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== Postdoctoral Fellow Machine Reading, KU Leuven, Belgium==
 
  
Employer: Katholieke Universiteit Leuven, Belgium  http://www.kuleuven.be/
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== Computational Linguist-Morphology ==
* Rank or Title: Postdoctoral fellow
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* Specialty: Natural language processing and machine learning
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* Location: Leuven, Belgium
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* Deadline: July 5, 2013
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* Date Posted: June 9, 2013
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* Contact email: Sien.Moens@cs.kuleuven.be
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+
Position
+
  
Applications are invited for the position of a postdoctoral research fellow specialized in natural language processing and machine learning to join the Language Intelligence and Information Retrieval group of Prof. Marie-Francine Moens at the Department of Computer Science at KU Leuven, Belgium.
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* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US
The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The MUSE project introduces a new way of exploring and understanding information by “bringing text to life” through 3D interactive storytelling. Taking as input natural language text like children’s stories or medical patient education materials, MUSE will process the natural language, translate it into formal knowledge that represents the actions, actors, plots and surrounding world, and then render these as virtual 3D worlds in which the user can explore the text through interaction, re-enactment and guided game play. The focus of the postdoctoral research at KU Leuven will be on semi-supervised and unsupervised models for machine reading (MR) when translating the content of text to knowledge representations. A possible additional focus is on scalable inference and learning. The position ideally starts September 1, 2013. Funding for this position is currently available for 2 years.  
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* Title: Computational Linguist-Morphology
 +
* Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.
 +
* Location: Various US Locations
 +
* Deadline: Open
 +
* Date posted: June 19, 2016
 +
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]
  
Requirements
 
  
Applicants have a PhD degree in computer science or related areas, and a strong background in NLP and machine learning.  Research experience is desirable in one or more of the following fields: information extraction, semi- and unsupervised parsing, graphical models, structured learning, language modeling, and related domains. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.
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EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.
  
Information
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The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.
  
For more information contact Marie-Francine Moens, tel.: +3216325383, mail: sien.moens@cs.kuleuven.be.
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''Qualifications''
You can apply for the postdoctoral position by sending your CV and publication list to: sien.moens@cs.kuleuven.be.
+
  
== Research Scientist Positions, NLP and Speech ==
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*A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.
  
Employer: Educational Testing Service http://www.ets.org/
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*Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.
* Rank or Title: Research Scientist
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* Specialty: Natural Language Processing
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* Location: Princeton, NJ or San Francisco, CA
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* Deadline: Until position is filled
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* Date Posted: 22 May 2013
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* Contact email: dyanchuk@ets.org
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+
  
Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education, and government, we are determined to advance educational excellence for the communities we serve.
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*Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.
  
 +
*Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.
  
ETS Research & Development has openings for Research Scientists at all levels in Natural Language Processing and Speech Group. The ongoing projects in this group focus on natural language processing for topics including automated evaluation of writing and speaking assessments. ETS aims to expand these current research directions, as well as pursuing groundbreaking research in new areas:
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*Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.
* The incoporation of interactive tasks into assessment environments, using technologies for dialog management and analysis.
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* The automated induction of rhetorical structures from student responses, including argumentation strategies, narrative organization, and topical analyses.
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* Automated analysis of process data related to student performance on immersive assessment tasks (such as in a game-based environment).
+
  
 +
''Applicants must be United States citizens able to acquire a personal security clearance.''
  
This is an excellent opportunity to be a part of a research and development team and have a significant impact on existing and next generation assessments.
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For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".
  
 +
== Computational Linguist ==
  
'''PRIMARY RESPONSIBILITIES'''
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* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US
 +
* Title: Computational Linguist
 +
* Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.
 +
* Location: Various US Locations
 +
* Deadline: Open
 +
* Date posted: June 19, 2016
 +
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]
  
  
• Pursue or collaborate in interdisciplinary projects, transferring techniques to a new context or connecting scientific fields that are usually separate. Successful candidates are self-motivated and self-driven, and have a strong interest in emerging technology that can contribute to education in assessment and instructional settings.
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EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.
  
• Provide scientific and technical skills to conceptualize, design, obtain support for, conduct, and manage new research projects, grants, or parts of existing projects.
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The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results.  
  
