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

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* See also the [http://linguistlist.org/jobs Linguist Job List].
 
* See also the [http://linguistlist.org/jobs Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2015|2015]] - [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
 
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==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==
+
== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==
−
* Employer: US Naval Research Laboratory
+
 
−
* Title: Postdoctoral Research Fellow
+
* Employer: Cardiff University
−
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
+
* Title: Postdoctoral Research Associate
−
* Location: Washington, DC
+
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
−
* Deadline: Open until filled
+
* Location: Cardiff, UK
−
* Date Posted: January 20, 2016
+
* Deadline: May 20, 2017
−
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)
+
* Date posted: April 20, 2017
 +
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]
 +
 
 +
Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:
 +
* The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.
 +
*The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval.
 +
 
 +
Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)
 +
 
 +
Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.
 +
 
 +
 
 +
'''More information'''
 +
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.
 +
 
  
−
'''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.
+
== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==
  
−
'''Supervisor''': Sunny Khemlani, PhD
+
* Employer: University of Colorado Boulder
 +
* Title: Postdoctoral Research Associate
 +
* Specialty: Advanced Machine Learning
 +
* Location: Boulder, Colorado, United States
 +
* Deadline: Ongoing, desired start Summer/Fall 2017
 +
* Date posted: March 31, 2017
 +
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
−
'''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.
+
'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' <br/>
 +
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)
  
−
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.
+
The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time  postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.
  
−
'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.
+
The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving).
  
−
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.
+
The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education.
  
 +
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.
  
−
==Internship positions available at Juji, Inc.==
+
'''Required'''
−
* Employer: Juji, Inc.
+
* Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)
−
* Title: Intern
+
* Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)
−
* Location: Saratoga, CA
+
* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record
−
* Deadline: open until all the positions are filled
 
−
* Date Posted: January 14, 2016
 
  
−
'''Description''':
+
'''Desired'''
−
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. 
+
* Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)
 +
* Experience mentoring graduate and undergraduate students
  
−
We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.
+
'''Job Details'''
 +
* 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.
 +
* Start date is negotiable, but anticipated for Summer/Fall 2017.
 +
* Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.
  
−
We have multiple positions on two main tracks:
+
'''How to apply''' <br/>
 +
Please complete Faculty/University Staff EEO Data (application) form ([https://goo.gl/YC9g94 https://goo.gl/YC9g94]) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.
  
−
* 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.
+
Special Instructions to Applicants: The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.
  
−
* 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.
+
The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at [mailto:adacoordinator@colorado.edu adacoordinator@colorado.edu].
  
−
'''Qualifications'''
+
'''Questions''' <br/>
−
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.  
+
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
−
'''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.
 
−
 
  
 +
== Researcher in Machine Learning and NLP, DFKI, Germany ==
  
−
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
+
* Employer: [http://www.dfki.de/ DFKI GmbH], Germany
−
* Employer: Brigham and Women's Hospital / Harvard Medical School
+
* Title: Researcher
−
* Title: Postdoctoral Research Fellow
+
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
−
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
+
* Location: Saarbruecken
−
* Location: Boston, MA
+
* Deadline: March 31, 2017
−
* Deadline: Open until filled
+
* Date posted: March 13, 2017
−
* Date Posted: January 8, 2016
+
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]
−
* 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.
+
The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.
  
−
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
+
'''Key research responsibilities''' include:
 +
* machine and deep learning for natural language processing/machine translation
 +
* software development and integration
 +
* publication in top-tier conferences and journals
  
−
'''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.
+
'''General responsibilities''' include:
 +
* engagement with industry partners and contract research  
 +
* identification of funding opportunities and engagement in proposal writing
 +
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
 +
* administrative work associated with programmes of research
  
−
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
+
'''Requirements:'''
 +
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
 +
* Strong background and track record in machine learning, neural nets and deep learning
 +
* Strong background and track record in NLP and MT - Excellent programming skills
 +
* Excellent problem solving skills, independent and creative thinking
 +
* Excellent team working and communication skills
 +
* Excellent command of written and oral English
 +
* Command of German and other  languages not a requirement but helpful
  
−
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
+
The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).
  
−
'''Available''': Immediately.
+
'''Working environment:'''
 +
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.
  
−
'''Compensation''': according to NIH (NRSA) stipend levels.
+
The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project [http://www.qt21.eu/ QT21] on MT, the EU CEF funded [http://lr-coordination.eu/ ELRC] project and the EU funded [http://www.tradr-project.eu/ TRADR] project on human-robot collaboration in disaster response scenarios.
  
−
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.  
+
The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in [http://www.mmci.uni-saarland.de/en/start Multimodal Computing and Interaction] and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.
  
−
==Internship positions available in Natural Language Processing at Adobe Research==
+
'''Geographical environment:'''
−
* Employer: Adobe Systems Incorporated
+
[http://www.saarbruecken.de/en Saarbrücken] is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.
−
* Title: NLP Scientist Intern
 
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* Natural Language Processing, Machine Learning, Question Answering and Dialog Systems.
 
−
* Location: San Jose, CA
 
−
* Deadline: open until all the positions are filled
 
−
* Date Posted: December 23, 2015
 
−
* Trung Bui: bui@adobe.com
 
  
−
'''Description''':
+
'''Starting date, duration, salary:'''
−
We are looking for several NLP scientist interns who will work on semantic understanding, question answering and dialog systems to improve Adobe digital media and digital marketing products.  
+
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.
−
The internship will be at the Medial Intelligence Lab under the Imagination Lab at Adobe Research (http://www.adobe.com/technology.html) located in San Jose, California. It is 13 weeks long and can start any time from March 1, 2016.
 
  
−
'''Key Qualifications'''
+
'''Application:'''
−
*Experience with semantic parsing, question answering and dialog systems.
+
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to [mailto:mlt-sek@dfki.de Prof. Josef van Genabith] referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact [mailto:josef.van_genabith@dfki.de Prof. van Genabith] for informal inquiries.
−
*Experience with machine learning, deep learning.
 
−
*Good programming skills in Java/C++ and/or Python
 
  
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'''Education'''
 
−
M.S. or PhD student in Computer Science or related field
 
  
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'''Additional Requirements'''
+
== Associate Research Scientist, UKP Lab, TU Darmstadt ==
−
No.
 
  
−
== Associate Research Scientist at UKP Lab, TU Darmstadt ==
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
−
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], Department of Computer Science, Technische Universität Darmstadt
 
 
* Title: Associate Research Scientist
 
* Title: Associate Research Scientist
−
* Speciality: Natural Language Processing
+
* Specialty: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning
−
* Location: Darmstadt, Germany
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* Location: Darmstadt
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* Deadline: January 15, 2016
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* Deadline: March 8, 2017
−
* Date posted: December 23, 2015
+
* Date posted: February 21, 2017
−
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
+
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]
 +
 
 +
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an
 +
 
 +
'''Associate Research Scientist'''<br />
 +
'''(PostDoc- or PhD-level; for an initial term of two years)'''
 +
 
 +
to strengthen the group’s profile in the areas of Interactive Machine
 +
Learning (IML) or Natural Language Processing for Language Learning.
 +
The UKP Lab is a research group comprising over 30 team members who
 +
work on various aspects of Natural Language Processing (NLP), of
 +
which Interactive Machine Learning and Natural Language Processing
 +
for Language Learning are the focus areas researched in collaboration
 +
with partners in research and industry.
 +
 
 +
We ask for applications from candidates in Computer Science with a
 +
specialization in Machine Learning or Natural Language Processing,
 +
preferably with expertise in research and development projects, and
 +
strong communication skills in English and German.
 +
 
 +
* The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes.
 +
* The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems.
 +
 
 +
Prior work in the above areas is a definite advantage. Ideally, the
 +
candidates should have demonstrable experience in designing and
 +
implementing complex (NLP and/or ML) systems, experience in
 +
large-scale data analysis, large-scale knowledge bases, and strong
 +
programming skills incl. Java. Experience with neural network
 +
architectures and a sense for user experience design are a strong
 +
plus. Combining fundamental NLP research on Interactive Machine
 +
Learning or Natural Language Processing with practical applications
 +
in different domains including education will be highly encouraged.
 +
 
 +
UKP’s wide cooperation network both within its own research community
 +
and with partners from research and industry provides an excellent
 +
environment for the position to be filled. The Department of Computer
 +
Science of TU Darmstadt is regularly ranked among the top ones in
 +
respective rankings of German universities. Its unique research
 +
initiative "Knowledge Discovery in the Web" and the Research Training
 +
Group [https://www.aiphes.tu-darmstadt.de/ "Adaptive Information Processing of Heterogeneous Content" (AIPHES)] funded by the DFG emphasize NLP, machine learning, text
 +
mining, as well as scalable infrastructures for the assessment and
 +
aggregation of knowledge. UKP Lab is a highly dynamic research group
 +
committed to high-quality research results, technologies of the
 +
highest industrial standards, cooperative work style and close
 +
interaction of team members working on common goals.
 +
 
 +
Applications should include a detailed CV, a motivation letter and an
 +
outline of previous working or research experience (if available).
 +
 
 +
Applications from women are particularly encouraged. All other things
 +
being equal, candidates with disabilities will be given preference.
 +
Please send the applications to:
 +
[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 08.03.2017. The positions
 +
are open until filled. Later applications may be considered if the
 +
position is still open.
 +
 
 +
==  Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==
 +
*Employer: Northwestern University, USA
 +
*Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University
 +
*Speciality: Open area
 +
*Location: Evanston, IL, USA
 +
*Deadline: April 1, 2017
 +
*Date posted: February 17, 2017
 +
*Contact: matt-goldrick@northwestern.edu
  
−
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an '''Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years)''' to strengthen the group's profile in the area of Computational Argumentation. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Computational Argumentation is one of the rapidly developing focus areas in collaboration with industrial partners.
+
The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).
 +
 +
The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.
 +
 +
To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.
 +
 +
E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
  
−
We ask for applications from candidates in Computer Science, Information Systems, Business Information Technology, or Computational Linguistics, preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of computational argumentation (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and experience in information retrieval, large-scale data processing and machine learning. In particular, experience with deep-learning is a strong plus. Combining fundamental NLP research on Computational Argumentation with industrial applications from different application domains will be highly encouraged.
+
==  Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==
 +
*Employer: Cardiff University, UK
 +
*Title: Research Associate in Artificial Intelligence / Machine Learning
 +
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models
 +
*Location: Cardiff, UK
 +
*Deadline: March 2, 2017
 +
*Date posted: February 13, 2017
 +
*Contact: schockaerts1@cardiff.ac.uk
  
−
UKP's wide cooperation network both within its own research community and with partners from industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web" and the recently established Research Training Group "Adaptive Information Processing of Heterogeneous Content" (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.
+
Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience.  
  
−
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).
+
This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)
  
−
Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 15 January 2016. The position is open until filled. Later applications may be considered if the position is still open.
+
'''Essential criteria'''
  
−
== Postdoctoral Researcher position in NLP/Computational Social Science at UPenn ==
+
* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience
−
* Employer: Computer & Information Science, University of Pennsylvania, USA
+
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.
−
* Title: Postdoctoral Researcher
+
* A strong background in statistics and linear algebra.
−
* Speciality: Natural Language Processing, Computational Social Science
+
* Excellent programming skills.
−
* Location: Philadelphia, USA
+
* Knowledge of current status of research in specialist field.
−
* Deadline: January 15, 2016
+
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP).
−
* Date posted: December 21, 2015
+
* Ability to understand and apply for competitive research funding.
−
* Contact: applications@wwbp.org
+
* Proven ability in effective and persuasive communication.
 +
* Ability to supervise the work of others to focus team efforts and motivate individuals.
 +
* Proven ability to demonstrate creativity, innovation and team-working within work.
  
−
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.
+
'''Background about the university'''
  
−
The ideal candidate will have research experience in computational linguistics and applied machine learning. She or he will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwbp.org for example publications.
+
Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework.  
  
−
* Application Deadline: January 15, 2015
+
'''Background about the project'''
−
* Approximate Start Date: March 1, 2016 (but flexible)
 
  
−
How to Apply: Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.
+
Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications.  
  
−
The University of Pennsylvania is an EOE/Affirmative Action Employer. Position contingent on funding.
+
The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.
  
−
Primary Contact: Professor Lyle Ungar, ungar@cis.upenn.edu
+
'''More information'''
  
 +
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.
  
−
== Multiple positions as Full-time researcher, Post-doc researcher, Software Engineer and Summer Intern in IBM Research - Almaden, San Jose ==
+
== Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK ==
−
* Employer: IBM Research - Almaden
+
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
−
* Title: Researcher, Software Engineer, Post-doc, Summer Intern
+
*Title: Research Associates in Natural Language Processing / Text Mining
−
* Speciality: natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management
+
*Speciality: Natural Language Processing, Text Mining
−
* Location: San Jose, CA
+
*Location: Manchester, UK
−
* Deadline: (until filled)
+
*Deadline: March 13, 2017
−
* Date posted: December 18, 2015
+
*Date posted: February 10, 2017
−
* Contact: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
+
*Contact: sophia.ananiadou@manchester.ac.uk
  
 +
The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.
  
