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== Research Fellowship at University of Aberdeen ==
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== 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
  
* Employer: University of Aberdeen
+
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.
* Job Title: Research Fellow in Computational Linguistics
 
* Location: Aberdeen, UK
 
* Deadline: 28th June 2012
 
* Date Posted: 22-May-2012
 
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", enter "Computational Linguist" under Search Vacancy Title and click "search"]
 
* Contact email: c.mellish@abdn.ac.uk
 
  
Research at Aberdeen is seeking to build a dialogue system allowing a person who is building a semantic web ontology to ask ‘what if …?’ questions about possible additions and changes to the ontology and get meaningful answers. This involves automated reasoning about what the consequences of a change in the ontology would be and intelligent presentation of the results. Because in general there will be infinitely many new logical consequences, the system will have to understand something about what the person is trying to do and what sorts of results will be most interesting to them. It is assumed that this information can best be provided by the person in the context of a natural dialogue system.
+
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.
  
We are seeking a Computational Linguist to lead the theoretical and practical design and development of the dialogue system (other researchers will be investigating issues of efficient reasoning and issues of how to model the process of ontology authoring). The dialogue system is expected to use structured input (including an approach to specifying complex content based on “editing” natural text (see paper by Power in European Workshop on Natural Language Generation 2009) rather than free natural language text or speech, but nevertheless is required to be natural and to select and present information coherently.
+
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.
  
You should have, or be about to acquire, a PhD in Computer Science/ Artificial Intelligence/ Computational Linguistics, with experience of natural language processing research at the postgraduate level and experience of implementing software for users. Research interests in conversational implicature/ relevance, logics and reasoning, dialogue moves and structures, the semantic web and requirements elicitation/ evaluation with users would all be advantageous but are not essential.
+
* Duration of post: 1st January 2017 to 31st December 2018
 +
* Salary: £39,324 to £48,327 per annum
  
== Associate Research Scientist (SPEECH) at Educational Testing Service ==
+
'''Research Environment '''
  
* Employer: Educational Testing Service (www.ets.org)
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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.
* Job Title: Associate Research Scientist (SPEECH)  
+
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".
* Location: Princeton, NJ
+
 
 +
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 ==
 +
 
 +
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* 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]
 +
 
 +
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 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 [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 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
 +
* Deadline: January 3, 2017
 +
* Date posted: 10th November 2016
 +
* Contact:  [mailto:cprose@cs.cmu.edu Dr. Carolyn P.Rose]
 +
 
 +
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  
 
* Deadline: Open until filled  
* Date Posted: 16-May-2012
+
* Date posted: 6th November 2016
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]
+
* Contact:  [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]
* Contact email: dyanchuk@ets.org
+
 
 +
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.
  
'''JOB DESCRIPTION'''
+
The position is for 1 year with the possibility of extending it up to 3 years. The starting date is flexible.
  
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
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).
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
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”.
  
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.
+
All applicants will be notified upon receipt of the application by email.
   
+
 
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.  
+
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:  [mailto:Jia.Xu@hunter.cuny.edu 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:  [mailto:horacio.saggion@upf.edu 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: [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]
 +
 
 +
 
 +
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 ==
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
* 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]
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
 
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
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.  
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
''Qualifications''
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
*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.
'''EXPERIENCE AND SKILLS'''
 
  
EDUCATION
+
*Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).
  
Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.
+
*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.
  
EXPERIENCE
+
*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.
  
Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).
+
''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 ==
'''APPLYING'''
+
* 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]
  
Interested parties can apply for the position through the following website:
 
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
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.
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
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.
  
== Associate Research Scientist (NLP) at Educational Testing Service ==
+
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.
  
* Employer: Educational Testing Service (www.ets.org)  
+
This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):
* Job Title: Associate Research Scientist (NLP)  
 
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 16-May-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]
 
* Contact email: dyanchuk@ets.org
 
  
'''JOB DESCRIPTION'''
+
* 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)
  
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
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''.
 
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
  
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field.  
+
'''Salary range''': £28,847 to £46,414 per annum.
  
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.  
+
For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.
+
For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
 
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
 
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* 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]
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
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:
'''EXPERIENCE AND SKILLS'''
 
  
EDUCATION
+
# 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").
  
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.
+
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.
 
EXPERIENCE
 
   
 
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset.  
 