• Generate or contribute to new or modified methods that support research and development in the automated analysis of student responses as well as other written or spoken materials relevant in assessment and instructional settings.
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''Qualifications''
  
• Design and conduct scientific studies, functioning as an expert in the major facets of the projects; respond as a subject matter expert in presenting the results of acquired knowledge and experience.  Consult and collaborate on problems arising from research and/or testing programs, or corporate management concerns.
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*MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree).  
  
• Develop or assist in developing proposals for external and internal research grants and obtain financial support for new or continuing research activities.  Prepare initial and final proposal and project budgets.
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*Within the last 10 years shall have a minimum of 7 years experience each programming:  C, C++, or Java.
  
• Participate in dissemination activities through the publications of research papers in peer-reviewed journals and in the ETS Research Report series, the issuing of progress and technical reports, the presentation of seminars at major conferences and at ETS, or the use of other appropriate communication vehicles, including books and chapters, that impact practice in the field or at ETS.
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*Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).
  
• Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
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*Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications.  
  
• Consult on ETS projects or external contracts that related to the research focus of the group.
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*A minimum of 5 years experience with two or more foreign languages is required.  
+
  
'''Required Experience:'''
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*Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.
  
 +
''Applicants must be United States citizens able to acquire a personal security clearance.''
  
'''REQUIREMENTS FOR A JUNIOR LEVEL POSITION'''
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For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".
  
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member.
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== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==
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* Employer: [http://www.sheffield.ac.uk/ University of Sheffield], UK
 +
* Title: Research Associate/Fellow
 +
* Specialty: ML
 +
* Location: Sheffield
 +
* Deadline: July 18, 2016
 +
* Date posted: June 17, 2016
 +
* Contact: [mailto:l.specia@sheffield.ac.uk Prof. Lucia Specia]
  
'''REQUIREMENTS FOR A MID-LEVEL POSITION'''
 
  
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Three years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.
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We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.
  
'''REQUIREMENTS FOR A SENIOR-LEVEL POSITION'''
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This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.
  
A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Eight years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.
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This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.
  
 +
This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):
  
About the Center for Assessment Innovation: The NLP and Speech Group focuses on  automated scoring of text and speech, support for technologically-enhanced assessment methods, and the application of NLP and speech technology to educational problems generally. The group builds partnerships and collaborations with other institutions. External grants are pursued, and internally-funded fundamental research and capability development is also supported.
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* PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas
 +
* Significant experience and track record in Machine Learning (RA and RF)
 +
* Strong publication record commensurate with career stage (RA and RF)
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* Experience and strong track record in Computer Vision (desirable for RA, required for RF)
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* Experience and strong track record in Natural Language Processing (desirable for both RA and RF)
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* Strong programming experience, particularly in Python or C++. (RA and RF)
  
 +
This post is fixed-term with a start date from August 2016 (or soon after) and duration of ''3 years'' with possibility of extension to ''5 years''.
  
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
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'''Salary range''': £28,847 to £46,414 per annum.
  
== Research Assistant Positions, NLP ==
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For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk
  
Employer: Educational Testing Service http://www.ets.org/
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For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018
* Rank or Title: Research Assistant
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* Specialty: Natural Language Processing
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* Location: Princeton, NJ
+
* Deadline: Until position is filled
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* Date Posted: 22 May 2013
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* Contact email: dyanchuk@ets.org
+
  
  
ETS Research & Development has an opening for a Research Assistant in the Natural Language Processing Group. A primary focus of the area is to contribute to externally-funded projects as well as provide service to the program areas of ETS, including new applications of automated scoring technologies. The successful candidate will contribute to internal projects aimed at developing assessment and automated scoring innovations. The successful candidate will also contribute to external projects aimed at developing methodologies to support natural language processing technologies.
 
  
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== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
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* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Doctoral researcher
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* Specialty: NLP
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* Location: Darmstadt
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* Deadline: July 10, 2016
 +
* Date posted: June 10, 2016
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* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]
  
 +
KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a '''Doctoral Researcher''' to start on 1 October 2016.
  
'''Project Management/Leadership'''
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KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities.  Their disruption can trigger dramatic crises.  Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence.  Our aim is to understand and describe these complex systems in their spatial and temporal contexts.  This is done in three main research areas:
  
Complete Linguistic annotations of text, develop and apply scoring schemes to short answer responses, assist research scientitsts in constructing models and documenting procedures.
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# We want to ensure that technical infrastructures are constructed with the term "critical" in mind.  We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.
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# We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises.  We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.
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# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").
  
Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).
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Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities:  space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.
  
Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.
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In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.
  
Schedule services with other ETS departments, staff and vendors.
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Possible dissertation topics include:
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* Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media
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* Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)
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* Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media
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* User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries
  
Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.
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For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].
  
Research Design, Data Collection and Analysis
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'''Requirements:'''  The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities.  This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt.  Further information on KRITIS's scientific program and its participating professors will be available soon on the following website:  [http://www.kritis.tu-darmstadt.de http://www.kritis.tu-darmstadt.de]
  
Assist in developing and refining research instruments.
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It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures.  To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.
  
Assist in developing procedures for data collection. Edit and proof coding systems and manuals.
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'''Working environment and conditions:'''  KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors.  Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities.  We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.
  
Administer research instruments such as assessments, surveys, observations, and interviews.
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Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt).  The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.
  
Instruct support staff on procedures for data collection, data entry and check work.
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'''Your application:'''  TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply.  All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference.  Please prepare your application in English or German, and compressed as a single file (up to 6 MB).  Applications should be sent by e-mail to Prof. Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by '''10 July 2016'''.  The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.
  
Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.
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We look forward to receiving your application!
  
Perform basic data analyses; Compile simple results.
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== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==
  
Prepare charts, tables, figures, and graphics for reports and presentations.
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* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany
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* Title: Doctoral researcher
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* Specialty: NLP
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* Location: Darmstadt and/or Heidelberg, Germany
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* Deadline: June 30, 2016
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* Date posted: June 6, 2016
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* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
  
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The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: '''Doctoral Researcher in Natural Language Processing'''
  
'''Communication'''
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The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.
  
Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.
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The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES.  
  
Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.
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Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.  
  
Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.
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AIPHES emphasizes close contact between students and their advisors, has regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
  
Assist in developing presentations and present as part of a team.
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'''Prerequisites'''
  
Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.
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We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.  
  
Experience in using data analyses software.
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The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally.  
  
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Applications should include:
  
'''Required Experience:'''
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* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,
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* a CV with information about the applicant’s scientific work,
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* certifications of study and work experience,
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* as well as a thesis or other publications in electronic form.
  
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They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].
  
'''EDUCATION'''
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== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==
  
A Bachelor's degree in linguistics or a closely related field, with coursework in statistics or research methods, phonetics & phonology, syntax & semantics, and/or language acquisition is necessary.
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* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
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* Title: Full Professor
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* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP
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* Location: Darmstadt, Germany
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* Deadline: July 6, 2016
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* Date posted: June 1, 2016
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* Contact: [mailto:dekanat@informatik.tu-darmstadt.de dekanat@informatik.tu-darmstadt.de] (for applications); [mailto:gurevych@ukp.informatik.tu-darmstadt.de Iryna Gurevych] (for further information)
  
'''EXPERIENCE'''
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The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of '''Full Professor (W3) for Real-Time Data Analytics''' to be appointed as soon as possible.
  
Six months of research-related experience is necessary.
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We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect.  
  
Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.
+
Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning.  Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems.  Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.
  
 +
We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners.  The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also '''natural language processing''', cognitive science, and cybersecurity.
  
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
+
In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.
  
 +
Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.
  
 +
Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary.  Applicants who are already professors classed as German civil servants (''Beamter'') can retain this status.  Employment regulations from §§61 and 62 of the ''Hessisches Hochschulgesetz'' apply.
  
== Senior Research Scientist - Xerox Research Centre Europe ==
+
Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).
  
