
+
one of the largest and leading computing schools in Australia. It offers both
−
* Demonstrated potential and strong commitment to successful teaching at the undergraduate and graduate level
+
undergraduate and postgraduate programs in Software Engineering, Computer
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* Demonstrated potential for high scholarly impact
+
Engineering, Computer Science and Bioinformatics, as well as a number of
−
* A strong commitment to connecting information, technology, and people that values interdisciplinary research, and cultural diversity
+
combined degrees with other disciplines. It attracts excellent students who have
 +
an outstanding record in international competitions (such as Robocup).
  
−
Review of applications will begin on November 15, 2014 and will continue until the position is filled. For questions about potential fit and your application please contact Dr. Qiaozhu Mei (qmei@umich.edu).
 
  
−
Application materials required: cover letter, curriculum vitae (CV), research statement, teaching statement, three representative publications, and contact information for three references. For more information or to apply, please visit http://apply.interfolio.com/27182.
+
'''APPLICATION'''
  
−
In addition to this position, the UMSI is also looking for applicants in the area of human-computer interaction, communication and technology, and health informatics.
+
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.
  
  
−
==Asst/Assc/Full Professor, Ames, Iowa==
 
−
* Employer: Iowa State University
 
−
* Title: Assistant, Associate, or Full Professor
 
−
* Specialty: Natural Language Processing
 
−
* Location: Ames, Iowa, USA
 
−
* Deadline: December 3, 2014
 
−
* Date Posted: October 21, 2014
 
  
−
Iowa State University has launched the Presidential High Impact Hires Initiative to support targeted faculty hiring in areas of strategic importance. As part of the initiative, the Department of English and the College of Liberal Arts and Sciences invite applications for an Assistant, Associate, or Full Professor in natural language processing with an emphasis in educational applications, particularly analysis of students’ linguistic production. At the undergraduate level, the selected faculty will teach basic courses in English and Linguistics, and at the graduate level, courses in Applied Linguistics and Technology and in Human-Computer Interaction. Potential graduate course content includes programming for NLP, computational analysis of English, statistical analysis of language, discourse analysis, second language acquisition, sentiment analysis, language-based analytics, speech-driven user interfaces or automated content analysis, according to specialty. Research areas of particular interest are pedagogical applications of natural language processing, assessment of learners’ developing language ability, second language acquisition, statistical approaches to the study of language, and the analysis of discipline-specific language.  The position begins August 2015.
 
  
−
The Applied Linguistics and Technology and the Human-Computer Interaction programs attract forward-looking students, who create an exciting intellectual environment. The programs are part of the Department of English, which offers BA degree programs in English, Literature, Rhetorical Studies, and Speech Communication; a BS degree in Technical Communication; as well as—in partnership with the Department of World Languages and Cultures—a minor in World Film Studies. On the graduate level, the department offers MA degrees in Literature; Rhetoric, Composition, and Professional Communication; TESL/Applied Linguistics; as well as an MFA program in Creative Writing and the Environment. The department also offers two PhD programs in Applied Linguistics and Technology and Rhetoric and Professional Communication. The Department of English is committed to diversity among faculty, staff and students who can enrich University objectives in the areas of research, teaching, and service. For more information, see http://www.engl.iastate.edu/.
 
  
−
Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 34,000 students are enrolled, and served by over 6,100 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted second best most livable small city in the nation (see www.amescvb.com).
 
  
−
Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.
+
==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==
  
−
All faculty members are expected to exhibit and convey good citizenship within the program, the department, college, and university activities and collegial interactions, and maintain the highest standards of integrity and ethical behavior.
+
* 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
  
−
A PhD by time of appointment in computational linguistics, natural language processing, or related field for all ranks.  Assistant Professor, tenure-track- The potential for excellence in research and effectiveness in teaching;  Associate Professor – A demonstrated record of accomplishments in scholarship, including an outstanding publication record, demonstrated ability to obtain research funding and effectiveness in teaching;  Full Professor – A demonstrated record of intellectual leadership through high-impact scholarship, including an outstanding publication record, program of funded research and effectiveness in teaching.  Language teaching experience and language assessment experience preferred.
+
'''Summary'''
  
−
Please apply for this position through the Iowa State University website at www.iastatejobs.com (Posting #400050) or by visiting http://www.iastatejobs.com/postings/7815 and click on "Apply to this Job". Please be prepared to enter or attach the following: a letter of application/cover letter, curriculum vitae, statement of teaching/research interests, transcript or list of graduate courses taken, and contact information for three references. Priority consideration will be given to applications received by December 3, 2014.
+
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.  
  