−
IBM Research - Almaden is looking for researchers to join the Natural Language Processing, Entity Resolution and Discovery Department. Our research focuses around creating a knowledge engineering platform for the creation, maintenance and consumption of “industry-specific” knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such a platform needs to support the entire lifecycle for knowledge engineering including:
+
They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning.  
−
* creation, maintenance and evolution of ontologies to capture domain concepts of interest
 
−
* scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources such as text analytics, entity resolution and integration, cleansing, data transformations and machine learning; supporting domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
 
−
* scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
 
−
* techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
 
−
* easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
 
−
* incorporating crowd sourcing and continuous evolution of the system through learning from user interactions.
 
  
 +
'''Skills'''
  
−
The research builds upon and extends successful projects from our group, which have resulted in academic, industrial and open source impact:
+
You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus. You should have excellent programming skills, preferably in Java.  
−
* SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
 
−
* Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
 
−
* SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174
 
  
 +
* Duration of post: Immediately until 31st October 2018
 +
* Salary: £31,076-£38,183 per annum
  
−
The research is being conducted in close collaboration with the IBM Watson Solutions division and multiple global IBM Research labs (India, Haifa and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).
+
'''Research Team'''
−
We are currently looking for researchers (Research Staff Members, software engineers, post-doc researchers and summer interns) with interest & experience in one or more areas relevant to the knowledge engineering life cycle such as natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management, as described above.
 
  
 +
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.
  
−
Please send your resumes to: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
+
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).  
  
−
== Two Postdoc Opportunities at the US Army Research Lab in the Washington, DC Metro Area ==
+
Deadline of applications: 13/03/2017
−
* Employer: US Army Research Laboratory
 
−
* Title: Postdoctoral Fellow
 
−
* Speciality: Knowledge Representation, Knowledge Bases, Common-Sense Reasoning, Planning
 
−
* Location: Adelphi, MD
 
−
* Deadline: (until filled)
 
−
* Date posted: November 30, 2015
 
−
* Contact: douglas.a.summers-stay.civ@mail.mil and/or ethan.a.stump2.civ@mail.mil
 
  
−
The US Army Research Laboratory currently has two postdoc opportunities:
+
Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975
  
  
−
'''Position #1'''
+
== Research Scientist Intern at Adobe Research, San Jose, California ==
 +
*Employer: Adobe Systems Incorporated
 +
*Title: Research Scientist Intern
 +
*Speciality: NLP, machine learning and dialog.
 +
*Location: San Jose, CA, USA
 +
*Deadline: March 1, 2017
 +
*Date posted: January 23, 2017
 +
*Contact: bui@adobe.com
  
−
The US Army Research Laboratory (ARL) is researching common-sense reasoning and natural language understanding for the purpose of creating a communication dialogue to promote increased intent understanding within Human-Robot teams. In support of this effort, ARL is looking for an individual with a PhD or equivalent, with interest and a background in knowledge representation, knowledge bases, knowledge graphs, common-sense reasoning, or spatial reasoning. We plan to make use of semantic vector spaces to enhance the capabilities of the reasoning system, so some familiarity with knowledge graph embedding, distributional semantic vector spaces (such as GloVe or word2vec), or learning from massive text corpora would also be beneficial.
+
We are looking for PhD students with background in NLP, machine learning, dialog to work on 2 following projects:
 +
1) Deep reinforcement learning for creative assistant
 +
2) Reading order text extraction for PDF documents
  
−
The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.
+
== Assistant/Associate Professor Position in NLP/IR/Text/ML at University of California - Davis ==
 +
*Employer: University of California - Davis
 +
*Title: Assistant/Associate Professor
 +
*Speciality: All areas of NLP/Text/IR/ML etc including those involved in multi-media analysis.
 +
*Location: Davis, CA, USA
 +
*Deadline: January 2, 2017
 +
*Date posted: December 27, 2016
 +
*Contact: davidson@cs.ucdavis.edu
  
−
To learn more about the position, or to apply, please send questions or a CV to Dr. Douglas Summers-Stay via email at douglas.a.summers-stay.civ@mail.mil.
+
The Department of Computer Science at the University of California at Davis invites applications for a faculty position at the rank of Assistant or Associate Professor in Computer Science, for appointments with a start date in Spring 2017, or later. We are targeting excellent candidates in all areas of machine learning and computational linguistics, with a special emphasis on all aspects of natural language processing, information retrieval, text analytics and text mining. The campus is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and service.
  
 +
Applications received by 2nd January 2017 will receive full consideration. For further information see http://www.cs.ucdavis.edu/blog/faculty-employment-positions-2/
  
−
'''Position #2'''
 
  
−
The US Army Research Laboratory (ARL) is seeking a Postdoctoral Researcher to bridge the gap between humans and autonomous systems by developing a controlled language to reason and communicate about human intent as it applies to commands a robot receives. In robotics, practitioners often program autonomous systems by developing monolithic behaviors that, when correctly parameterized, will cause the system to act as desired. However, setting these parameters is often more art than science, and we cannot expect an average user to effectively task the system unless they have only the simplest tasks in mind. ARL desires a controlled language that both concisely describes the capabilities of autonomous systems, as well as enables common-sense reasoning and representation of implicit goals that will let the system fill instructional gaps from novice users.
 
  
−
In this position, the Researcher will work on a cross-disciplinary team comprised of researchers in computational linguistics, computer vision, machine learning, and experimental robotics to develop a system for interacting with humans—the goal being to develop and evolve complex plans carried out by autonomous systems. The primary responsibilities of the Researcher will be learning how we can use language to link the domains of intent reasoning and action, and developing such a language to enable experiments with humans and robot teams operating in dynamic environments.
 
  
−
The candidate must have a PhD or equivalent degree, and should have an interest and background in formal methods, knowledge representation and reasoning, computational linguistics, control policies, or AI planning.
 
  
−
The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.
+
==Postdoctoral Fellow in Natural Language Processing / Machine Learning 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, Machine Learning, Predictive Modeling
 +
* Location: Boston, MA
 +
* Deadline: Open until filled
 +
* Date Posted: December 23, 2016
 +
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
  
−
To learn more about the position, or to apply, please send questions or a CV to Dr. Ethan Stump via email at ethan.a.stump2.civ@mail.mil.
+
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians led by Dr. Leonid Perlovsky (http://www.leonid-perlovsky.com/) and Dr. Alexander Turchin (https://connects.catalyst.harvard.edu/Profiles/display/Person/14588) 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; Leonid Perlovsky, PhD
  
−
== Open PhD position on Textual Knowledge Resources (NLP / IR / ML) at Data and Web Science Group in Mannheim, Germany ==
+
'''Required skills''':  strong mathematical background in statistics and machine learning; experience working with large datasets; 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 predictive modeling, medical terminologies / ontologies, python, MATLAB and Apache Spark is a strong plus.
−
* Employer: The Data and Web Science Research Group, University of Mannheim, Germany
 
−
* Title: PhD Candidate (post-Masters)
 
−
* Speciality: Natural Language Processing, Information Retrieval, Knowledge Bases
 
−
* Location: Mannheim, Germany
 
−
* Deadline: January 6, 2016
 
−
* Date posted: November 20, 2015
 
−
* Contact: queripidia-jobs(At)uni-mannheim(DoT)de
 
  
−
The Information Retrieval and Natural Language Processing Group at the University of Mannheim invite applications for
+
'''Education''': PhD in computer science, biomedical informatics, or related discipline or an equivalent degree.
  
−
'''ONE PHD STUDENT IN STATISTICAL NLP / IR / MACHINE LEARNING'''
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
  
−
The student is expected to contribute to a project on Knowledge Consolidation and Organization for Query-specific Wikipedia Construction under the principal investigator Laura Dietz. The goal of the research project is to make information on the Web accessible in a Wikipedia-like form through a query-driven interaction paradigm. This research requires a combination of methods from information retrieval and automatic text understanding to provide the user with a synthesis of the information through summarization, sub-topic identification, and article organization.
+
'''Available''': Immediately.
  
−
We are particularly interested in candidates with a background in one or several of the following areas:
+
'''Compensation''': according to NIH (NRSA) stipend levels (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html).
−
*    statistical text processing (e.g., automatic summarization, event extraction and ordering)
 
−
*    machine learning
 
−
*    knowledge base construction
 
−
*    information retrieval
 
−
*    distributed large-scale processing
 
  
−
Applicants '''must have a Masters degree''' (or obtain it in the near future) in Computer Science, Natural Language Processing or Machine Learning with previous research experience in information retrieval and human language technologies is a plus. The successful candidate is expected work under limited supervision, and publish papers at top level conferences and journals and collaborate with other members of the research group.
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.
  
−
Duration: initially one year (starting in Spring 2016) with possible extension of three years.
 
  
−
Salary range: according to German public scale TV-L 13 100% (full time, commensurate with experience and qualifications, ranging between 3200 and 4.600 Euro before taxes).
+
== PhD Scholarship /  Enhancing Scientific Text Summarization / Barcelona ==
 +
*Title: PhD Scholarship /  Enhancing Scientific Text Summarization with Academic Social Networks
 +
*Location: Barcelona, Spain
 +
*Deadline: February 2nd, 2017
 +
*Date posted: December 12, 2016
 +
*Contact: horacio.saggion@upf.edu
  
−
'''Please submit your application per e-mail (queripidia-jobs(At)uni-mannheim(DoT)de) as a single PDF.''' This PDF should include a short research statement, CV, copy of university degrees, a list of publications and published software and contact details of three references. All applications sent before January 6, 2016 will receive full consideration. The position remains open until filled.
+
In the context of the Marie-Curie PhD InPhiNIT La Caixa  program associated to  the Maria de Maeztu Strategic Research  Program, we are looking for a highly  motivated PhD candidate  in the area of Natural Language Processing to work in a project dealing with Scientific Text Summarization and Academic Social  Networks.  
  
−
The Data and Web Science Group is a joint lab of several professors covering diverse topics on managing, integrating and mining large-amounts of heterogeneous information within enterprise and open Web contexts. Further information about the group can be found at http://dws.informatik.uni-mannheim.de/ .
+
The PhD will be carried out at the TALN research group of the  Department of Information and Communication Technologies  (DTIC),  Universitat Pompeu Fabra (UPF) in Barcelona.
  
−
The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.
+
The PhD student should have background in Natural Language  Processing with a solid knowledge of statistics, mathematics,  computer programming and machine  learning. Experience in  Information Extraction, Text Summarization, or related areas  would be appreciated.
  
−
Please contact Laura Dietz (queripidia-jobs(At)uni-mannheim(DoT)de) for informal enquiries.
+
Brief description of the project:
  
−
Job posting at: http://bit.ly/1MWXjo1
+
http://www.dtic.upf.edu/~hsaggion/scientific_summarization_social.html
  
 +
How and where to apply (InPhiNIT program):
  
−
== Research position in Natural Language Processing/Text Mining, University of Manchester ==
+
https://obrasociallacaixa.org/en/educacion-becas/becas-de-posgrado/inphinit/programme-description
−
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
+
 
−
*Title: Postdoctoral Research Fellow
+
 
−
*Speciality: Natural Language Processing, Text Mining
+
 
−
*Location: Manchester, UK
+
The TALN research group:
−
*Deadline: October 19, 2015
+
 
−
*Date posted: November 15, 2015
+
http://taln.upf.edu/
−
*Contact: sophia.ananiadou@manchester.ac.uk
+
 
 +
Maria de Maeztu Strategic Research at DTIC:
 +
 
 +
https://www.upf.edu/web/mdm-dtic/description
  
−
Applications are invited for a senior research fellow in Clinical Text Mining at the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk) , School of Computer Science, University of Manchester.
+
http://ec.europa.eu/research/mariecurieactions/
  
−
Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in information extraction at large scale; excellent knowledge in developing and adapting algorithms for text mining systems; machine learning; experience in biomedical/clinical Natural Language Processing/Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, Coling, etc., and in high quality journals; excellent Java skills; proven ability to develop research proposals independently.
+
Other:
  
−
The objectives of this post are to conduct research into extracting complex information from the scientific literature and clinical case reports to facilitate the discovery of biomarkers using adaptive natural language processing and text mining methods.
+
You can contact Prof. Horacio Saggion for more information about the project.
−
* Duration of post: 1st November 2015 for 48 months
 
−
* Salary: £38,511 to £42,067 per annum
 
  
−
'''Research Environment '''
+
Related information:
  
−
The National Centre for Text Mining has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.manchester.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".
+
https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/Ef1was9TxNY4/content/id/4113025#.WE6ZIH23nm4
  
−
The project involves collaboration with a large team working in a newly created interdisciplinary research centre (Manchester Molecular Pathology Innovation Centre, MMPathIC) funded by MRC/EPSRC, focusing on personalised medicine, improving diagnosis and treatment of inflammatory diseases, validating and evaluating biomarkers for improving patient outcomes.  
+
http://taln.upf.edu/pages/coling2016tutorial/
  
−
Informal enquiries can be made to Prof. Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk)
+
  
−
Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=10521
+
  
−
== PhD Position: Deep Learning and Random Forest for Argumentation Mining ==
+
−
*Employer:University of Liège, Liège, Belgium
 
−
*Title: PhD Candidate
 
−
*Speciality: Natural Language Processing, Text Mining
 
−
*Location: Liège, Belgium
 
−
*Deadline: November 23, 2015
 
−
*Date posted: October 8, 2015
 
−
*Contact: ashwin.ittoo@ulg.ac.be
 
  
−
The overall goal of this PhD project is to contribute to and advance the nascent field of AM. The selected candidate will have the opportunity to develop novel AM algorithms, which will then be applied to online reviews to evaluate their performance and to determine whether the presence of argumentative patterns are predictive of the helpfulness of online reviews.
 