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
+
Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de.  Please quote '''reference No. 244'''.
* Rank or Title: Senior Research Scientist
+
* Specialty: Statistical Natural Language Processing, Machine Learning
+
* Location: Grenoble, France
+
* Deadline: 31 July 2013 or until position is filled
+
* Date Posted: 2 May 2013
+
* Contact email: James.Henderson@xrce.xerox.com
+
  
'''Position Description'''
+
For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de
  
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning for NLP.  The ideal candidate would have experience or knowledge of parsing, information extraction, weak supervision, textual entailment, and combining machine learning with expert knowledge.  Awareness of the healthcare domain is a plus.  The applicant should have a strong publication record and good coding skills.  The seniority of the appointment will depend on qualifications.
+
==NLP Postdoctoral Researcher at UNSW, Australia==
  
The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact.  Senior researchers are expected to also lead research projects. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.  
+
* 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)
  
The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis.  The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning.  We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance.  The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group.  We are also interested in applying research results to practical applications and real-world problems.  Our general application focus is on converting unstructured text into structured information, including facts and opinions.  The solutions we develop play a key role in Xerox's next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.
+
'''POSITION DESCRIPTION'''
  
XRCE is located in Grenoble, France, in the heart of the French Alps.  Grenoble offers an excellent quality of life and a large scientific community.  For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Senior-Research-Scientist-in-Statistical-Natural-Language-Processing.
+
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.
  
'''Requirements'''
 
  
* PhD in Computer Science or Computational Linguistics
+
'''POSITION REQUIREMENTS'''
* NLP knowledge and experience
+
* Machine learning knowledge or experience
+
* Strong publication record
+
* Programming skills
+
* Strong written and oral communications skills in English
+
  
'''Application instructions '''
+
Essential criteria:
  
Applications will be considered as they are received. To ensure that an application receives full consideration it should be submitted by '''July 31, 2013'''. Applications will be considered beyond this date until the position is filled.
+
* 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.
  
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
 
  
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.
+
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
  
== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==
 
  
* Employer: Qatar Computing Research Institute (http://www.qcri.qa)
+
'''SALARY RANGE AND CONTRACT LENGTH'''
* Rank or Title: Intern/Research associate/Research assistant
+
* Specialty: Information retrieval, text mining, natural language processing
+
* Location: Doha, Qatar
+
* Deadline: May 31, 2013
+
* Date Posted: March 15, 2013
+
* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa
+
  
'''POSITION DESCRIPTION'''
+
* 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 NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.
+
This is a fixed term position of one year with further renewal up to January 2019, subject to funding.
 +
  
'''INTERNSHIP TASKS INCLUDE'''
+
'''ENVIRONMENT'''
* Development of effective techniques for information filtering from social media
+
* Diversity analysis, categorization, and summarization of search results
+
* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search
+
* Web design/development of visualization schemes for social search results
+
* Conducting project-related research work supervised by scientists in the team
+
  
'''EXPECTED APPLICANTS SHOULD BE/HAVE'''
+
The School of Computer Science and Engineering in UNSW, located in Sydney, is
* PhD/Master students in computer science or related field
+
one of the largest and leading computing schools in Australia. It offers both
* At least 1-year research experience
+
undergraduate and postgraduate programs in Software Engineering, Computer
* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.
+
Engineering, Computer Science and Bioinformatics, as well as a number of
* Background in social network analysis and/or natural language processing is a plus
+
combined degrees with other disciplines. It attracts excellent students who have
* Basic knowledge of Arabic language can help but is not mandatory
+
an outstanding record in international competitions (such as Robocup).
* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)
+
  
'''INTERNSHIP NATURE'''
 
  
Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents.
+
'''APPLICATION'''
  
Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.
+
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.
  
'''ABOUT QCRI'''
 
  
Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.
 
  
QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.
 
  
'''APPLICATION'''
 
  
Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now
 
  
For more information, please visit:
+
==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==
http://www.qcri.qa
+
http://qcri.qa/our-research/arabic-language-technologies
+
  
 +
* 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
  
== Postdoctoral fellow -- KU Leuven ==
+
'''Summary'''
  
* Employer: Department of Computer Science, KU Leuven, Belgium
+
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.
* Rank or Title: Postdoctoral fellow
+
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.  
* Specialty: Information extraction, natural language understanding, machine reading
+
* Location: Leuven, Belgium
+
* Deadline: Until position fills
+
* Date Posted: April 13, 2013
+
* Contact email: Sien.Moens@cs.kuleuven.be
+
  
'''Position description'''
+
The 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.
The Language Intelligence and Information Retrieval group, which is part of the Department of Computer Science at KU Leuven (http://www.cs.kuleuven.be/groups/liir/), has an open postdoctoral position for a motivated researcher with interest and expertise in information extraction from text. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and can show his or her expertise through several publications in major conferences or journals in the fields of computational linguistics, machine learning and/or artificial intelligence.
+
The position will be for two years starting in the Summer of 2013 or earlier. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.  
+
  
'''Application instructions '''
 
  
Please send your application to Marie-Francine Moens (Sien.Moens@cs.kuleuven.be).
+
Approximate Start Date: Summer 2016
  
  
'''Other considerations'''
+
'''How to Apply'''
  
Situated in the heart of Western Europe, KU Leuven has been a centre of learning for almost six centuries. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied research. It is strongly inter- and multidisciplinary in focus and strives for international excellence. To this end, KU Leuven works together actively with its research partners at home and abroad.
+
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.  
  