−
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status, and will not be discriminated against. Inquiries can be directed to the Director of Equal Opportunity, 3350 Beardshear Hall, (515) 294-7612.
+
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
  
−
==Computational Linguist, Wrocław, Poland==
 
−
* Employer: Wrocław University of Technology
 
−
* Title: Computational Linguist
 
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* Specialty: Natural Language Engineering, Computational Linguistics
 
−
* Location: Wrocław, Poland/other
 
−
* Deadline: until filled
 
−
* Date Posted: October 15, 2014
 
  
 +
'''How to Apply'''
  
−
'''Team'''
+
Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.
  
−
The academic group G4.19  brings together those interested in linguistics, computational linguistics, and natural language engineering. The Group develops and implements tools for natural language processing. The main focus is on the development of basic tools and language resources for Polish. The Group participates in a number of research projects, among others it coordinates the CLARIN-PL project: http://www.clarin-pl.eu.
 
  
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'''Job description'''
 
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* designing algorithms for the analysis of natural language texts, based on the combination of linguistic knowledge and methods of artificial intelligence (including machine learning, rule-based methods and methods of statistical analysis),
 
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* developing computer systems related to natural language processing and coordinating the work of small teams of programmers (conducting test and research experiments),
 
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* active participation in the ongoing research projects (planning and realisation of experiments , data processing, realisation of dedicated research tasks of varying complexity),
 
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* active participation in preparing applications for new research grants,
 
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* active participation in writing research papers.
 
  
−
'''Requirements'''
 
−
* enthusiastic approach to research and development of language technology for Polish,
 
−
* good knowledge of at least one of the languages: C ++, Python or Java,
 
−
* very welcome good knowledge of Polish,
 
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* knowledge of English sufficient for reading scientific publications and technical documentation,
 
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* welcome knowledge of Linux, Git, UML,
 
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* the preferred candidates should hold PhD degree in computer science, but we do not exclude  candidates holding PhD degree in a different field or those at the advanced stage of work on their PhD.
 
  
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'''We offer'''
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==Research Scientist, Natural Language Processing==
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* participation in large research projects at national and international level,
 
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* good basis for a scientific career and an opportunity of writing a dissertation,
 
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* for PhD students: possibility of employment on a research assistant post,
 
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* choice of form of employment (contract or other),
 
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* attractive salary (in terms of market, not university wages),
 
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* interesting job in a dynamic team,
 
−
* flexible working hours,
 
−
* flexible working time.
 
  
−
If interested, please send your CV and list of publications to: clarin-pl@pwr.edu.pl
+
* Employer: EMR.AI Inc.
−
 
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* Title: Research Scientist
−
The application must include a statement: "I hereby agree for processing my personal data for the purpose of the recruitment process (in accordance with Personal Data Protection Act dated 29.08.1997, Journal of Laws of the Republic of Poland No. 133, item 883)."
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* Specialty: NLP
−
 
+
* Location: San Francisco, CA
−
We kindly inform you that we will contact selected candidates only.
+
* Deadline: May 20th, 2016
−
 
+
* Date posted: April 21th, 2016
−
 
+
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])
−
 
 
−
==Language Processing, Edinburgh, Scotland==
 
−
* Employer: Daxtra Technologies (http://www.daxtra.com)
 
−
* Title: Research Application Developer
 
−
* Specialty: Natural Language Processing
 
−
* Location: Musselburgh, nr Edinburgh, Scotland
 
−
* Deadline: until filled
 
−
* Date Posted: October 10, 2014
 
−
 
 
−
 
 
−
'''Job Description:'''
 
  
−
Daxtra Technologies are looking for people with a background in applied language/text processing to join the R&D team in Edinburgh. Daxtra (a spin-out from the University of Edinburgh) is the leading provider of Natural Language Processing techniques
+
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.
  
−
You will be involved in multilingual grammar engineering, development of statistical text classifiers and search/retrieval components. Apart from a strong background in text processing you will need to demonstrate good experience in computer programming.
+
'''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.
  