  
−
The candidate will investigate the performance of two recent machine learning paradigms, Deep  Learning and Random Forests. The candidate will develop a sound understanding of these paradigms and propose novel Deep Learning and Radom Forest algorithms for AM. Other recent machine learning paradigms, in particular, minimally-supervised learning and distant supervision, will also be investigated. The proposed algorithms will be applied to online reviews in order to automatically detect argumentative patterns from the textual contents and determine whether the presence of these patterns influence the reviews’ helpfulness scores of
+
== Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning at Imperial College London, UK ==
 +
*Employer: Department of Computing, Imperial College London
 +
*Title: Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning
 +
*Speciality: Artificial Intelligence and Machine Learning, including (but is not limited to): machine learning for text and speech.
 +
*Location: London, UK
 +
*Deadline: January 16, 2017
 +
*Date posted: December 8, 2016
 +
*Contact: margaret.hall@imperial.ac.uk
  
−
Several corpora are already available for evaluation: product and service reviews from Amazon (books, movies), YELP and TripAdvisor. In addition, access to the Penn Discourse TreeBank (PDTB) is also available.
+
The Department of Computing at Imperial College London invites applications for full-time faculty members at the Lecturer/Senior Lecturer level (comparable to American tenure-track Assistant Professorships) who can contribute to research and teaching, in particular in the area of Artificial Intelligence and Machine Learning. This includes (but is not limited to): autonomous systems; knowledge representation and reasoning; planning; machine learning for speech, audio and text; optimization and data mining.
  
−
The selected candidate will be based at the HEC Management School, the University Liège, within the Operations department. Members of this department are engaged in research and teaching in “quantitative methods” (Operations Research, Machine Learning/Data Mining/Analytics, Enterprise Information Systems, Supply Chains and Logistics). The candidate will also collaborate with other international scholars in Japan, the Netherlands and France.
+
Notwithstanding the above focus, exceptional candidates from any area of Computer Science are also encouraged to apply.
  
−
The PhD project will span over a period of '''4 years''' and the candidate will be hired as a full-time PhD scholar. The '''gross salary will be around 2150 EUR per month (net: ~ 1800-1990 EUR)'''.
+
The deadline for  applications is 16th January 2017. For further information see http://www.imperial.ac.uk/computing/job-vacancies/
−
Interested candidates are required to send their '''CV (incl. publications if any)''' and a '''letter of motivation''' via e-mail to Prof. Ashwin Ittoo, '''ashwin.ittoo@ulg.ac.be by 23rd November 2015'''. Please clearly indicate ‘PhD application’ in the subject line. Only those candidates deemed most suitable for the research position will be contacted. The starting date is negotiable, but we would prefer candidates who could start soonest.
 
  
−
<!-- END OF HEADER -->
 
  
−
== Research Associate in Natural Language Processing and Machine Learning, National Centre for Text Mining, University of Manchester ==
+
== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==
 
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
 
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
−
*Title: Research Associate
+
*Title: Research Fellow
 
*Speciality: Natural Language Processing, Text Mining
 
*Speciality: Natural Language Processing, Text Mining
 
*Location: Manchester, UK
 
*Location: Manchester, UK
−
*Deadline: October 3, 2015
+
*Deadline: December 18, 2016
−
*Date posted: September 25, 2015
+
*Date posted: November 28, 2016
 
*Contact: sophia.ananiadou@manchester.ac.uk
 
*Contact: sophia.ananiadou@manchester.ac.uk
  
−
Applications are invited for a researcher in NLP and machine learning at the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk), School of Computer Science, University of Manchester.
+
Applications are invited for a postdoctoral research fellow in Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester. The position is for 2 years.
  
−
The candidate will be joining a strong team with 10+ staff at NaCTeM carrying out cutting edge research in NLP, biomedical text mining and machine learning. The post is funded by the Medical Research Council and focuses on developing new algorithms for unsupervised and semi-supervised methods in information extraction, topic analysis, active learning, text classification using deep learning/neural networks to support the development of systematic reviews at the National Institute for Health and Care Excellence.
+
The objective of this BBSRC funded post is to conduct research into extracting complex information (entities and events) from the scientific literature to support metabolic model development.
  
−
Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing and Machine Learning; excellent knowledge in unsupervised NLP methods, deep learning, neural networks; excellent knowledge in topic analysis, clustering and classification; track record of high-quality papers in conferences such as ACL, EMNLP, etc., and excellent programming skills.
+
Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in biomedical text mining (event extraction); excellent knowledge in developing and adapting algorithms for text mining systems; strong publication record; excellent programming skills.
  
−
* Duration of post: 1st November 2015 for 24 months
+
* Duration of post: 1st January 2017 to 31st December 2018
−
* Salary: £30,434 to £37,394 per annum  
+
* Salary: £39,324 to £48,327 per annum
  
 
'''Research Environment '''
 
'''Research Environment '''
  
−
The National Centre for Text Mining has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems.
+
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.
−
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.manchester.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".
+
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".
−
NaCTeM is collaborating closely with the newly created Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST) in Japan (https://unit.aist.go.jp/airc//index.en.html), which focuses among others on data-knowledge integration, machine learning, natural language processing and text mining. The candidate will benefit from research stays and interactions with the team in Japan.
 
  
−
Informal enquiries can be made to Prof. Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk)
+
The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.
 +
More information about the project: http://www.nactem.ac.uk/empathy/
  
−
Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=103224.
+
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).
  
 +
Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12531
  
  
−
==Research Positions at AIRC (Artificial Intelligence Research Center), Japan==
+
== Associate Research Scientist, UKP Lab, TU Darmstadt ==
−
*Employer: Artificial Intelligence Research Center (AIRC), National Institute for Advanced Industrial Science and Technology (AIST)
 
−
*Title: Post-doctoral research fellows
 
−
*Speciality: Machine Learning, Deep Learning, Neuro-Computing, Natural Language Processing, Text Mining
 
−
*Location: Tokyo, Japan
 
−
*Deadline: October 16, 2015
 
−
*Date posted: September 25, 2015
 
−
*Contact: airc-recruit-ml@aist.go.jp
 
  
−
Applications are invited for several positions in Artificial Intelligence at the Artificial Intelligence Research Center (AIRC) (https://unit.aist.go.jp/airc//index.en.html) under the auspices of the National Institute for Advanced Industrial Science and Technology (AIST) (http://www.aist.go.jp/index_en.html).  
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
−
Successful candidates will join a strong and expanding team of 35+ full-time researchers carrying out cutting edge research in AI.  
+
* Title: Associate Research Scientist
 +
* Specialty: NLP
 +
* Location: Darmstadt
 +
* Deadline: December 12, 2016
 +
* Date posted: November 23, 2016
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]
  
−
Research at AIRC includes Machine Learning, Deep Learning, Planning and Search, Text Mining, NLP, Pattern Recognition, Brain Inspired Computation, and infrastructures for AI．With strong research links to industrial partners, there is a particular emphasis on applications of AI technology to real world problems as well as research into theories and fundamental AI technologies. We work in close cooperation with partners in both the private and public sector to cover a broad range of AI applications, including:
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an
  
 +
'''Associate Research Scientist'''<br />
 +
'''(PostDoc- or PhD-level; for an initial term of two years)'''
  
−
* Artificial Intelligence for Human Life: Health-care, Smart city and Smart home, Innovative Retailing and Tourism, etc.
+
to strengthen the group’s profile in the areas of Interactive Machine Learning (IML) or Computational Argumentation (CA). The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Interactive Machine Learning and Computational Argumentation are the rapidly developing focus areas in collaboration with partners in research and industry.  
−
* Artificial Intelligence for Manufacturing and Engineering: Intelligent Robots, Intelligent planning and control of manufacturing plants, etc.
 
−
* Artificial Intelligence for Big Sciences: AI applications in Bio-Medical Science and Material Science, Geology, Computational Sociology, etc.        
 
  
 +
We ask for applications from candidates in Computer Science with a specialization in Machine Learning or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.
 +
- The successful applicant in the area of interactive machine learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create the corresponding product prototypes.
 +
- The successful applicant in the area of Computational Argumentation will work on research activities in analyzing the discourse of future professionals while reasoning to automatically access their argumentation quality given small amounts of training data, and development activities for the research prototype.
 +
Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems, experience in information retrieval, large-scale data processing and large-scale knowledge bases, and strong programming skills incl. Java. Experience with neural network architectures is a strong plus. Combining fundamental NLP research on Interactive Machine Learning or Computational Argumentation with practical applications in different domains will be highly encouraged.
  
 +
UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web”  and the Research Training Group [https://www.aiphes.tu-darmstadt.de “Adaptive Information Processing of Heterogeneous Content” (AIPHES)] funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.
  
−
The advertised posts are funded by a project supported by NEDO (http://www.nedo.go.jp/english/index.html), which aims to establish a core research center for AI in Japan. Depending on the expertise and interest of the candidate, s/he will focus either on basic research or application related research of AI to real world problems. AIRC will carry out research in close cooperation with national or international research institutions such as Riken, CMU, Toyota Technology Institute in Chicago, the University of Manchester and DFKI.
+
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).  
  
 +
Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 15.12.2016. The positions are open until filled. Later applications may be considered if the position is still open.
  
−
Candidates should have a PhD in Computer Science with an emphasis on one of the following areas: Machine Learning, Deep Learning, Neuro-Computing, Planning and Search, Natural Language Processing, Text Mining, and Algorithms and Infrastructures for Big Data Analysis. Excellent programming skills and an excellent track-record of high-quality papers in top-tier conferences and journals would be a definite advantage.
+
== One Teaching Track and One Tenure Track position open at the Language Technologies Institute at Carnegie Mellon University (Pittsburgh, PA USA) ==
 +
Employer: Language Technologies Institute, School of Computer Science, Carnegie Mellon University
  
 +
Title: Assistant Teaching Professor and Assistant Professor
  
−
We have three categories of post-doctoral research fellows. The duration of employment for all three categories is initially 24 months, with a possible extension of 36 months or longer, depending on performance. The starting date of employment will be 1st December 2015 at the earliest.
+
Specialty: Natural Language Processing, Computational Linguistics, Machine Learning and Statistical Methods for NLP, Social Media Analysis
 +
* Deadline: January 3, 2017
 +
* Date posted: 10th November 2016
 +
* Contact:  [mailto:cprose@cs.cmu.edu Dr. Carolyn P.Rose]
  
−
* Category A: Post-Doctoral Research Fellow - Salary 5,500,000 JPY to 7,000,000 JPY per annum
+
The Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University invites applications for teaching-track and tenure-track positions, beginning Fall 2017. LTI is an academic department dedicated to the study of human language and information technologies, with approximately thirty faculty members. LTI is one of seven departments within SCS, which has over 200 tenure-track, research, and teaching faculty with expertise spanning traditional computer science, human computer interaction, language technologies, machine learning, computational biology, software engineering, and robotics. SCS offers a highly collaborative and uniquely interdisciplinary environment that promotes innovation and entrepreneurship in both teaching and research.
−
* Category B: Senior Post-Doctoral Research Fellow -  Salary 7,000,000 JPY to 10,000,000 JPY per annum
 
−
* Category C: Distinguished Research Fellow -  Salary 10,000,000 JPY per annum
 
  
  
−
'''Research Environment'''
+
The teaching track is a career-oriented, renewable appointment with an initial appointment of three years. Initial teaching-track appointments are typically at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. These ranks are not tenured, but they do provide substantial opportunities for professional growth and long-term contributions to Language Technologies education at Carnegie Mellon University. Teaching track faculty contribute to the design of new curricula and the adoption of new teaching methods.
 +
For more information about this position, see: http://lti.cs.cmu.edu/teaching-track-faculty-position
  
  
−
AIST is one of the largest publicly funded research institutes in Japan and a single research institute under the Ministry of Economy, Trade and Industry (METI). AIRC is the newest research center within AIST, established in May, 2015.  As a core research center of AI in Japan, we have been establishing close cooperation with researchers at Japanese and international institutes, which include the University of Tokyo, Tokyo Institute of Technology, Riken, Osaka University, Tohoku University, National Institute of Informatics, Toyota Technology Institute in Chicago, CMU, University of Manchester and DFKI.
+
We are also seeking to hire on the tenure track.  Tenure track appointments are typically at the rank of Assistant Professor, with the possibility of promotion to the ranks of Associate Professor and Professor.  Tenure-track applicants must have strong interests and accomplishments in both research and teaching. For more information about this position, see: http://lti.cs.cmu.edu/tenure-track-faculty-position
  
 +
== One Post-doctoral position in Statistical Machine Translation in CUNY (at Manhattan, NYC) ==
  
−
AIRC is located in Odaiba, which is in one of the central districts of Tokyo, a bustling international city and the capital of Japan. Tokyo offers both the modern urban lifestyle of Japan as well as a rich Japanese heritage.  
+
Employer: Department of Computer Science at Hunter College, University of New York
 +
Title: post-doctoral position
 +
Specialty: Machine Translation
 +
Location: Manhattan, NYC, NY
 +
* Deadline: Open until filled
 +
* Date posted: 6th November 2016
 +
* Contact:  [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]
  
−
Interested candidates are invited to send, via electronic mail, the following items to the Director of Artificial Intelligence Research Center (AIST), Prof. Junichi Tsujii (airc-recruit-ml@aist.go.jp):
+
The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for one post-doctoral position. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.
  