== Post-doctoral fellows -- University of Alberta ==
 
  
* Employer: Department of Computing Science, University of Alberta
 
* Rank or Title: Post-doctoral fellow
 
* Specialty: Information Extraction
 
* Location: Edmonton, AB, Canada
 
* Deadline: March 15 2013, but applications are accepted until positions are filled
 
* Date Posted: 26 February 2013
 
* Contact email: denilson@ualberta.ca
 
  
'''Position Description'''
 
  
The Department of Computing Science at the University of Alberta is seeking applicants for post-doctoral fellows to work on a project related to information extraction. The ideal candidates are recent PhDs in Computer Science with strong background in information retrieval, linked open data, natural language processing, and information extraction from the web. Other areas where expertise is desirable include graph data management, network analysis, data analytics, and the semantic web.
+
==Research Scientist, Natural Language Processing==
  
The projects will be conducted in the context of the NSERC Business Intelligence Network (http://bin.cs.utoronto.ca/), a collaborative research initiative involving several top Canadian Universities and key industrial partners IBM Canada, SAP Canada, and Palomino System Innovations Inc.  
+
* Employer: EMR.AI Inc.
 +
* Title: Research Scientist
 +
* Specialty: NLP
 +
* Location: San Francisco, CA
 +
* Deadline: May 20th, 2016
 +
* Date posted: April 21th, 2016
 +
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])
  
The fellows will work under the supervision of PI Denilson Barbosa, within a team of PhD and MSc students, and build on ongoing work in information extraction with applications in business and environmental data. These positions will require the development of practical prototypes and proof-of-concept systems, as well as dissemination of research results in top venues. As such, emphasis should be given on the application materials to hands-on experience with large-scale datasets.
+
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.
  
Qualified candidates must hold a PhD at the time of appointment. The stipend will be in accordance with NSERC standards (CAD$ 40,000 plus benefits), with the possibility of a 10-20% top-up depending on qualifications.
+
'''Summary'''
  
'''Application instructions '''
+
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.
  
To apply, send an updated CV, cover letter, and the names and official contact information (university or company email and phone number) of three references to Denilson Barbosa <denilson@ualberta.ca>.
+
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.
  
Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.
+
'''Responsibilities'''
  
'''Other Considerations'''
+
* 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.
  
The University of Alberta, one of Canada's largest research universities is situated in Edmonton, a metropolitan area of over one million people with a vibrant research community and an excellent standard of living. The Department of Computing Science at the University of Alberta is widely recognized as a leading CS department, both within Canada and worldwide.
+
'''Skills'''
  
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
+
PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.
  
The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.
+
'''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.
  
== Research Scientist - Xerox Research Centre Europe ==
+
'''How to Apply'''
  
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
+
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]
* Rank or Title: Research Scientist
+
* Specialty: Statistical Natural Language Processing
+
* Location: Grenoble, France
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: 14 February 2013
+
* Contact email: James.Henderson@xrce.xerox.com
+
  
'''Position Description'''
+
'''Contact'''
  
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning and/or information extraction (e.g. event extraction).  The ideal candidate would also have experience or knowledge of textual entailment, knowledge representation, and combining machine learning with expert knowledge.  The applicant should have good coding skills (e.g. Java programming), with the ability to develop research prototypes and pilots.
+
EMR.AI Inc.
  
The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.
+
90 New Montgomery St
  
The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems.  Our general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services.
+
San Francisco, CA 94105, USA
  
See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities
+
phone: +1-415-200-8535
  
'''Requirements'''
+
e-mail: [mailto:info@emr.ai info@emr.ai]
  
* PhD in Computer Science or Computational Linguistics
+
www: [http://emr.ai http://emr.ai]
* NLP knowledge and experience
+
* Knowledge or experience in machine learning or information extraction
+
* Object oriented programming skills (e.g. java)
+
* Strong written and oral communications skills in English
+
  
'''Application instructions '''
 
  
The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled.
 