−
'''Location:'''
+
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.
−
 
 
−
Daxtra Technologies headquarters in Musselburgh, nr Edinburgh, Scotland
 
−
 
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
For further details or to send us your CV/resume, please contact a.nazarov@daxtra.com
 
−
 
 
−
 
 
−
==Computational Linguists==
 
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* Employer: The Lingua Team
 
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* Title: Computational Linguist
 
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* Specialty: Natural Language Processing
 
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* Location: Seattle or remotely
 
−
* Deadline: ASAP
 
−
* Date Posted: September 22, 2014
 
−
 
 
−
'''Description:'''
 
−
We are looking for several candidates (one for each of the languages advertised) with an advanced degree in Linguistics, or with Computational linguist background. The projects involve morphology tagging and/or linguistic analysis, but they can be done remotely. Languages: French, German, Spanish, US English, Japanese, Brazilian Portuguese, Finnish, or Polish. Please, provide a resume with your email application.
 
−
 
 
−
'''Qualifications:'''
 
−
* Computational Linguistics and/or advanced Linguistics degree
 
−
* Experience drafting grammars or adapting an existing grammar to a second language
 
−
* Programming experience desirable
 
−
* Full understanding of inflectional and derivational morphology, POS, lemmatization, etc.
 
−
 
 
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'''Location:'''
 
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Seattle, WA or remote
 
−
 
 
−
'''How to Apply:'''
 
−
Send your resume to info@thelinguateam.com
 
−
 
 
−
== Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL ==
 
−
 
 
−
* Employer: Toyota Technological Institute at Chicago
 
−
* Title: Visiting student researcher
 
−
* Specialty: Machine learning, NLP, speech
 
−
* Location: Chicago, IL, United States, 60637
 
−
* Deadline: Until filled
 
−
* Date Posted: Sept 10, 2014
 
−
 
 
−
 
 
−
'''Job Description'''
 
−
 
 
−
Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.
 
−
 
 
−
 
 
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The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).
 
−
 
 
−
 
 
−
The target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.
 
−
 
 
  
 
'''Responsibilities'''
 
'''Responsibilities'''
  
−
The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.
+
* 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'''
  
−
'''Qualifications'''
+
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.
  
−
Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.
+
'''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'''
 
'''How to Apply'''
  
−
Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:
+
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]
  
−
* brief cover letter, describing your interest in and qualifications for the position
+
'''Contact'''
−
*  curriculum vitae including publication list
 
−
* two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)
 
  
−
Please see http://ttic.edu/bansal/slu-job.html for more information.
+
EMR.AI Inc.
  
 +
90 New Montgomery St
  
−
== NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA ==
+
San Francisco, CA 94105, USA
  
−
* Employer: Civis Analytics
+
phone: +1-415-200-8535
−
* Title: Data Scientist
 
−
* Specialty: Natural Language Processing / Speech Processing / Machine Learning
 
−
* Location: Chicago, Illinois, USA
 
−
* Deadline: Rolling
 
−
* Date Posted: July 7, 2014
 
  
−
'''Who We Are:'''
+
e-mail: [mailto:info@emr.ai info@emr.ai]
  
−
Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”
+
www: [http://emr.ai http://emr.ai]
  
−
Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems.  We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.
 
  
−
We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.
 
  
−
We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.
+
==Research Scientist on Natural Language Processing==
  
−
We are smart, fun, and a little bit weird. Does this sound like you?  
+
* 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]
  
−
'''Job Description:'''
 
  
−
The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company.  Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.
+
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.
  
−
With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.
+
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.
  
−
We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
 
  
−
'''Minimum Qualifications:'''
+
==Postdoc Researcher on Vision and Language==
  
−
* Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
+
* Employer: University of Liverpool
−
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
+
* Title: Postdoc
−
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
+
* Specialty: Computer Vision with an interest in human vision/language behaviour
−
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
+
* Location: Liverpool UK
−
* Experience with SQL databases
+
* Deadline: April 20th, 2016
−
* Strong programming skills
+
* Date posted: March 28, 2016
−
* Experience identifying and correcting for problems in imperfect data
+
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]
−
* An ability and eagerness to constantly learn and teach others
 
  
−
'''Preferred Qualifications:'''
+
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.
−
* PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
 
−
* Ability to expand upon modern statistical learning methods
 
−
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
 
−
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
 
−
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
 
−
* Theoretical understanding sufficient to independently implement complex neural network architectures
 
  
−
'''Location:'''
+
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.
  