−
* A cover letter that clearly indicates their main research interests
+
Applicants should hold by the time the appointment begins a PhD (or its equivalent) in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or in a related discipline. We are seeking for applicants committed to either (1) extending their current research program in statistical Natural Language Processing or (2) employing their analytical and engineering skills and join in our current research program. Therefore, this position can be also seen as an opportunity to fast-forward develop statistical NLP skills and conduct cutting-edge research in this field.
−
* Curriculum Vitae
 
−
* The contact details of 3 referees
 
−
* Copies of maximum of 3 publications that you have (co-)authored, and which are representative of your past research achievements. Each publication should be accompanied by a short summary that highlights its major contributions
 
−
* An agenda of future research goals. This should be no longer than one page, including figures
 
  
−
Informal enquiries can be made to airc-recruit-ml@aist.go.jp
+
The position is for 1 year with the possibility of extending it up to 3 years. The starting date is flexible.
  
 +
The Hunter College at the City University of New York may ask the post-doctor to take up a very moderate teaching load (can be waived based on research promise). The salary commensurate with qualifications and research potential and starts from $50K/year.
  
−
NOTE: Please send your application to airc-recruit-ml@aist.go.jp directly via e-mail, and not by post. It is NOT necessary to follow the specific CV formats specified on the AIRC website.
+
Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for collaboration. Hunter college is surrounded by top research labs (e.g. Google Research, Microsoft Research, Facebook, IBM Research), and many other university departments (e.g. Princeton, Columbia, NYU).
  
−
+
Applications should include a recent CV and optionally a research statement and 2 representative publications. Applications should be sent to Dr. Jia Xu by email to: jia.xu@hunter.cuny.edu including in the Subject title the keyword: “Application”.
  
−
==Open Rank Tenure Line Position in Linguistics at Northwestern University==
+
All applicants will be notified upon receipt of the application by email.
−
*Employer: Northwestern University
 
−
*Title: Tenure-Line Professor (open rank)
 
−
*Speciality: Open area
 
−
*Location: Evanston, IL, USA
 
−
*Deadline: December 1, 2015
 
−
*Date posted: August 31, 2015
 
−
*Contact: matt-goldrick@northwestern.edu
 
  
−
The Department of Linguistics at Northwestern University seeks to fill a tenure-line position (open rank) with a start date of September 1, 2016. We are looking for candidates who pursue an integrated approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The candidate will join a vibrant interdisciplinary language sciences community including researchers from cognitive science, cognitive neuroscience, computer science, philosophy, psychology, and speech science.
+
This position will be advertised at http://jiaxu.org until is filled.
−
 
−
We seek exceptional candidates with forward-looking research programs that hold the promise of future external funding. Applicants that wish to be considered for appointment at the rank of Associate Professor or Professor are expected to have a record of excellence in research and teaching, success in obtaining external funding, and to have held both internal and external leadership roles.
 
−
 
−
To receive fullest consideration, applications should arrive by December 1, 2015. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV (including contact information), statements of research and teaching interests, reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names of three references (with their contact information). Please visit http://www.linguistics.northwestern.edu/ for online application instructions.
 
−
 
−
E-mail inquiries should be directed to Matt Goldrick, Chair (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
 
−
 
  
−
== One PHD / POSTDOC position in Text Analysis at the University of Mannheim ==
+
Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.
−
* Employer: The Data and Web Science Research Group, University of Mannheim, Germany
 
−
* Title: PhD or Postdoctoral Research Fellow
 
−
* Topics: Natural Language Processing
 
−
* Location: Mannheim, Germany
 
−
* Deadline: September 15, 2015
 
−
* Date Posted: August 20, 2015
 
−
* Contact: sfb884@informatik.uni-mannheim.de
 
  
−
The researcher is expected to contribute to the C4 project on “Measuring a common space and the dynamics of reform positions” within the DFG-funded Collaborative Research Centre (SFB) 884 “Political Economy of Reforms” (http://reforms.uni-mannheim.de) at the University of Mannheim. The topic of the PhD will focus on exploiting computational methods for analysing discourse phenomena like, e.g., uncertainty, vagueness and bias in political texts. This is a joint collaboration between the Natural Language Processing and Information Retrieval group (Prof. Simone Paolo Ponzetto) and the Chair of Artificial Intelligence (Prof. Heiner Stuckenschmidt), which will also involve close collaboration with project partners at the Department of Political Science (Prof. Dr. Nicole Rae Baerg, Prof. Dr. Thomas Gschwend), ranked as the best Political Science Department in Germany in different national and international university rankings. The student will be located at the Data and Web Science Group (DWS) of the University of Mannheim, one of leading centers for Data Science in Germany.
 
  
−
We are particularly interested in candidates with a background in one or several of the following areas:
 
  
−
* statistical semantics and discourse processing
+
== Three fully funded PhD Positions in Statistical Natural Language Processing in CUNY (at Manhattan, NYC) ==
−
* machine learning and natural language processing
 
−
* discourse analysis
 
−
* automated text-based scaling
 
  
−
Applicants should have a Masters degree (or obtain it in the near future) in Computer Science, Natural Language Processing, Machine Learning or Social Science and have previous experience in applying human language technology.  
+
Employer: Department of Computer Science at Hunter College, University of New York
 +
Title: fully-funded PhD position
 +
Specialty: NLP
 +
* Location: Manhattan, NYC, NY
 +
* Deadline: Open until filled
 +
* Date posted: 6th November 2016
 +
* Contact:  [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]
  
−
'''Duration:''' initially one year (starting in Fall 2015) with possible extension to 3-5 years.
 
−
'''Salary range:''' according to German public scale TV-L 13 100% (full time, ranging between 3200,- and 4.600,- Euro before taxes depending on qualification).
 
  
−
Applications can be made per e-mail (sfb884@informatik.uni-mannheim.de) and should include a short research statement, CV, copy of university degrees and transcripts and - if available - a copy of the master thesis, as well as list of publications and published software. Further information about the groups can be found at http://dws.informatik.uni-mannheim.de/. All documents should be e-mailed as a single PDF. All applications sent before '''September, 15 2015''' will receive full consideration. The positions remain open until filled.
+
The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for fully-funded PhD student positions starting in 2017. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.
  
−
The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.
+
Applicants should hold by the time that begin their PhD studies a BSc, BEng (or its equivalent) in Computer Science, Linguistics, Computer Engineering, Statistics, Mathematics, Physics or related disciplines. We are seeking for very motivated students with enthusiasm and dedication in conducting cutting-edge research in statistical methods over massive amounts of data. Natural Language Processing is the prototypical domain where Machine Learning and Big Data are required to come together.
  
−
Please contact Simone Paolo Ponzetto (simone(At)informatik(DoT)uni-mannheim(DoT)de) and Heiner Stuckenschmidt (heiner(At)informatik(DoT)uni-mannheim(DoT)de) for informal enquiries.
+
The typical duration of the PhD program is from 3 to 4 years.  
  
 +
The Hunter College at the City University of New York asks that the PhD candidate should take up two teaching assistantships per year. The admitted student will be offered to have the tuition fees covered and also stipend sufficient to cover the living cost.
  
 +
Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for internships and collaboration. Hunter college is surrounded by top research labs, such as Google Research, Microsoft Research, Facebook, and IBM Research.
  
 +
Application material: CV and optionally a statement of purpose letter, GRE, and TOELF/IELTS results. Applications should be sent to Dr. Jia Xu by email to: Jia.Xu@hunter.cuny.edu including in the Subject title the keyword: “PhD".
  
 +
All applicants will be notified upon receipt of the application by email.
  
−
== Postdoctoral Fellow in NLP for EEG Analysis at Temple University ==
+
This position will be advertised at http://jiaxu.org until the position is filled.
−
* Employer: The Neural Engineering Data Consortium, College of Engineering, Temple University
 
−
* Title: Postdoctoral Research Fellow
 
−
* Topics: Natural Language Processing, Machine Learning, Big Data, EEG Analysis
 
−
* Location: Philadelphia, PA
 
−
* Deadline: Open until filled
 
−
* Date Posted: August 12, 2015
 
−
* Contact: Joseph Picone (joseph.picone@gmail.com)
 
  
−
'''Research focus''': The Neural Engineering Data Consortium (NEDC) at Temple University invites applications for a Postdoctoral Fellow position in the area of automated EEG analysis. The Postdoctoral Fellow will contribute to a project that enables comparative research by automatically uncovering clinical knowledge from a vast BigData archive of clinical EEG signals and EEG reports collected over the past 14 years at Temple University Hospital (see www.isip.piconepress.com/projects/tuh_eeg for more information). We are developing a proof-of-concept based on the discovery of patient cohorts and provide an annotated BigData archive as well as the software that enabled the annotations and the generation of the patient cohort retrieval system. The candidate will be involved in overseeing the generation of labeled data for machine learning training, developing algorithms to automatically uncover and model structure based on deep
+
Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.
−
learning principles, implementing an active learning approach that minimizes the amount of labeled data needed and supervising research to automatically extract medical concepts from EEG reports. A large portion of the project focuses in extraction of information from unstructured text, and hence, expertise in natural language processing is important.
 
  
−
'''Supervisor''': Iyad Obeid, PhD and Joseph Picone, PhD
 
  
−
'''Required skills''': The candidate’s primary expertise will be in natural language processing and/or computational linguistics. Proficiency in machine learning and big data techniques is highly desirable. Software engineering experience is also desired.
 
  
−
'''Education''': A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.
+
== Funded PhD Position in Natural Language Processing in Barcelona ==
  
−
'''Length of appointment''': This position is for three years.
+
* Employer: Department of Information and Communication Technologies at Universitat Pompeu Fabra
 +
* Title: PhD studentship position
 +
* Specialty: NLP
 +
* Location: Barcelona, Spain
 +
* Deadline: August 8th, 2016 (or until filled)
 +
* Date posted: 29th July 2016
 +
* Contact:  [mailto:horacio.saggion@upf.edu Prof. Horacio Saggion]
  
−
'''Available''': October 1, 2015.
 
  
−
'''Compensation''': $42,000/year (NIH standard scale applies).
+
The Department of Information and Communication Technologies  at Universitat Pompeu Fabra in Barcelona, Spain, invites applications for a  PhD studentship position that is associated with the María de Maeztu Units of Excellence Research Program of the Spanish Government  (http://www.upf.edu/mdm-dtic), and involves joint work of the research labs of profs. Horacio Saggion and Ricardo Baeza-Yates. This position will be funded under the FPI call to be launched by the Spanish Ministry of Economy and Competitiveness.
  
−
'''To apply''': Send a CV and cover letter to joseph.picone@gmail.com (see http://www.isip.piconepress.com/images/memorabilia/temple/20150811_postdoc/postdoc_announcement_v00.pdf for more details)
+
Project Description
  
 +
In the context of our Maria de Maeztu (MdM) project "Mining the Knowledge of Scientific Publications"  ( see  http://www.upf.edu/mdm-dtic) the PhD student will carry out a research project on the more focused area of automatic research paper assessment which concerns a number of interesting research questions including but not limited to:
  
−
== Postdoctoral Fellow in Sentiment Analysis at McMaster University ==
+
* automatic research paper evaluation
−
* Employer: Department of Linguistics, Department of Computing and Software, McMaster University
+
* automatic research paper/author impact prediction
−
* Title: Postdoctoral Research Fellow
+
* automatic novelty evaluation
−
* Topics: Sentiment Analysis, Natural Language Processing
 
−
* Location: Hamilton, ON, Canada
 
−
* Deadline: Open until filled
 
−
* Date Posted: July 24, 2015
 
−
* Contact: Victor Kuperman (vickup@mcmaster.ca)
 
  
−
'''Research focus''': Successful applicants will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.
+
The PhD will benefit from the resources developed during MdM project: availability of large scale open scientific repositories, natural language processing technology adapted to scientific text processing, document retrieval technology, etc. as well as the expertise of the MdM team members.
  