  
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
+
==Research Scientist on Natural Language Processing==
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.
+
  
 +
* 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]
  
== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==
 
  
* Employer: CNGL, Dublin City University http://www.cngl.ie
+
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.
* Rank or Title: PhD, Post-Doc and Research Programmer
+
* Specialty:  Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics
+
* Location: Dublin, Ireland
+
* Deadline: February 25, 2013
+
* Date Posted: January 30, 2013
+
* Start Date: March, 2013
+
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
+
* Contact email: dgroves@computing.dcu.ie
+
  
'''For More Details'''
+
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.
  
http://www.cngl.ie/vacancies.html
 
  
'''Position Description'''
+
==Postdoc Researcher on Vision and Language==
  
CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.
+
* Employer: University of Liverpool
 +
* Title: Postdoc
 +
* Specialty: Computer Vision with an interest in human vision/language behaviour
 +
* Location: Liverpool UK
 +
* Deadline: April 20th, 2016
 +
* Date posted: March 28, 2016
 +
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]
  
CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize.  
+
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.
  
CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.
+
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.
  
The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.
 
  
DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.
+
==Postdoc Positions at Johns Hopkins University==
  
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
+
* Employer: Johns Hopkins University
 +
* Title: Postdoc
 +
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
 +
* Location: Baltimore, MD
 +
* Deadline: March 31, 2016
 +
* Date posted: March 1, 2016
 +
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]
  
'''PhD Studentships'''
+
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.
  
*Parsing, Analytics and Information Extraction:
+
The center has a number of postdoctoral positions available for the coming year. Possible research topics include:
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.
+
* Trend Detection in Social Media
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.
+
* Broadly Multilingual Learning of Morphology
*Information Retrieval:
+
* Stochastic approximation algorithms for subspace and multi-view representation learning
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications
+
* Analysis of large-scale time series data in healthcare
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources
+
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis
+
**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content
+
*Machine Translation:
+
**Syntax- and Semantics-Enhanced Machine Learning Based MT
+
**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
+
**Human interaction with MT output: Usability, Acceptability, Post-editing Research
+
**MT and Multimodal Interaction
+
**MT for Multimodal Cross Language Information Retrieval
+
  
'''Post-Doctoral Positions'''
+
Host faculty include:
 +
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria
  
*Parsing, Analytics and Information Extraction:
 
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
 
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
 
*Machine Translation:
 
**User/Human Centric MT (up to 2.5 year contract)
 
  
'''Post-Doctoral Positions'''
+
==Associate/Full Professor in Computational Linguistics at Stony Brook University==
 +
* Employer: Department of Linguistics, Stony Brook University
 +
* Title: Associate/Full Professor
 +
* Specialty: Computational Linguistics
 +
* Location: New York, USA
 +
* Deadline: <strike>March 14, 2016</strike> May 1, 2016
 +
* Date posted: February 17, 2015
 +
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]
 +
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]
  
*Research Programmer (up to 2.5 year contract)
+
'''Job Description'''
  
For more information please see: http://www.cngl.ie/vacancies.html
+
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.
  
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
+
They will also be expected to
  
* Employer: Nara Insititute of Science and Technology
+
* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,
http://www.naist.jp/en/
+
* 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,
* Rank or Title: Assistant Professor
+
* Strengthen the department's connections with the local IT industry.
* Specialty:  Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
+
* Location: Nara, Japan
+
* Deadline: February 28, 2013
+
* Date Posted: January 30, 2013
+
* Start Date: after April, 2013
+
* Duration: 5 years (reappointment is possible)
+
* Contact email: matsu@is.naist.jp
+
  
'''For Detailed Description'''
+
Salary will be commensurate with education and experience.
  