−
This posting is for a position in Civis’ Chicago headquarters.
 
  
−
'''Dates:'''
+
==Postdoc Positions at Johns Hopkins University==
  
−
We are hiring for multiple positions and will evaluate candidates as applications are received.
+
* Employer: Johns Hopkins University
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il.
 
−
Specific inquiries may be directed to Derrick Higgins: [mailto:dhiggins@civisanalytics.com dhiggins@civisanalytics.com].
 
−
 
 
−
 
 
−
== Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France ==
 
−
 
 
−
* Employer: Aix-Marseille University
 
 
* Title: Postdoc
 
* Title: Postdoc
−
* Specialty: Natural Language Processing
+
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
−
* Location: Luminy, Marseille, France
+
* Location: Baltimore, MD
−
* Deadline: July 1st, 2014
+
* Deadline: March 31, 2016
−
* Date Posted: June 12, 2014
+
* Date posted: March 1, 2016
 +
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]
  
−
'''Job Description:'''
+
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.
  
−
We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You
+
The center has a number of postdoctoral positions available for the coming year. Possible research topics include:
−
will contribute to conversation analysis summarization research to
+
* Trend Detection in Social Media
−
allow the exploitation of large quantity of comments in social
+
* Broadly Multilingual Learning of Morphology
−
media and spoken conversations.
+
* Stochastic approximation algorithms for subspace and multi-view representation learning
 +
* Analysis of large-scale time series data in healthcare
  
−
You will contribute to the design and development of speech and text
+
Host faculty include:
−
summarization technologies for conversational data such as social
+
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria
−
media comments and tweets. There will be three components to the
 
−
system: linguistic analysis of the conversations, content selection
 
−
and aggregation, and generation of the summaries (text or other
 
−
media). The approach is expected to make use of recent machine
 
−
learning advances such as deep learning, and focus on limiting the
 
−
quantity of supervision needed. The prototype will be evaluated by
 
−
end-user professionals in ecological conditions.
 
  
−
'''Qualifications:'''
 
  
−
The applicant must hold a PhD degree, preferably in the field of
+
==Associate/Full Professor in Computational Linguistics at Stony Brook University==
−
natural language processing or machine learning. He/she should:
+
* Employer: Department of Linguistics, Stony Brook University
−
* Be proficient in one of Java / C++ programming and python or php scripting
+
* Title: Associate/Full Professor
−
* Have experience with developing efficient NLP / machine learning systems.
+
* Specialty: Computational Linguistics
−
* Be keen on researching the literature and writing papers
+
* Location: New York, USA
−
* Enjoy team work and be autonomous
+
* 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]
  
−
'''Location:'''
+
'''Job Description'''
  
−
You will work at the LIF computer science lab at Aix-Marseille
+
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.
−
University in France, at the Luminy campus next to the
 
−
calanques.
 
  
−
'''Dates:'''
+
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.
  
−
Interviews will be held in July 2014, the Postdoc will start in
+
They will also be expected to
−
september / october 2014 and last one year.
 
  
−
'''How to Apply:'''
+
* 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.
  
−
Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr
+
Salary will be commensurate with education and experience.
  
−
== Executive Director / CLARIN ERIC / Utrecht University, the Netherlands ==
+
'''Application'''
  
−
* Employer: CLARIN ERIC through Utrecht University
+
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]
−
* Title: Executive Director
 
−
* Specialty: Research Infrastructures
 
−
* Location: Utrecht University, the Netherlands
 
−
* Deadline: August 15, 2014
 
−
* Date Posted: June 10, 2014
 
  
−
'''Job Description:'''
 
  
−
CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.
+
==Research Scientist at the Allen Institute for Artificial Intelligence==
−
 
 
−
As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.
 
−
 
 
−
The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.
 