−
'''Supervisor''': Victor Kuperman, PhD, Fei Chiang, PhD
+
Applicants
  
−
'''Required skills''': The candidate’s primary expertise will be in natural language processing, sentiment analysis, and/or computational linguistics. Proficiency in machine learning techniques is highly desirable.
+
Candidates should hold a M.Sc. in Computer Science or related field with a solid background in Natural Language Processing and be proficient in spoken and written English. Experience with recent advances in Machine Learning and Information Retrieval would be highly valuable. Knowledge of statistical analysis is highly desirable.
  
−
'''Education''': A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.
+
More information
  
−
'''Length of appointment''': This position is for two years.
+
For informal inquiries, prospective candidates may contact professor Horacio Saggion at horacio DOT saggion AT upf DOT edu
  
−
'''Available''': August 1st, 2015.
+
For more information please check the official announcement at
  
−
'''Compensation''': $50,000/year.
+
https://portal.upf.edu/web/etic/automatic-research-assessment?p_p_id=56_INSTANCE_MaAxd6TFfhia&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=1
  
−
'''To apply''': see application procedure at http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf
+
==  Research Fellow in Biomedical Text Mining, University of Manchester, UK ==
 +
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
 +
*Title: Research Fellow
 +
*Speciality: Natural Language Processing, Text Mining
 +
*Location: Manchester, UK
 +
*Deadline: August 13, 2016
 +
*Date posted: July 18, 2016
 +
*Contact: sophia.ananiadou@manchester.ac.uk
  
 +
Applications are invited for a postdoctoral research fellow in Biomedical Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.
  
 +
The objective of this BBSRC funded post in collaboration with Unilever is to conduct research into extracting complex information from the scientific literature to support metabolic pathway curation using text mining methods.
  
−
== Postdoctoral Fellow in Natural Language Processing at Brigham and Women's Hospital / Harvard Medical School ==
+
Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in information extraction at large scale; excellent knowledge in developing and adapting algorithms for text mining systems; machine learning; experience in biomedical Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, etc., and in high quality journals; excellent programming skills; proven ability to develop independently research proposals.
−
* Employer: Brigham and Women's Hospital / Harvard Medical School
+
 
−
* Title: Postdoctoral Research Fellow
+
* Duration of post: until 31st March 2018 with possibility of extension
−
* Topics: Natural Language Processing
+
* Salary: £38,896 to £47,801 per annum
−
* Location: Boston, MA
 
−
* Deadline: Open until filled
 
−
* Date Posted: July 11, 2015
 
−
* 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 open-source natural language processing framework software and high-dimensional predictive models that utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.
+
'''Research Environment '''
  
−
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
+
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.
 +
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".
  
−
'''Required skills''': strong programming and system development skills; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills. Experience in programming in Perl and .NET and experience with natural language processing and medical terminologies / ontologies is a strong plus.
+
The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.
 +
More information about the project: http://www.nactem.ac.uk/empathy/
  
−
'''Education''': PhD in computer science, biomedical informatics, linguistics, or related discipline, MD or an equivalent degree.
+
Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).
  
−
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
+
Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=11856
  
−
'''Available''': August 1st, 2015.
+
== Computational Linguist-Morphology ==
  
−
'''Compensation''': according to NIH (NRSA) stipend levels.
+
* Employer: [http://www.edcknowledge.com/ 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: [mailto:jlay@edcknowledge.com. Jim Lay]
  
−
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.
 
  
 +
EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.
  
−
== Data Scientist - Unstructured Data at Civis Analytics ==
+
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.
−
* Employer: [https://civisanalytics.com Civis Analytics]
 
−
* Title: Data Scientist - Unstructured Data
 
−
* Topics: Natural Language Processing,  Machine Learning, Deep Learning, Big Data Analytics, Computer Vision, Speech Processing, Algorithm Development
 
−
* Location: Chicago, IL
 
−
* Deadline: Open until filled
 
−
* Date Posted: June 23, 2015
 
−
* Apply Online: [https://civisanalytics.com/careers civisanalytics.com/careers]
 
−
* Questions: apply@civisanalytics.com
 
  
 +
''Qualifications''
  
−
'''Who We Are'''
+
*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.
  
−
Civis Analytics is building a data-driven world. We create technologies that empower organizations to unlock the truth hiding in their own data—transforming them into smart organizations that are ready to thrive.
+
*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.
  
−
While our history is rooted in political campaign targeting, we’re now partnering with intelligent organizations in healthcare, media, education, and a range of other domains. We’re also building cloud-based products to do data science better.
+
*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.
  
−
We're solving the world's biggest problems with big data. Through research, experimentation, and iteration, we’re transforming how organizations do analytics. Our clients range in scale and focus from local to international, all empowered by our individual-level, data-driven approach.
+
*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.
  
−
Our incredible team of engineers, statisticians, researchers, and solution seekers come from all over the world with diverse backgrounds in Fortune 500 companies, international non-profits, Ivy League academia, and even actual rocket science.
+
*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.
  
−
'''Why should you join our team?'''
+
''Applicants must be United States citizens able to acquire a personal security clearance.''
  
−
We are already hard at work on solving the world’s toughest problems with Big Data – working with organizations to analyze and understand their individual level data to improve outcomes and implement organizational change. We use cutting edge data science techniques, and we want to continue be on the forefront of innovation in our field.
+
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".
  
−
We are ''smart'', ''fun'', and ''a little bit weird''. ''Does this sound like you?''
+
== Computational Linguist ==
  
−
'''Position Overview'''
+
* 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]
  
−
The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research.
 
  
−
As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas. With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.
+
EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.
  
−
We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
+
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.  
  
−
'''Requirements'''
+
''Qualifications''
  
−
'''MINIMUM 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).
  
−
* Bachelor’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering
+
*Within the last 10 years shall have a minimum of 7 years experience each programming:  C, C++, or Java.
−
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision
 
−
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
 
−
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
 
−
* Experience with SQL databases
 
−
* Strong programming skills
 
−
* Experience identifying and correcting for problems in imperfect data
 
−
* An ability and eagerness to constantly learn and teach others
 
  
−
'''PREFERRED QUALIFICATIONS'''
+
*Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).
  
−
* Master’s degree in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
+
*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.
−
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
 
−
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
 
−
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
 
  
−
'''How to Apply'''
+
*A minimum of 5 years experience with two or more foreign languages is required.
  
−
Apply online at: [https://civisanalytics.com/careers civisanalytics.com/careers]
+
*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.
  
−
== Postdoctoral Fellow in NLP at University of Pennsylvania ==
+
''Applicants must be United States citizens able to acquire a personal security clearance.''
−
* Employer: Dept. of Computer and Information Science, University of Pennsylvania
 
−
* Title: Postdoctoral Researcher
 
−
* Topics: Natural Language Processing, Unsupervised Learning
 
−
* Location: Philadelphia, PA
 
−
* Deadline: Open until filled
 
−
* Date Posted: June 19, 2015
 
−
* Contact: Mitch Marcus (mitch@cis.upenn.edu)
 
  
−
'''Job Description'''
+
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".
  
−
Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania. This is a full time position for 24 months, starting immediately.
+
== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==
 +
* 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]
  
−
The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora.  The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years, and we intend to shamelessly exploit them all.
 
  
−
The candidate will work under the supervision of Profs. Mitch Marcus and Lyle Ungar in Computer and Information Science and Prof. Charles Yang in Linguistics.
+
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'''
+
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.
  
−
The candidate should have a very strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science with a good publication record. Experience in machine learning, good programming skills, and a good knowledge of modern linguistics are required.
+
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.
  
−
'''How to Apply'''
+
This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):
  
−
Please email your CV and the names and contact information of three or more references to Mitch Marcus at the email provided above.  
+
* 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''.
  
−
== Postdoctoral Fellow in Machine Learning/Computational Linguistics for Child Language Acquisition ==
+
'''Salary range''': £28,847 to £46,414 per annum.
−
* Employer: University of Liverpool
 
−
* Title: Post-doctoral fellow
 
−
* Topics: machine learning, computational linguistics, corpus linguistics, algorithm development, deep learning, speech processing
 
−
* Deadline: 28th August 2015
 
−
* Date Posted: 2nd June 2015
 
−
* Apply: http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-588063/
 
  
−
'''Job Description'''
+
For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk
  
−
We are recruiting for post-doctoral fellow to work on the application of machine learning/computational linguistic techniques to child language acquisition.
+
For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018
  
−
You should have a PhD in Computer Science/Engineering/Linguistics/Psychology and have experience with machine learning algorithms applied to language data and have published your work in conference proceedings or journals. Experience with auditory speech processing, deep learning, cloud computing, and GPU programming is desirable. The post is available for 2 years.
 
  
−
The computational community has developed a wealth of algorithms that can automatically discover linguistic units and dependencies between these units and these algorithms have been applied to language parsing and generation. In contrast, child language researchers often study child language using human coding of detailed linguistic information. The goal of this project is to develop a bridge between these two approaches. Machine learning techniques would give child language researchers ways to pull out relevant utterances that could be subject to greater processing. Child language analyses could be compiled into test sets that could be used to evaluate machine learning algorithms. In this post, you will develop machine learning algorithms for child language and also develop a web site that will enhance the ability of machine learning researchers and child language researcher to share data and algorithms.  The research topics and approaches are open to negotiation.  Children have some of the most advance language learning algorithms and understanding how they learn language could lead to new insights for computational approaches to language.
 
  
−
This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the new ESRC International Centre for Language and Communicative Development, a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster.
+
== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==
  
−
More information is available here:
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
−
https://sites.google.com/site/sentenceproductionmodel/news
+
* Title: Doctoral researcher
 +
* Specialty: NLP
 +
* Location: Darmstadt
 +
* Deadline: July 10, 2016
 +
* Date posted: June 10, 2016
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]
  
−
==Postdoctoral Fellow and Software Engineer postions in biomedical natural language processing, machine learning and biomedical informatics==
+
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.
−
* Employer: UMass Medical School Worcester
 
−
* Title: Post-doctoral fellow or Software Engineer
 
−
* Topics: Biomedical natural language processing, machine learning, bioinformatics, algorithm development, big data analytics
 
−
* Deadline: until filled
 
−
* Date Posted: 24 May 2015
 
−
* apply by contacting elaine.freund@umassmed.edu
 
  
−
'''Job Description'''
+
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:
  
−
We are recruiting for multiple positions at levels from Post Doctoral Fellow to Software Engineer to participate research and software development in biomedical natural language processing (NLP) and biomedical informatics.  The group’s research (http://www.bio-nlp.org/index.php/projects) involves developing algorithms and tools for gathering, analyzing and interpreting heterogeneous data from multiple sources both clinically and research related. Recruits will lead development efforts in web service tools and search engines that: retrieve and summarize big data in biomedical domain, automatically extracting information from pdf files and extracting text from images, integrate novel biomedical text mining algorithms into the web tools and search engines to enable intelligent semantic search, and mining electronic health record data for pharmacovigilance.  
+
# 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.
 +
# 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.
 +
# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").
  
−
If you are highly motivated and passionate about research in big data processing or software engineering or have in-depth knowledge and hands on implementation experience with web service tools and are interested in learning more about us, please contact elaine.freund@umassmed.edu with your resume or CV and a cover letter.  
+
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.
  
−
General Summary of Postdoc Fellow Position: PhD in Computer Science, computational linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.  
+
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.
  
−
General Summary of Software Engineer Position:
+
Possible dissertation topics include:
−
Under the direction of the Faculty or designee, the Software Engineer I assists with the design, development, implementation and integration of web service tools, search engines, utilities, applications and enhancements in a complex medical/academic research computing environment.
+
* 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
  
−
==Research Scientist in natural language processing, machine learning, knowledge discovery, data analytics at IBM Research-Almaden==
+
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].
−
* Employer: IBM Research
 
−
* Title: Research Scientist
 
−
* Topics: Nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics
 
−
* Location: San Jose, California, USA
 
−
* Deadline: 1 June 2015
 
−
* Date Posted: 6 May 2015
 
−
* Online application: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0751127
 
  
−
'''Job Description'''
+
'''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]
  
−
IBM Research - Almaden is looking for researchers to join the Natural Language Processing (NLP), Entity Resolution and Discovery (NERD) Department. Our research focuses include high-value content creation from variety of public and third-party data sources, scalable and usable analytics tools for individual stages in analyzing such data sources, such as text analytics, entity resolution, large-scale machine learning, techniques and methods for scalable and flexible indexing and querying support over enriched content, and consumable interfaces for accessing such data sources, including natural language interfaces. An example project is SystemT (http://ibm.co/1Cdm1Mj).
+
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.
  
−
We are currently looking for a Research Staff Member to conduct research with large scale real-world heterogeneous data in the area of advanced analytics, such as nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics. This role generates highly novel ideas, both theoretical and experimental, in a specific engineering or scientific discipline and invents and designs complex products and processes. This position may be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their design and development. The full cycle of innovation to delivery is typically a multiple-year effort.
+
'''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.
  
−
The candidate is also responsible for internally and externally disseminating the results of such activities through publications, patent disclosures, seminar participation, technical documentation, etc. The candidate represents IBM at professional conferences, in professional societies and universities and functions as an internal consultant in the areas of professional expertise.
+
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.
  