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
+
'''Application'''
  
 +
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]
  
==Researchers - AT&T Labs Research==
 
  
* Employer: AT&T Labs - Research
+
==Research Scientist at the Allen Institute for Artificial Intelligence==
* Rank or Title: Researchers and Research Software Engineers
+
* Specialty: Natural Language Processing, Speech Processing, Machine Learning
+
* Location: NJ
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: 8 January 2013
+
* Contact email: vkumar@research.att.com
+
  
'''Position Description'''
+
* 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
  
AT&T Research, one of the premier industrial research laboratories in the world, is looking for
+
'''Job Description'''
talented individuals to make a difference in the world of communicationsOur researchers and
+
research software engineers are dedicated to solving real problems in speech and language
+
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren EtzioniThe 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.  
processing, and are involved in inventing, creating and deploying innovative services. We also
+
explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at  
+
all levels of experience are encouraged to apply.  Candidates must demonstrate excellence in
+
research, a collaborative spirit and strong communication and software skills.  
+
  
Areas of particular interest are
+
'''Position Summary'''
  
    * Large-vocabulary automatic speech recognition
+
AI2 currently has projects in the following areas:
    * Acoustic and language modeling
+
    * Robust speech recognition
+
    * Signal processing
+
    * Text-to-speech synthesis
+
    * Natural language understanding and dialog
+
    * Machine translation (speech and text)
+
    * Speaker biometrics
+
    * Voice and multimodal search
+
    * Software engineering for speech and language processing
+
  
Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).
+
* 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
  
Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates
+
And more….   
are encouraged to apply.  Interviews will be conducted in early 2013For more information,
+
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:
+
  
http://www.research.att.com/evergreen/working_with_us/careers.html
+
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.  
  
Candidates must demonstrate a proven research track record and the ability to identify technical
+
'''Applicant'''
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
+
are desired. Access to massive amounts of real-world data, the ability to work with internal and external
+
collaborators across departments, the possibility of making an impact by developing solutions that will be used
+
by millions, and the freedom to publish your results are some of the reasons AT&T Labs -
+
Research is an exciting place to work.
+
  
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
+
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'''
  
==Subject Matter Expert - Linguistics==
+
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:
  
Employer: Assured Information Security, Inc<br>
+
* 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;
Rank or Title: Subject Matter Expert<br>
+
* 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;
Specialty: Linguistics<br>
+
* 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;
Location: Rome, NY 13441<br>
+
* 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;
Deadline: July 17, 2013<br>
+
* 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;
Date Posted: June 17, 2013<br>
+
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!
Link to website: http://www.Click2Apply.net/6q7549z<br>
+
  
AIS, Inc. is currently seeking a Subject Matter Expert in SIGINT for their Rome, NY office to support customers in the areas of requirements development, testing, and system training. The candidate(s) will support and coordinate the activities of AIS research and development programs.
+
'''Application Process'''
  
Roles and Responsibilities
+
Visit our website for more information: http://allenai.org/jobs.html
  
* Analysis of ongoing operations to identify and document end user requirements
 
* Identification of operational scenarios to be used in evaluating candidate prototype technologies
 
* Testing and analysis of the interim prototype systems against operational data sets
 
* Conduct the demonstration and evaluation of interim prototype systems to operational users
 
* Coordination of program activities with operational site personnel
 
* Aggregation of operational data sets to be used in support of prototype evaluations
 
* Provide training and technical support of the prototype systems for the end users
 
* Creation of user documentation for the products developed within the research program
 
* Coordination with other contractors in the integration of prototype systems
 
* Assistance with the transition of prototype capabilities into the operational environment
 
  
 +
==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.
 +
  
Requirements
 
  
* Candidate must have 10 or more years of SIGINT experience to include field operations, analysis and reporting, training, and evaluation
+
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
* Expertise in one or more SIGINT - related disciplines
+
* Employer: Brigham and Women's Hospital / Harvard Medical School
* Operational SIGINT qualifications in collection and management positions
+
* Title: Postdoctoral Research Fellow
* Instructor and examiner experience
+
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
* Presentation development experience
+
* Location: Boston, MA
* Demonstrated experience with research and analysis techniques
+
* Deadline: Open until filled
* Strong interpersonal and oral/written communication skills including the ability to write progress reports, make oral presentations, and to implement or influence implementation of operating standards, policies and procedures in the project
+
* Date Posted: January 8, 2016
* Experience in working with diverse groups is desired
+
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
* Recent operational SIGINT field experience is highly desired
+
  
Qualifications and Education Requirements
+
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.
  