−
 
 
−
'''Responsibilities:'''
 
−
 
 
−
* Leading the Board of Directors of the CLARIN ERIC
 
−
* Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
 
−
* Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
 
−
* Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
 
−
* Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
 
−
* Leading the international fundraising efforts for CLARIN
 
−
* Monitoring and measuring CLARIN’s activities and reporting to General Assembly
 
−
* Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
 
−
* Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
 
−
* Planning, organizing, and managing the main office in Utrecht, which includes recruitment
 
−
* Facilitating and supporting the operation of CLARIN’s governance bodies
 
−
 
 
−
'''Qualifications:'''
 
−
 
 
−
* A higher university degree or equivalent qualifications and an international interdisciplinary network
 
−
* Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
 
−
* An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
 
−
* Excellent communicative skills
 
−
* A proven fundraising record
 
−
* A record of relevant academic excellence
 
−
* The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies
 
−
 
 
−
'''How to Apply'''
 
−
 
 
−
For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director
 
−
 
 
−
 
 
−
== Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California ==
 
−
 
 
−
* Employer: Bosch Research & Technology Center
 
−
* Title: Research Scientist in Natural Language Technologies (PhD)
 
−
* Specialty: Natural Language Processing
 
−
* Location: Palo Alto, California, United States, 94304
 
−
* Deadline: Until filled
 
−
* Date Posted: May 19, 2014
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers.  We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.
 
−
 
 
−
To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.
 
−
 
 
−
'''Responsibilities:'''
 
−
 
 
−
* Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
 
−
* Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
 
−
* Communicate with business departments about the technology potentials as well as identify potential areas of business values.
 
−
 
 
−
 
 
−
'''Qualifications:'''
 
−
 
 
−
* Ph.D. in Computer Science or related fields
 
−
* Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
 
−
* Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
 
−
* Strong skills in coding (C/C++ or Java), algorithms and system design
 
−
* Very good communication skill together with good quality publication
 
−
* Experience in text summarization research and development is a plus
 
−
* Experience in large system development and speech technology is a plus
 
−
 
 
−
 
 
−
'''How to Apply'''
 
−
 
 
−
For more information, and to apply online, please visit http://bit.ly/1k8UZ57
 
−
 
 
−
 
 
−
 
 
−
== Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL ==
 
−
 
 
−
* Employer: Toyota Technological Institute at Chicago
 
−
* Title: Post-doctoral scholar
 
−
* Specialty: Machine learning, NLP, computer vision, speech
 
−
* Location: Chicago, IL, United States, 60637
 
−
* Deadline: Until filled
 
−
* Date Posted: May 12, 2014
 
  
 +
* 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'''
 
'''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.
  
−
Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.
+
'''Position Summary'''
  
 +
AI2 currently has projects in the following areas:
  
−
The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.
+
* 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…. 
  
−
The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan.  The position will remain open until filled.
+
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'''
  
−
'''Responsibilities'''
+
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 goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.
+
'''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:
  
−
Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.
+
* 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'''
  
−
'''Qualifications'''
+
Visit our website for more information: http://allenai.org/jobs.html
  
−
Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field.  There are no citizenship requirements.
 
  
 +
==Software Engineer  - Machine Learning / NLP (Chinese) at SYSTRAN==
  
−
'''How to Apply'''
+
* 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
  
−
Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:
+
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.
  
−
* brief cover letter, describing your interest in and qualifications for the position
+
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.
−
* curriculum vitae including publication list
 
−
* contact information for two or more researchers who can provide letters of reference
 
  
−
Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.
+
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.
  
−
== Postdoctoral Fellow / INRIA / Saclay ==
+
'''Key Qualifications'''
−
* Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
+
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
−
* Title: PostDoc (12 months)
+
* Good algorithmic knowledge of machine learning
−
* Specialty: Natural Language Processing
+
* Experience writing and debugging software
−
* Location: Palaiseau, Ile-de-France, France
+
* Strong communications skills
−
* Deadline: June 30, 2014
+
* Ability to work well as part of a team
−
* Date Posted: May 6, 2014
+
* 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
  
−
'''Job Description'''
+
'''Benefits'''
 +
* Successful candidates will be offered a competitive salary based on their qualifications and experience.
  
−
The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.
 
  
−
'''Duties'''
+
==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==
  
−
Reporting to the Dr. Gregory Grefenstette, your
+
* Employer: University of Dundee
−
typical duties will include the following:  
+
* 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)
  
−
* Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
+
£34,576 to £55,389 Full Time, Permanent
−
* Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
 
−
* Discover and adapt existing open data taxonomies to the platform;
 
−
* Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources
 
  
 +
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.
  
−
'''Required Qualifications'''
+
For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.
  
−
The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer
+
'''Summary of Job Purpose and Principal Duties'''
−
science, computational linguistics or a related discipline.
 