−
'''Required'''
+
'''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.
  
−
* Master's Degree
+
We look forward to receiving your application!
−
* At least 1 year experience in developing advances in Computer Science disciplines
 
−
* At least 1 year experience in performing Scientific Research
 
−
* English: Intermediate
 
  
−
'''Preferred'''
+
== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==
  
−
* Doctorate Degree in Information Technology
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany
−
* At least 3 years experience in developing advances in Computer Science disciplines
+
* Title: Doctoral researcher
−
* At least 3 years experience in performing Scientific Research
+
* Specialty: NLP
−
* English : Fluent
+
* Location: Darmstadt and/or Heidelberg, Germany
 +
* Deadline: June 30, 2016
 +
* Date posted: June 6, 2016
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
  
−
'''Additional Information'''
+
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 World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.
+
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.  
−
 
−
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
 
  
 +
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.
  
−
==PhD position in statistical language modelling==
+
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.  
−
* Employer: Cardiff University
 
−
* Title: PhD scholarship
 
−
* Topics: Statistical language modelling, relation extraction, social media
 
−
* Location: Cardiff, UK
 
−
* Deadline: 1 June 2015
 
−
* Date Posted: 7 April 2015
 
−
* Online application: http://courses.cardiff.ac.uk/funding/R2497.html
 
  
−
'''Job Description'''
+
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.
  
−
Applications are invited for a PhD Scholarship at the Cardiff School of Computer Science & Informatics in the area of statistical language modelling. Specifically, the aim of the project will be to develop methods for modelling the meaning of natural language terms, based on data from social media and other web sources. For example, by analysing the tags associated with Flickr photos, the developed methods will be able to learn that a church is a kind of building, that churches tend to be larger than typical buildings and that chapels are similar to churches. The results of this project will be used to improve methods from artificial intelligence for commonsense reasoning, and will among others enable more intelligent web search engines.
+
'''Prerequisites'''
  
−
'''Funding and eligibility'''
+
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.
  
−
This studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£14,057 p.a. for 2015/16, updated each year). This studentship is open to students of any nationality. Students classified as international for fee purposes have to self-fund the difference between home and international fees.
+
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.  
  
−
Candidates should:
+
Applications should include:  
  
−
* either have (or expect to have by Autumn 2015) a good honours degree in a relevant discipline (minimum 2:1);
+
* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,
−
* or have a masters degree with distinction in the research dissertation in a relevant discipline;
+
* a CV with information about the applicant’s scientific work,
−
* or have professional qualifications deemed by Cardiff University to be equivalent to the above;
+
* certifications of study and work experience,
−
* or be over 25 and have relevant work experience in a position of responsibility.
+
* as well as a thesis or other publications in electronic form.
  
−
The methods will rely heavily on methods from statistics and linear algebra, hence a strong background in mathematics will be required, in addition to excellent programming skills. A strong mathematical background and excellent programming skills will also be required.
+
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].  
  
−
Applicants are particularly welcomed from candidates with a background in computer science.
+
== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==
  
−
If your first language is not English you must provide evidence of competence in English. Our standard requirement is an overall IELTS result of at least 6.5, with a minimum of 6.5 in writing, and a minimum of 6.0 in speaking, listening and reading.
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Full Professor
 +
* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP
 +
* Location: Darmstadt, Germany
 +
* Deadline: July 6, 2016
 +
* Date posted: June 1, 2016
 +
* 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)
  
−
'''Further information'''
+
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.
  
−
For further information and instructions on how to apply, please see http://courses.cardiff.ac.uk/funding/R2497.html
+
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.  
  
−
==Postdoctoral Researcher in NLP at U.S. Army Research Lab==
+
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.
−
* Employer: U.S. Army Research Lab, Adelphi Laboratory Center
 
−
* Title: Postdoctoral Researcher
 
−
* Topics: Natural Language Processing
 
−
* Location: Adelphi, MD, USA
 
−
* Deadline: Open until filled
 
−
* Date Posted: March 17, 2015
 
−
* Contact: Dr. Stephen Tratz (stephen.c.tratz.civ@mail.mil)
 
  
−
'''Job Description'''
+
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.
  
−
The Multilingual Computing Branch (MLCB) at the U.S. Army Research Laboratory's Adelphi Laboratory Center, located in the Washington, D.C. metro area, is seeking to hire new post-doctoral fellows. MLCB has several ongoing efforts in computational linguistics/natural language processing, including active projects in machine translation, human-robot communication, and social media analysis. The branch is also pursuing new interdisciplinary initiatives to address the language processing challenges in cyber-security and video analytics.
+
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.
  
−
Candidates should have substantial research experience in machine learning methods (e.g., deep neural networks) as applied to emerging areas involving computational linguistics. Areas of interest include:  text/video analytics, computational social science, machine translation, domain adaptation, data selection, low-resource language processing, morphologically complex languages, knowledge representation and reasoning, spoken language interfaces and dialogue, and multimedia processing.
+
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.
  
−
The lab encourages external collaboration and maintains multiple partnerships with universities and research institutions, which enable faculty and student exchanges as well as joint research and publishing (http://www.arl.army.mil/www/default.cfm?page=93). ARL’s new open campus initiative is attracting national and international partners from academia and industry to work with ARL scientists and engineers in areas of common research interest (see http://www.arl.army.mil/www/default.cfm?page=2357), and ARL researchers have begun releasing open source code via GitHub (see http://www.army.mil/article/141734/Army_cyber_defenders_open_source_code_in_new_GitHub_project/).  ARL facilities include multiple high-end supercomputing clusters with over 10,000 cores and capable of at least 350 TFlops.  
+
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.
  
−
'''Requirements'''
+
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).
  
−
* Ph.D. or equivalent research experience in computer science, statistics, mathematics, or related field
+
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'''.
  
−
'''How to Apply'''
+
For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de
  
−
If interested, please email your CV and the names and contact information of three or more references to Dr. Stephen Tratz at the email provided above.
+
==NLP Postdoctoral Researcher at UNSW, Australia==
  
−
==Postdoctoral Researcher in NLG for Narrative==
+
* Employer: The University of New South Wales, Australia
−
* Employer: Liquid Narrative Group, North Carolina State University
+
* Title: Research Associate/Fellow
−
* Title: Postdoctoral Research Scholar
+
* Specialty: NLP, Knowledge Graph
−
* Topics: Natural Language Generation, Narrative Generation, Knowledge Representation, AI Planning
+
* Location: Sydney, Australia
−
* Location: Raleigh NC, USA
+
* Deadline: June 6th, 2016
−
* Deadline: Open Until Filled
+
* Date posted: May 14th, 2016
−
* Date Posted: March 10, 2015
+
* Contact: Wei Wang (weiw@cse.unsw.edu.au)
−
* Online Application: http://jobs.ncsu.edu/postings/40524
 
  
−
'''Job Description'''
+
'''POSITION DESCRIPTION'''
  
−
The Liquid Narrative group at North Carolina State University is seeking a postdoctoral researcher to collaborate on a large-scale narrative generation project. The goal of this project is to build computational tools for the use of narrative in sense-making tasks. Research thrusts include the creation of formalisms for representing story and discourse knowledge and the development of narrative generation algorithms able to create multiple narrative discourses from a given story, adapt these discourses to an audience, and elicit different effects such as surprise or suspense. This project aims at creating a large-scale narrative-generation system that can extract story data from various sources (e.g., video game logs) and create narratives in and across several media such as text, animated movies or maps.
+
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.
  
−
The postdoctoral researcher will contribute to the design and development of narrative generation and summarization technologies, focusing on the microplanning aspect of text generation. In particular, he or she will extend an existing narrative discourse generation prototype that outputs basic sentences using the SimpleNLG library. Our aim is to update this architecture by integrating an NLG system such as FUF/Surge, KPML or RealPro. To improve the quality of the generated text, the postdoctoral researcher will work on topics such as: aggregation, generation of referring expressions, discourse markers insertion, lexical choice and/or other aspects of realization that are specific to narrative as a genre.
 
  
−
He/she may also participate in research efforts on the automated generation of multimedia presentations involving text, video and maps. He/she is expected to collaborate in performing scientific evaluations of the systems, and in writing academic research papers.
+
'''POSITION REQUIREMENTS'''
  
−
'''Requirements'''
+
Essential criteria:
  
−
The applicant must hold a PhD degree, preferably in the area of computational linguistics or natural language generation. He/she should have:
+
* 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.
−
* Experience with developing NLG systems
+
* Excellent programming skills (java or C/C++).
−
* Excellent software-design and problem-solving skills
+
* 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.
−
* Good programming skills
+
* Proven ability to communicate specialist ideas clearly in English using written media.
−
* Excellent written and oral communication skills
+
* 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.
  
−
Experience in the following areas would be a plus:
 
−
* Automated discourse planning technologies
 
−
* Dialogue generation
 
  
−
'''Position details'''
+
Desirable criteria:
  
−
This is a full-time position.
+
* Knowledge of statistical natural language processing.
−
Expected start date is April 1, 2015 and the initial funding for the position runs through December 31, 2015. The position may be extendable depending on availability of funds.
+
* Knowledge of knowledge graph construction and applications.
 +
* Experience with analysing large text corpora using a high-performance computing environment.
 +
* Experience with python/R
  
−
Interested candidates should view the official Human Resources posting and submit applications through the NC State University HR web page at http://jobs.ncsu.edu/postings/40524
 
  
−
NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.  Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.
+
'''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)
  
−
==PhD-level Researchers in Language Technology or Computational Linguistics==
+
This is a fixed term position of one year with further renewal up to January 2019, subject to funding.
−
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
+
−
* Title: PhD-level Researchers in Language Technology or Computational Linguistics
 
−
* Topics: Natural Language Processing, Summarization, Opinion Mining
 
−
* Location: Darmstadt (Germany)
 
−
* Deadline: open until the position is filled
 
−
* Date Posted: March 4, 2015
 
−
* Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de
 
  
−
'''Job Description'''
+
'''ENVIRONMENT'''
  
−
The newly established Research Training Group „[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:
+
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).
  
−
PhD-level Researchers in Language Technology or Computational Linguistics
 
  
−
The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
+
'''APPLICATION'''
  
−
* A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
+
Please send a statement of interest, an academic CV (in pdf format) to Wei Wang
−
* B1: Structured summaries of complex contents (TU Darmstadt)
+
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For
−
* B2: Content selection based on linked lexical resources (TU Darmstadt)
+
informal queries, please send an email to weiw@cse.unsw.edu.au.
−
* D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
 
−
* D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)
 
−
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 on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.
 
  
−
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann), Multimedia Communications (Dr. Rensing). 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 will emphasize close contact between students and their advisors, have 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 will actively support 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.
 
  
−
'''Requirements'''
 
  
−
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. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.
+
==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==
  
−
Applications should include
+
* Employer: University of Pennsylvania
 +
* Title: Postdoctoral Researcher
 +
* Specialty: NLP
 +
* Location: Philadelphia, PA
 +
* Deadline: May 15th, 2016
 +
* Date posted: April 26th, 2016
 +
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu
  
−
* a motivational letter that refers to one of the above listed guiding themes,
+
'''Summary'''
−
* 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 March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.
 
  
 +
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.
  
−
==Research staff position in Natural Language Processing==
+
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.
−
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 
−
* Title: Research staff position in Natural Language Processing
 
−
* Topics: Natural Language Processing, Question Answering
 
−
* Location: Darmstadt (Germany)
 
−
* Deadline: open until the position is filled
 
−
* Date Posted: March 4, 2015
 
−
* Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de
 
  
−
'''Job Description'''
 
  
−
The [https://www.ukp.tu-darmstadt.de Ubiquitous Knowledge Processing Lab] (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic [https://www.ukp.tu-darmstadt.de/research/current-projects/qa-eduinf research project] conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.
+
Approximate Start Date: Summer 2016
  
−
The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.
 
  
−
'''Requirements'''
+
'''How to Apply'''
  
−
We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.
+
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.  
  
−
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged.  All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.
 
  
  
−
==PhD-position in NLP/Text Mining==
 
−
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 
−
* Title: PhD-position in NLP/Text Mining
 
−
* Natural Language Processing, Text Mining
 
−
* Location: Darmstadt (Germany)
 
−
* Deadline: open until the position is filled
 
−
* Date Posted: March 4, 2015
 
−
* Contact:  Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)
 
  
−
'''Job Description'''
+
==Research Scientist, Natural Language Processing==
  
−
The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).
+
* 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])
  
−
Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.
+
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.
  
−
'''Requirements'''
+
'''Summary'''
  
−
Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.
+
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.
  
−
The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.
+
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.
  
−
Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.
+
'''Responsibilities'''
  
−
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.
+
* 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.
  
−
Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de
+
'''Skills'''
  
−
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.  
+
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 Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.
+
'''Benefits'''
  
−
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
+
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.
  
−
*Employer:  University of Notre Dame
+
'''How to Apply'''
−
*Job Number:  4015639
 
−
*Date Posted:  02/17/2015
 
−
*Application Deadline: Open Until Filled
 
−
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
 
  
−
'''Job Description'''
+
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]
  
−
The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.
+
'''Contact'''
  
−
The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.
+
EMR.AI Inc.
  