An active Top Secret/SCI security clearance and current investigation are required.
+
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
  
Preferred: Bachelor's Degree in Computer Science or related program with 8 - 12 years experience; Master's Degree in Computer Science or related program with 4 - 7 years of experience; or 16 + years of job
+
'''Required skills''':  experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.
related experience.
+
  
Additional Notes
+
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
  
AIS is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, Vietnam era or other eligible veteran status, or any other protected factor.
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
  
EEO/AA employer
+
'''Available''': Immediately.
  
 +
'''Compensation''': according to NIH (NRSA) stipend levels.
  
[http://www.Click2Apply.net/6q7549z Apply Here]
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Latest revision as of 11:20, 19 June 2016

Computational Linguist-Morphology

  • Employer: Esprit de Corps Corporation (EdC), US
  • Title: Computational Linguist-Morphology
  • Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.
  • Location: Various US Locations
  • Deadline: Open
  • Date posted: June 19, 2016
  • Contact: Jim Lay


EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.

Qualifications

  • A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.
  • Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.
  • Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.
  • Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.
  • Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.

Applicants must be United States citizens able to acquire a personal security clearance.

For more information about the post and for applications: http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".

Computational Linguist

  • Employer: Esprit de Corps Corporation (EdC), US
  • Title: Computational Linguist
  • Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.
  • Location: Various US Locations
  • Deadline: Open
  • Date posted: June 19, 2016
  • Contact: Jim Lay


EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results.

Qualifications

  • MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree).
  • Within the last 10 years shall have a minimum of 7 years experience each programming: C, C++, or Java.
  • Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).
  • Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications.
  • A minimum of 5 years experience with two or more foreign languages is required.
  • Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.

Applicants must be United States citizens able to acquire a personal security clearance.

For more information about the post and for applications: http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".

Research Associate/Fellow in Machine Learning, University of Sheffield, UK


We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.

This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.

This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.

This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):

  • PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas
  • Significant experience and track record in Machine Learning (RA and RF)
  • Strong publication record commensurate with career stage (RA and RF)
  • Experience and strong track record in Computer Vision (desirable for RA, required for RF)
  • Experience and strong track record in Natural Language Processing (desirable for both RA and RF)
  • Strong programming experience, particularly in Python or C++. (RA and RF)

This post is fixed-term with a start date from August 2016 (or soon after) and duration of 3 years with possibility of extension to 5 years.

Salary range: £28,847 to £46,414 per annum.

For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk

For more information about the post and for applications: http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018


Doctoral Researcher at UKP/KRITIS, TU Darmstadt

KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a Doctoral Researcher to start on 1 October 2016.

KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises. Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts. This is done in three main research areas:

  1. We want to ensure that technical infrastructures are constructed with the term "critical" in mind. We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.
  2. We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises. We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.
  3. Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").

Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.

In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.

Possible dissertation topics include:

  • Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media
  • Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)
  • Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media
  • User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries

For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at jobs@ukp.informatik.tu-darmstadt.de.

Requirements: The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website: http://www.kritis.tu-darmstadt.de

It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures. To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.

Working environment and conditions: KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors. Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities. We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.

Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt). The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.

Your application: TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply. All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference. Please prepare your application in English or German, and compressed as a single file (up to 6 MB). Applications should be sent by e-mail to Prof. Gurevych at jobs@ukp.informatik.tu-darmstadt.de by 10 July 2016. The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.

We look forward to receiving your application!

Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg

The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: Doctoral Researcher in Natural Language Processing

The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES.

Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.

AIPHES emphasizes close contact between students and their advisors, has regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally.

Applications should include:

  • a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,
  • a CV with information about the applicant’s scientific work,
  • certifications of study and work experience,
  • as well as a thesis or other publications in electronic form.

They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address jobs@ukp.informatik.tu-darmstadt.de.

Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt

The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of Full Professor (W3) for Real-Time Data Analytics to be appointed as soon as possible.

We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect.

Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning. Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems. Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.

We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also natural language processing, cognitive science, and cybersecurity.

In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.

Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.

Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary. Applicants who are already professors classed as German civil servants (Beamter) can retain this status. Employment regulations from §§61 and 62 of the Hessisches Hochschulgesetz apply.

Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).

Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de. Please quote reference No. 244.

For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de

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.