−
* Experience with natural language processing (e.g., Stanford Parser)
 
−
* Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
 
−
* Experience with classification algorithms
 
−
* Familiarity with dealing with large, noisy data sets
 
−
* Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
 
−
* Desire to produce functioning end-to-end systems, life-scale live demos
 
−
* Scientific rigour
 
−
* Imagination
 
  
−
'''How to Apply'''
+
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.
  
−
Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242
+
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.
  
−
Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.
+
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.
  
−
'''About Us'''
+
'''Job Summary'''
  
−
Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..
+
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:
  
−
For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014
+
* 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.
  
−
== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
+
'''Application Requirements'''
−
* Employer: University of British Columbia and BC Cancer Agency
 
−
* Title: PostDoc
 
−
* Specialty: Natural Language Processing, Machine Learning
 
−
* Location: Vancouver, British Columbia, Canada
 
−
* Deadline: Until filled
 
−
* Date Posted: March 26, 2014
 
  
−
'''Job Description'''
+
In addition to the online form, applicants must include with their application:
  
−
The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics
+
* Cover letter outlining fit to role.
−
Technology Lab to conduct scientific research in the areas of bioinformatics and
+
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
−
genomics, specifically related to automated analysis and annotation of cancer
+
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.
−
research literature.  
 
  
−
The successful applicant will work with trainees and research scientists in a team
 
−
that develops tools for a clinical genomics pipeline based on primary sequence
 
−
analysis, to build natural language processing and machine learning tools that
 
−
interpret identified mutations for their biological significance as they relate
 
−
to reports in the relevant literature.
 
  
−
'''Duties'''
+
==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)
  
−
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
+
'''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.
−
typical duties will include the following:
 
  
−
* Building natural language processing and machine learning tools for automated literature survey
+
'''Supervisor''': Sunny Khemlani, PhD
−
* Analysis and annotation of data from genomics studies as they relate to the literature
 
−
* Collaborating with biologists and clinical researchers on the accuracy of the results
 
−
* Reporting research methods and results in meetings, seminars and conferences
 
−
* Contribution to and leading scientific publications and research proposals
 
  
−
'''Required Qualifications'''
+
'''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.
  
−
The ideal candidate should possess a PhD degree and recent proven experience in computer
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.
−
science, electrical engineering or a related discipline. A strong publication record in
 
−
the field, and demonstrated technical writing skills are highly desirable. Prior research
 
−
experience in bioinformatics is also desirable, but not required.
 
  
−
More experienced candidates will be considered for a Staff Scientist position, pending
+
'''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.
−
successful funding.
 
  
−
'''How to Apply'''
+
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.
  
−
Please send your resume with cover letter to bcgscjobs@bcgsc.ca
 
−
We request that you specify the position you are applying for by identifying the Job Code
 
−
only ("PDFBTL 14-03-27") in the subject line of your emailed application.
 
  
−
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
+
==Internship positions available at Juji, Inc.==
−
residents will be given priority.  
+
* Employer: Juji, Inc.
 +
* Title: Intern
 +
* Location: Saratoga, CA
 +
* Deadline: open until all the positions are filled
 +
* Date Posted: January 14, 2016
  
−
'''About Us'''
+
'''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. 
  
−
Genome Sciences Centre is a leading international institution for genomics and bioinformatics
+
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.
−
research. Our mandate is to advance knowledge about cancer and other diseases, to improve human
 
−
health through disease prevention, diagnosis and therapeutic approaches, and to realize the
 
−
social and economic benefits of genomics research.  
 
  
−
For more information, please visit www.bcgsc.ca
+
We have multiple positions on two main tracks:
  
−
== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
+
* 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.
−
* Employer: University of Massachusetts Medical School
 
−
* Title: PostDoc
 
−
* Specialty: Natural Language Processing, Machine Learning
 
−
* Location: Worcester, Massachusetts, United States, 01605
 
−
* Deadline: Until filled
 
−
* Date Posted: March 26, 2014
 
−
 
 
−
 
 
−
'''Job Description'''
 
−
 
 
−
We are seeking 1~2 highly motivated postdoctoral research associate to
 
−
join the Biomedical Natural Language Processing (BioNLP) group at
 
−
UMass Medical School and UMass Amherst. This position will primarily
 
−
be located at the UMass Medical School in Worcester, MA. The BioNLP
 
−
group is actively pursuing many exciting projects including:
 
−
information retrieval, information extraction, summarization, question
 
−
answering, data mining, and patient-centered research. A highly
 
−
productive candidate may transition to a faculty position.
 