−
The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.
+
90 New Montgomery St
  
−
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.
+
San Francisco, CA 94105, USA
  
−
'''Required'''
+
phone: +1-415-200-8535
  
−
(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas
+
e-mail: [mailto:info@emr.ai info@emr.ai]
  
−
'''Desired'''
+
www: [http://emr.ai http://emr.ai]
  
−
(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students
 
  
−
For more information see the application link above.
 
  
−
== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
+
==Research Scientist on Natural Language Processing==
−
*Employer: Macquarie Group
 
−
*Title: Software Engineer/NLG Specialist
 
−
*Specialties: Natural Language Generation, Application Development, Linguistics
 
−
*Location: Sydney, Australia
 
−
*Date posted: 29 January 2015
 
−
*Contact information: andy.logan@macquarie.com
 
−
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research
 
  
−
'''Job Description'''
+
* Employer: IBM Research Ireland
−
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
+
* Title: Research Scientist
−
*New Systems Implementation with Opportunity to push the envelope within Research
+
* Specialty: NLP, Machine Learning
−
*Permanent Opportunity – Sydney CBD Location
+
* 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]
  
−
'''About the role'''
 
  
−
We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.  
+
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.
  
−
'''Key Responsibilities'''
+
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.
−
*Design and Develop our first NLG/NLP Application within Equities Research
+
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.
−
*Work closely with the vendor to understand the application limitations and functionality
 
−
*Drive the development with the Head of Research as well as industry analysts
 
−
*Mature the offering and look for further areas of development within the business
 
  
−
'''About You'''
 
  
−
To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:
+
==Postdoc Researcher on Vision and Language==
  
−
*Tenacity to produce different If Statements and to develop the platform further
+
* Employer: University of Liverpool
−
*Strong interest in Artificial Intelligence/Machine Based Learning.
+
* Title: Postdoc
−
*Keen interest in finance
+
* Specialty: Computer Vision with an interest in human vision/language behaviour
−
*Self Starter and strong attention to detail to really drive uptake of the platform
+
* 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]
  
−
This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''
+
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.
  
−
If you meet the above requirements, please apply via the following link.  Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''
+
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 Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
 
−
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
 
−
*Title: PostDoc
 
−
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
 
−
*Location: Heidelberg, Germany
 
−
*Deadline: 20 February 2015
 
−
*Date posted: 29 January 2015
 
−
*Contact information: michael.strube (at) h-its.org
 
−
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1
 
  
−
'''Job Description'''
+
==Postdoc Positions at Johns Hopkins University==
−
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
 
  
−
One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.
+
* 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/]
  
−
The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.
+
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.
  
−
HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.
+
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
  
−
The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.
+
Host faculty include:
 +
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria
  
−
To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)
 
  
−
Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).
+
==Associate/Full Professor in Computational Linguistics at Stony Brook University==
 +
* Employer: Department of Linguistics, Stony Brook University
 +
* Title: Associate/Full Professor
 +
* Specialty: Computational Linguistics
 +
* Location: New York, USA
 +
* Deadline: <strike>March 14, 2016</strike> May 1, 2016
 +
* Date posted: February 17, 2015
 +
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]
 +
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]
  
 +
'''Job Description'''
  
−
==Postdoc position in Cardiff (NLP, IR, machine learning)==
+
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.
−
*Employer: Cardiff University
 
−
*Title: Postdoc
 
−
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
 
−
*Location: Cardiff, UK
 
−
*Deadline: 3 February 2015
 
−
*Date posted: 9 January 2015
 
−
*Contact information: SchockaertS1@cardiff.ac.uk
 
  
−
'''Job Description'''
+
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.
  
−
Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.
+
They will also be expected to
  
−
The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.
+
* 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.
  
−
'''Essential criteria'''
+
Salary will be commensurate with education and experience.
  
−
*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
+
'''Application'''
−
*Excellent programming skills (java or C/C++).
 
−
*A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data  Engineering).
 
−
*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.
 
  
−
'''Desirable criteria'''
+
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]
  
−
*Knowledge of statistical natural language processing.
 
−
*Knowledge of unsupervised and semi-supervised learning.
 
−
*Knowledge of relation extraction.
 
−
*Experience with analysing large text corpora using a high-performance computing environment.
 
−
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.
 
  
−
'''More information'''
+
==Research Scientist at the Allen Institute for Artificial Intelligence==
−
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.
 
  
−
==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
+
* Employer: Allen Institute for Artificial Intelligence (AI2)
−
*Employer: Allen Institute for Artificial Intelligence (AI2)
+
* Title: Research Scientist
−
*Title: Post-doc/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
−
*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
−
*Location: Seattle, WA
+
* Deadline: N/A, we are hiring throughout 2016
−
*Deadline: N/A, we are hiring throughout 2015
+
* Date posted: 02/09/2016
−
*Date posted: 12/9/2014
+
* Contact information: ai2-info@allenai.org
−
*Contact information: ai2-info@allenai.org, allenai.org
+
* Website: http://allenai.org/jobs.html
  
 
'''Job Description'''
 
'''Job Description'''
−
 
+
−
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni.  The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and 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.  
+
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'''
 
'''Position Summary'''
  
 
AI2 currently has projects in the following areas:
 
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
 
−
*Diagram understanding
 
  
−
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 the 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.
+
* 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'''
 
'''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, or question answering and explanation.  We look favorably upon extensive work experience demonstrating application of your research.
+
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'''
 
'''Application Process'''
  
−
All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.
+
Visit our website for more information: http://allenai.org/jobs.html
 +
 
  
 +
==Software Engineer  - Machine Learning / NLP (Chinese) at SYSTRAN==
  
−
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
+
* Employer: SYSTRAN
−
* Employer: The Ohio State University
+
* Title: Software Engineer
−
* Title: Assistant/Associate/Full Professor
+
* Topics: Machine Learning, Natural Language Processing, Machine Translation
−
* Specialty: open, two positions in Data Analytics
+
* Location: San Diego
−
* Location: Columbus, OH, USA
+
* Deadline: Open until filled
−
* Deadline: January 31, 2015 (Consideration starts November 2014)
+
* Date Posted: January 29, 2016
−
* Date Posted: November 17, 2014
+
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na
−
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi
 
  
−
The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.
+
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.
  
−
Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.
+
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.
  
−
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
+
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.
  
−
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
+
'''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
  
−
To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
+
'''Education and Experience'''
 +
* MS or Ph D  in Computational Linguistics / Computer Science or relevant field.
 +
* 2+ years work experience preferred
  
−
Review of applications will begin in November 2014 and will continue until the positions are filled.
+
'''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.
  
−
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Revision as of 01:58, 20 April 2017

Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University

  • Employer: Cardiff University
  • Title: Postdoctoral Research Associate
  • Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
  • Location: Cardiff, UK
  • Deadline: May 20, 2017
  • Date posted: April 20, 2017
  • Contact: Steven Schockaert

Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:

  • The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.
  • The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval.

Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.


More information For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.


Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder

  • Employer: University of Colorado Boulder
  • Title: Postdoctoral Research Associate
  • Specialty: Advanced Machine Learning
  • Location: Boulder, Colorado, United States
  • Deadline: Ongoing, desired start Summer/Fall 2017
  • Date posted: March 31, 2017
  • Contact: Dr. Sidney D’Mello

Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)

The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving).

The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.

Required

  • Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)
  • Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)
  • Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record

Desired

  • Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)
  • Experience mentoring graduate and undergraduate students

Job Details

  • 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.
  • Start date is negotiable, but anticipated for Summer/Fall 2017.
  • Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.

How to apply
Please complete Faculty/University Staff EEO Data (application) form (https://goo.gl/YC9g94) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.

Special Instructions to Applicants: The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator@colorado.edu.

Questions
Please email Dr. Sidney D’Mello


Researcher in Machine Learning and NLP, DFKI, Germany

  • Employer: DFKI GmbH, Germany
  • Title: Researcher
  • Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
  • Location: Saarbruecken
  • Deadline: March 31, 2017
  • Date posted: March 13, 2017
  • Contact: Prof. Josef van Genabith

The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.

Key research responsibilities include:

  • machine and deep learning for natural language processing/machine translation
  • software development and integration
  • publication in top-tier conferences and journals

General responsibilities include:

  • engagement with industry partners and contract research
  • identification of funding opportunities and engagement in proposal writing
  • contribution to teaching and supervision in accordance with University and DFKI rules and regulations
  • administrative work associated with programmes of research

Requirements:

  • MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
  • Strong background and track record in machine learning, neural nets and deep learning
  • Strong background and track record in NLP and MT - Excellent programming skills
  • Excellent problem solving skills, independent and creative thinking
  • Excellent team working and communication skills
  • Excellent command of written and oral English
  • Command of German and other languages not a requirement but helpful

The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).

Working environment: DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.

The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project QT21 on MT, the EU CEF funded ELRC project and the EU funded TRADR project on human-robot collaboration in disaster response scenarios.

The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in Multimodal Computing and Interaction and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.

Geographical environment: Saarbrücken is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.

Starting date, duration, salary: Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.

Application: Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to Prof. Josef van Genabith referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact Prof. van Genabith for informal inquiries.


Associate Research Scientist, UKP Lab, TU Darmstadt

  • Employer: UKP Lab, Technische Universität Darmstadt, Germany
  • Title: Associate Research Scientist
  • Specialty: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning
  • Location: Darmstadt
  • Deadline: March 8, 2017
  • Date posted: February 21, 2017
  • Contact: Prof. Iryna Gurevych

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an

Associate Research Scientist
(PostDoc- or PhD-level; for an initial term of two years)

to strengthen the group’s profile in the areas of Interactive Machine Learning (IML) or Natural Language Processing for Language Learning. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Interactive Machine Learning and Natural Language Processing for Language Learning are the focus areas researched in collaboration with partners in research and industry.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.

  • The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes.
  • The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems.

Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems, experience in large-scale data analysis, large-scale knowledge bases, and strong programming skills incl. Java. Experience with neural network architectures and a sense for user experience design are a strong plus. Combining fundamental NLP research on Interactive Machine Learning or Natural Language Processing with practical applications in different domains including education will be highly encouraged.

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

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

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: jobs@ukp.informatik.tu-darmstadt.de by 08.03.2017. The positions are open until filled. Later applications may be considered if the position is still open.

Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University

  • Employer: Northwestern University, USA
  • Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University
  • Speciality: Open area
  • Location: Evanston, IL, USA
  • Deadline: April 1, 2017
  • Date posted: February 17, 2017
  • Contact: matt-goldrick@northwestern.edu

The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).

The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.

To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.

E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK

  • Employer: Cardiff University, UK
  • Title: Research Associate in Artificial Intelligence / Machine Learning
  • Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models
  • Location: Cardiff, UK
  • Deadline: March 2, 2017
  • Date posted: February 13, 2017
  • Contact: schockaerts1@cardiff.ac.uk

Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience.

This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)

Essential criteria

  • Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience
  • An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.
  • A strong background in statistics and linear algebra.
  • Excellent programming skills.
  • Knowledge of current status of research in specialist field.
  • Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP).
  • Ability to understand and apply for competitive research funding.
  • Proven ability in effective and persuasive communication.
  • Ability to supervise the work of others to focus team efforts and motivate individuals.
  • Proven ability to demonstrate creativity, innovation and team-working within work.

Background about the university

Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework.

Background about the project

Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications.

The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.

More information

For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.

Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK

  • Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
  • Title: Research Associates in Natural Language Processing / Text Mining
  • Speciality: Natural Language Processing, Text Mining
  • Location: Manchester, UK
  • Deadline: March 13, 2017
  • Date posted: February 10, 2017
  • Contact: sophia.ananiadou@manchester.ac.uk

The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.

They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning.

Skills

You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus. You should have excellent programming skills, preferably in Java.

  • Duration of post: Immediately until 31st October 2018
  • Salary: £31,076-£38,183 per annum

Research Team

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Deadline of applications: 13/03/2017

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975


Research Scientist Intern at Adobe Research, San Jose, California

  • Employer: Adobe Systems Incorporated
  • Title: Research Scientist Intern
  • Speciality: NLP, machine learning and dialog.
  • Location: San Jose, CA, USA
  • Deadline: March 1, 2017
  • Date posted: January 23, 2017
  • Contact: bui@adobe.com

We are looking for PhD students with background in NLP, machine learning, dialog to work on 2 following projects: 1) Deep reinforcement learning for creative assistant 2) Reading order text extraction for PDF documents

Assistant/Associate Professor Position in NLP/IR/Text/ML at University of California - Davis

  • Employer: University of California - Davis
  • Title: Assistant/Associate Professor
  • Speciality: All areas of NLP/Text/IR/ML etc including those involved in multi-media analysis.
  • Location: Davis, CA, USA
  • Deadline: January 2, 2017
  • Date posted: December 27, 2016
  • Contact: davidson@cs.ucdavis.edu

The Department of Computer Science at the University of California at Davis invites applications for a faculty position at the rank of Assistant or Associate Professor in Computer Science, for appointments with a start date in Spring 2017, or later. We are targeting excellent candidates in all areas of machine learning and computational linguistics, with a special emphasis on all aspects of natural language processing, information retrieval, text analytics and text mining. The campus is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and service.