−
 
 
−
 
 
−
'''Responsibilities'''
 
−
 
 
−
The successful candidates will help investigate new algorithms to
 
−
support our current research thrusts. This will require extensive
 
−
experience with data mining (DM) and natural language processing (NLP).
 
  
 +
* 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'''
 
'''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.
  
−
Candidates for this position should have a PhD in Computer Science or
+
'''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.  
−
related field and a significant research record including
+
−
publications in top conferences and journals in:
 
−
 
 
−
* Natural Language Processing
 
−
* Machine Learning
 
−
* Data Mining or Data Analysis
 
−
 
 
−
Proficiency in quantitative analytical methods and strong programming
 
−
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
 
−
extensive research experience in hands-on machine learning (ML) and
 
−
data mining (DM), is essential. Additional experience in
 
−
bioinformatics or figure search and analysis is desirable.
 
−
 
 
−
Successful applicants will join a vibrant collaborative research
 
−
environment, will work closely with clinical investigators and senior
 
−
personnel in the lab, and should have the ability to work effectively
 
−
both independently and as part of a multidisciplinary team. The
 
−
position will be for one year, renewable annually, starting Summer or Fall 2014.
 
−
 
 
−
 
 
−
'''How to Apply'''
 
−
 
 
−
Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
 
−
include a brief letter of introduction, a CV including list of
 
−
publications in PDF format, and names and email addresses of 2-3 referees.
 
−
 
 
  
−
'''Background'''
 
  
−
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
+
==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
−
Competitive Salary based on experience.
+
* Title: Postdoctoral Research Fellow
−
 
+
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
−
== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==
+
* Location: Boston, MA
−
 
 
−
* Employer: Educational Testing Service
 
−
* Title: Research Director NLP and Speech Processing
 
−
* Specialty: Natural Language Processing / Speech Processing
 
−
* Location: Princeton, New Jersey, United States, 08541
 
−
* Deadline: Until filled
 
−
* Date Posted: March 12, 2014
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
ETS (Educational Testing Service), is headquartered in Princeton, NJ. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.
 
−
 
 
−
Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.
 
−
 
 
−
Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.
 
−
 
 
−
In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.
 
−
 
 
−
Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.
 
−
 
 
−
'''Requirements:'''
 
−
 
 
−
To qualify, you must possess:
 
−
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
 
−
* Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
 
−
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
 
−
 
 
−
'''Information about the institute:'''
 
−
 
 
−
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.
 
−
 
 
−
With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer
 
−
 
 
−
== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==
 
−
 
 
−
* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
 
−
* Title: Research Intern
 
−
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
 
−
* Location: Darmstadt/Frankfurt am Main, Germany
 
−
* Deadline: Until filled
 
−
* Date Posted: January 20, 2014
 
−
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
 
−
 
 
−
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
 
−
 
 
−
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)
 
−
 
 
−
The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.
 
−
 
 
−
The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.
 
−
 
 
−
'''Requirements:'''
 
−
 
 
−
We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.
 
−
 
 
−
We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.
 
−
 
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.
 
−
 
 
−
 
 
−
'''Information about the institute:'''
 
−
 
 
−
The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.
 
−
 
 
−
 
 
−
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
 
−
 
 
−
* Employer: The German Institute for International Educational Research (DIPF)
 
−
* Title: Research Scientist
 
−
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
 
−
* Location: Frankfurt am Main, Germany
 
−
* Deadline: February 14, 2014
 
−
* Date Posted: January 13, 2014
 
−
* Contact email: gurevych (at) dipf (dot) de
 
−
 
 
−
'''Information about the institute:'''
 
−
 
 
−
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 
−
 
 
−
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.
 
−
 
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an
 
−
 
 
−
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
 
−
 
 
−
The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in  textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).
 
−
 
 
−
The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.
 
−
 
 
−
The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for  the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).
 
−
 
 
−
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
 
−
 
 
−
Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 
−
 
 
−
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 
−
 
 
−
'''Requirements:'''
 
−
 
 
−
* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
 
−
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
 
−
* Very good English language skills (written and spoken) and at least basic knowledge of German;
 
−
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;
 
−
 
 
−
Experience in automated language processing, text mining or digital humanities is preferred.
 