Applications received by 2nd January 2017 will receive full consideration. For further information see http://www.cs.ucdavis.edu/blog/faculty-employment-positions-2/



Postdoctoral Fellow in Natural Language Processing / Machine Learning 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, Machine Learning, Predictive Modeling
  • Location: Boston, MA
  • Deadline: Open until filled
  • Date Posted: December 23, 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 led by Dr. Leonid Perlovsky (http://www.leonid-perlovsky.com/) and Dr. Alexander Turchin (https://connects.catalyst.harvard.edu/Profiles/display/Person/14588) 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; Leonid Perlovsky, PhD

Required skills: strong mathematical background in statistics and machine learning; experience working with large datasets; 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 predictive modeling, medical terminologies / ontologies, python, MATLAB and Apache Spark is a strong plus.

Education: PhD in computer science, biomedical informatics, or related discipline 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 (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html).

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


PhD Scholarship / Enhancing Scientific Text Summarization / Barcelona

  • Title: PhD Scholarship / Enhancing Scientific Text Summarization with Academic Social Networks
  • Location: Barcelona, Spain
  • Deadline: February 2nd, 2017
  • Date posted: December 12, 2016
  • Contact: horacio.saggion@upf.edu

In the context of the Marie-Curie PhD InPhiNIT La Caixa program associated to the Maria de Maeztu Strategic Research Program, we are looking for a highly motivated PhD candidate in the area of Natural Language Processing to work in a project dealing with Scientific Text Summarization and Academic Social Networks.

The PhD will be carried out at the TALN research group of the Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra (UPF) in Barcelona.

The PhD student should have background in Natural Language Processing with a solid knowledge of statistics, mathematics, computer programming and machine learning. Experience in Information Extraction, Text Summarization, or related areas would be appreciated.

Brief description of the project:

http://www.dtic.upf.edu/~hsaggion/scientific_summarization_social.html

How and where to apply (InPhiNIT program):

https://obrasociallacaixa.org/en/educacion-becas/becas-de-posgrado/inphinit/programme-description


The TALN research group:

http://taln.upf.edu/

Maria de Maeztu Strategic Research at DTIC:

https://www.upf.edu/web/mdm-dtic/description

http://ec.europa.eu/research/mariecurieactions/

Other:

You can contact Prof. Horacio Saggion for more information about the project.

Related information:

https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/Ef1was9TxNY4/content/id/4113025#.WE6ZIH23nm4

http://taln.upf.edu/pages/coling2016tutorial/





Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning at Imperial College London, UK

  • Employer: Department of Computing, Imperial College London
  • Title: Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning
  • Speciality: Artificial Intelligence and Machine Learning, including (but is not limited to): machine learning for text and speech.
  • Location: London, UK
  • Deadline: January 16, 2017
  • Date posted: December 8, 2016
  • Contact: margaret.hall@imperial.ac.uk

The Department of Computing at Imperial College London invites applications for full-time faculty members at the Lecturer/Senior Lecturer level (comparable to American tenure-track Assistant Professorships) who can contribute to research and teaching, in particular in the area of Artificial Intelligence and Machine Learning. This includes (but is not limited to): autonomous systems; knowledge representation and reasoning; planning; machine learning for speech, audio and text; optimization and data mining.

Notwithstanding the above focus, exceptional candidates from any area of Computer Science are also encouraged to apply.

The deadline for applications is 16th January 2017. For further information see http://www.imperial.ac.uk/computing/job-vacancies/


Research Fellow in Biomedical Text Mining, University of Manchester, UK

  • Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
  • Title: Research Fellow
  • Speciality: Natural Language Processing, Text Mining
  • Location: Manchester, UK
  • Deadline: December 18, 2016
  • Date posted: November 28, 2016
  • Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a postdoctoral research fellow in Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester. The position is for 2 years.

The objective of this BBSRC funded post is to conduct research into extracting complex information (entities and events) from the scientific literature to support metabolic model development.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in biomedical text mining (event extraction); excellent knowledge in developing and adapting algorithms for text mining systems; strong publication record; excellent programming skills.

  • Duration of post: 1st January 2017 to 31st December 2018
  • Salary: £39,324 to £48,327 per annum

Research Environment

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".

The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics. More information about the project: http://www.nactem.ac.uk/empathy/

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12531


Associate Research Scientist, UKP Lab, TU Darmstadt

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an

Associate Research Scientist
(PostDoc- or PhD-level; for an initial term of two years)

to strengthen the group’s profile in the areas of Interactive Machine Learning (IML) or Computational Argumentation (CA). The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Interactive Machine Learning and Computational Argumentation are the rapidly developing focus areas in collaboration with partners in research and industry.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German. - The successful applicant in the area of interactive machine learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create the corresponding product prototypes. - The successful applicant in the area of Computational Argumentation will work on research activities in analyzing the discourse of future professionals while reasoning to automatically access their argumentation quality given small amounts of training data, and development activities for the research prototype. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems, experience in information retrieval, large-scale data processing and large-scale knowledge bases, and strong programming skills incl. Java. Experience with neural network architectures is a strong plus. Combining fundamental NLP research on Interactive Machine Learning or Computational Argumentation with practical applications in different domains will be highly encouraged.

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

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

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: jobs@ukp.informatik.tu-darmstadt.de by 15.12.2016. The positions are open until filled. Later applications may be considered if the position is still open.

One Teaching Track and One Tenure Track position open at the Language Technologies Institute at Carnegie Mellon University (Pittsburgh, PA USA)

Employer: Language Technologies Institute, School of Computer Science, Carnegie Mellon University

Title: Assistant Teaching Professor and Assistant Professor

Specialty: Natural Language Processing, Computational Linguistics, Machine Learning and Statistical Methods for NLP, Social Media Analysis

The Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University invites applications for teaching-track and tenure-track positions, beginning Fall 2017. LTI is an academic department dedicated to the study of human language and information technologies, with approximately thirty faculty members. LTI is one of seven departments within SCS, which has over 200 tenure-track, research, and teaching faculty with expertise spanning traditional computer science, human computer interaction, language technologies, machine learning, computational biology, software engineering, and robotics. SCS offers a highly collaborative and uniquely interdisciplinary environment that promotes innovation and entrepreneurship in both teaching and research.


The teaching track is a career-oriented, renewable appointment with an initial appointment of three years. Initial teaching-track appointments are typically at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. These ranks are not tenured, but they do provide substantial opportunities for professional growth and long-term contributions to Language Technologies education at Carnegie Mellon University. Teaching track faculty contribute to the design of new curricula and the adoption of new teaching methods. For more information about this position, see: http://lti.cs.cmu.edu/teaching-track-faculty-position


We are also seeking to hire on the tenure track. Tenure track appointments are typically at the rank of Assistant Professor, with the possibility of promotion to the ranks of Associate Professor and Professor. Tenure-track applicants must have strong interests and accomplishments in both research and teaching. For more information about this position, see: http://lti.cs.cmu.edu/tenure-track-faculty-position

One Post-doctoral position in Statistical Machine Translation in CUNY (at Manhattan, NYC)

Employer: Department of Computer Science at Hunter College, University of New York Title: post-doctoral position Specialty: Machine Translation Location: Manhattan, NYC, NY

  • Deadline: Open until filled
  • Date posted: 6th November 2016
  • Contact: Dr. Jia Xu

The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for one post-doctoral position. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.

Applicants should hold by the time the appointment begins a PhD (or its equivalent) in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or in a related discipline. We are seeking for applicants committed to either (1) extending their current research program in statistical Natural Language Processing or (2) employing their analytical and engineering skills and join in our current research program. Therefore, this position can be also seen as an opportunity to fast-forward develop statistical NLP skills and conduct cutting-edge research in this field.

The position is for 1 year with the possibility of extending it up to 3 years. The starting date is flexible.

The Hunter College at the City University of New York may ask the post-doctor to take up a very moderate teaching load (can be waived based on research promise). The salary commensurate with qualifications and research potential and starts from $50K/year.

Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for collaboration. Hunter college is surrounded by top research labs (e.g. Google Research, Microsoft Research, Facebook, IBM Research), and many other university departments (e.g. Princeton, Columbia, NYU).

Applications should include a recent CV and optionally a research statement and 2 representative publications. Applications should be sent to Dr. Jia Xu by email to: jia.xu@hunter.cuny.edu including in the Subject title the keyword: “Application”.

All applicants will be notified upon receipt of the application by email.

This position will be advertised at http://jiaxu.org until is filled.

Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.


Three fully funded PhD Positions in Statistical Natural Language Processing in CUNY (at Manhattan, NYC)

Employer: Department of Computer Science at Hunter College, University of New York Title: fully-funded PhD position Specialty: NLP

  • Location: Manhattan, NYC, NY
  • Deadline: Open until filled
  • Date posted: 6th November 2016
  • Contact: Dr. Jia Xu


The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for fully-funded PhD student positions starting in 2017. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.

Applicants should hold by the time that begin their PhD studies a BSc, BEng (or its equivalent) in Computer Science, Linguistics, Computer Engineering, Statistics, Mathematics, Physics or related disciplines. We are seeking for very motivated students with enthusiasm and dedication in conducting cutting-edge research in statistical methods over massive amounts of data. Natural Language Processing is the prototypical domain where Machine Learning and Big Data are required to come together.

The typical duration of the PhD program is from 3 to 4 years.

The Hunter College at the City University of New York asks that the PhD candidate should take up two teaching assistantships per year. The admitted student will be offered to have the tuition fees covered and also stipend sufficient to cover the living cost.

Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for internships and collaboration. Hunter college is surrounded by top research labs, such as Google Research, Microsoft Research, Facebook, and IBM Research.

Application material: CV and optionally a statement of purpose letter, GRE, and TOELF/IELTS results. Applications should be sent to Dr. Jia Xu by email to: Jia.Xu@hunter.cuny.edu including in the Subject title the keyword: “PhD".

All applicants will be notified upon receipt of the application by email.

This position will be advertised at http://jiaxu.org until the position is filled.

Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.


Funded PhD Position in Natural Language Processing in Barcelona

  • Employer: Department of Information and Communication Technologies at Universitat Pompeu Fabra
  • Title: PhD studentship position
  • Specialty: NLP
  • Location: Barcelona, Spain
  • Deadline: August 8th, 2016 (or until filled)
  • Date posted: 29th July 2016
  • Contact: Prof. Horacio Saggion


The Department of Information and Communication Technologies at Universitat Pompeu Fabra in Barcelona, Spain, invites applications for a PhD studentship position that is associated with the María de Maeztu Units of Excellence Research Program of the Spanish Government (http://www.upf.edu/mdm-dtic), and involves joint work of the research labs of profs. Horacio Saggion and Ricardo Baeza-Yates. This position will be funded under the FPI call to be launched by the Spanish Ministry of Economy and Competitiveness.

Project Description

In the context of our Maria de Maeztu (MdM) project "Mining the Knowledge of Scientific Publications" ( see http://www.upf.edu/mdm-dtic) the PhD student will carry out a research project on the more focused area of automatic research paper assessment which concerns a number of interesting research questions including but not limited to:

  • automatic research paper evaluation
  • automatic research paper/author impact prediction
  • automatic novelty evaluation

The PhD will benefit from the resources developed during MdM project: availability of large scale open scientific repositories, natural language processing technology adapted to scientific text processing, document retrieval technology, etc. as well as the expertise of the MdM team members.

Applicants

Candidates should hold a M.Sc. in Computer Science or related field with a solid background in Natural Language Processing and be proficient in spoken and written English. Experience with recent advances in Machine Learning and Information Retrieval would be highly valuable. Knowledge of statistical analysis is highly desirable.

More information

For informal inquiries, prospective candidates may contact professor Horacio Saggion at horacio DOT saggion AT upf DOT edu

For more information please check the official announcement at

https://portal.upf.edu/web/etic/automatic-research-assessment?p_p_id=56_INSTANCE_MaAxd6TFfhia&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=1

Research Fellow in Biomedical Text Mining, University of Manchester, UK

  • Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
  • Title: Research Fellow
  • Speciality: Natural Language Processing, Text Mining
  • Location: Manchester, UK
  • Deadline: August 13, 2016
  • Date posted: July 18, 2016
  • Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a postdoctoral research fellow in Biomedical Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.

The objective of this BBSRC funded post in collaboration with Unilever is to conduct research into extracting complex information from the scientific literature to support metabolic pathway curation using text mining methods.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in information extraction at large scale; excellent knowledge in developing and adapting algorithms for text mining systems; machine learning; experience in biomedical Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, etc., and in high quality journals; excellent programming skills; proven ability to develop independently research proposals.

  • Duration of post: until 31st March 2018 with possibility of extension
  • Salary: £38,896 to £47,801 per annum

Research Environment

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".

The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics. More information about the project: http://www.nactem.ac.uk/empathy/

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=11856

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.

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