−
 
 
−
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 
−
 
 
−
 
 
−
'''How to apply:'''
 
−
 
 
−
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 
−
 
 
−
 
 
−
 
 
−
== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
 
−
 
 
−
* Employer: The German Institute for International Educational Research (DIPF)
 
−
* Title: Research Scientist
 
−
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
 
−
* Location: Frankfurt am Main, Germany
 
−
* Deadline: February 14, 2014
 
−
* Date Posted: January 13, 2014
 
−
* Contact email: gurevych (at) dipf (dot) de
 
−
 
 
−
'''Information about the institute:'''
 
−
 
 
−
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 
−
 
 
−
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
 
−
 
 
−
* Research Scientist (two-year contract, full time, EG13 TV-H*)
 
−
 
 
−
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
 
−
 
 
−
 
 
−
The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013  at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education.  The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.
 
−
 
 
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The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.
 
−
 
 
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The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
 
−
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management. 
 
−
 
 
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A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 
−
 
 
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* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 
−
 
 
−
 
 
−
'''Requirements:'''
 
−
 
 
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- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
 
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- Very good English language skills (written and spoken) and at least basic skills in German;
 
−
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
 
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- Experience in coordinating distributed software development and its Integration;
 
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- Experience in conceptualising and conducting events for scientists, users, and the public.
 
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- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.
 
−
 
 
−
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
 
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−
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 
−
 
 
−
 
 
−
'''How to apply:'''
 
−
 
 
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Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 
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−
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
 
−
 
 
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* Employer: Institute of Information Science, Academia Sinica
 
−
* Rank or Title: Assistant/Associate/Full Research Fellow
 
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* Specialty: Chinese Natural Language Processing and Knowledge Representation
 
−
* Location: Taipei, Taiwan
 
 
* Deadline: Open until filled
 
* Deadline: Open until filled
−
* Date Posted: January 7, 2014
+
* Date Posted: January 8, 2016
−
* Contact email: recruit@iis.sinica.edu.tw
+
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
−
 
 
−
'''Job Description:'''
 
−
 
 
−
The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.
 
−
 
 
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Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.
 
−
 
 
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Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.
 
−
 
 
−
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
 
−
 
 
−
'''Required Qualifications:'''
 
−
 
 
−
All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.
 
−
 
 
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Fluency in Chinese is an advantage, but not required.
 
−
 
 
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'''How to Apply:'''
 
−
 
 
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All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
 
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Dr. Wen-Lian Hsu, Director
 
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Institute of Information Science
 
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Academia Sinica
 
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Nankang 115, Taipei, Taiwan
 
−
 
 
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TEL: 886-2-2788-3799ext.1804
 
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FAX:886-2-2782-4814
 
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−
E-mail: recruit@iis.sinica.edu.tw
 
−
 
 
−
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
 
−
 
 
−
* Employer: Johns Hopkins University
 
−
* Rank or Title: Postdoctoral Fellow
 
−
* Specialty: Computational Linguistics/Cognitive Science
 
−
* Location: Baltimore, MD, USA
 
−
* Deadline: February 17, 2014 or until filled
 
−
* Date Posted: January 7, 2014
 
−
* Contact email: INSPIREpostdoc@jhu.edu
 
−
 
 
−
'''Brief Job Description:'''
 
−
 
 
−
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.
 
−
 
 
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The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.
 
−
 
 
−
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
 
−
 
 
−
'''Detailed Job Description:'''
 
−
 
 
−
The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.
 
−
 
 
−
The ideal appointee will conduct development and extensive testing of:
 
−
 
 
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* general-purpose software to support symbolic-level computation over gradient symbol structures
 
−
 
 
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* general-purpose software for simulating neural network implementations of this gradient symbolic computation
 
  
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* new machine-learning algorithms, including deep compositional networks
+
'''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.
  
−
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
+
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
  
−
* new psycholinguistic models of human syntactic production and comprehension processes
+
'''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.
  
−
Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.  
+
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
  
−
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
  
−
'''How to Apply:'''
+
'''Available''': Immediately.
  
−
Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.  
+
'''Compensation''': according to NIH (NRSA) stipend levels.
  
−
Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

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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