  
   
+
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.
'''APPLYING'''
 
  
Interested parties can apply for the position through the following website:
+
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
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend
+
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].
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
'''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]
  
== Associate Research Engineer at Educational Testing Service ==
+
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.
  
* Employer: Educational Testing Service (www.ets.org)  
+
'''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.
* Job Title: Associate Research Engineer
 
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 15-May-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]
 
* Contact email: dyanchuk@ets.org
 
  
'''JOB DESCRIPTION'''
+
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.
  
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
'''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.
  
+
We look forward to receiving your application!
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies.
 
  
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.
+
== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==
  
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany
 +
* Title: Doctoral researcher
 +
* Specialty: NLP
 +
* 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]
  
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.
+
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'''
  
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
+
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.  
  
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
+
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.  
  
* Implement components of technical documentation of NLP software systems, solutions and results.
+
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.  
  
* Attend area-wide staff training and development sessions.  
+
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.
 
'''EXPERIENCE AND SKILLS'''
 
  
EDUCATION
+
'''Prerequisites'''
  
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
+
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.  
 
EXPERIENCE
 
  
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.
+
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.  
  
OTHER REQUIREMENTS
+
Applications should include:
* Knowledge of UNIX and Windows computing environments.
 
  
* Familiarity with UNIX tools and scripting languages.
+
* 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.
  
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.  
+
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].  
  
* Excellent verbal and written communication skills.
+
== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==
  
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
'''APPLYING'''
+
* 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)
  
Interested parties can apply for the position through the following website:
+
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.
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend
+
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.  
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
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.
  
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
+
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.
  
* Employer: Austrian Research Institute for Artificial Intelligence
+
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.
* Group: Language Technology
 
* Title: Junior Researcher
 
* Requirements:
 
** Permission to work within the European union
 
** Excellent English language skills; knowledge of the German language is a plus
 
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)
 
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)
 
** Programming skills in C++, Perl and/or Java
 
** Strong ability to work independently and drive an original research agenda
 
* Deadline:  June 15, 2012
 
* Date Posted: May 14, 2012
 
* Contact: harald.trost@ofai.at
 
  
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties".  
+
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 position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.
+
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.
  
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.
+
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).
  
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
+
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'''.
  
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).
+
For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de
  
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.
+
==NLP Postdoctoral Researcher at UNSW, Australia==
  
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.
+
* 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'''
  
== Junior Research Group Leaders at Saarland University ==
+
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.
  
* Employer: Saarland University, Germany
 
* Division: MMCI Cluster of Excellence
 
* Title: Junior Research Group Leaders
 
* Job ID: W490
 
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)
 
* Location: Saarbrücken, Germany
 
* Deadline:  April 30, 2012
 
* Date Posted: April 4, 2012
 
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
  
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.
+
'''POSITION REQUIREMENTS'''
  
Deadline for applications is April 30th, 2012.
+
Essential criteria:
  
For the complete announcement see:
+
* 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.
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
+
* 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.
  
  
Additional information on the excellence cluster is available on
+
Desirable criteria:
http://www.mmci.uni-saarland.de/
 
  
 +
* 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
  
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. 
 
  
== Scientist Position in Statistical Machine Translation at Microsoft ==
+
'''SALARY RANGE AND CONTRACT LENGTH'''
  
* Employer: MICROSOFT
+
* Research Associate: A$86,438 - A$92,453 per year  (plus employer superannuation)
* Division: Online Services Division
+
* Research Fellow:     A$97,090 - A$114,454 per year (plus employer superannuation)
* Title: Scientist Position
 
* Job ID: 789594
 
* Specialty: Statistical Machine Translation
 
* Location: Bellevue, WA or Mountain Vew, CA
 
* Deadline: As soon as possible
 
* Date Posted: March 30, 2012
 
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN
 
  
Scientist Position in Statistical Machine Translation
+
This is a fixed term position of one year with further renewal up to January 2019, subject to funding.
 
   
 
   
Research and Development Opportunities for Next Generation Technology at Microsoft
 
 
Do you want to impact billions of people all over the world with speech technology that you create?
 
  
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation,  
+
'''ENVIRONMENT'''
weighted finite state transducers, natural language processing and machine learning will be preferred.
+
 
+
The School of Computer Science and Engineering in UNSW, located in Sydney, is
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages.  
+
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.  
  
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.
 
  
  
  
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==
+
==Research Scientist, Natural Language Processing==
  
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley
+
* Employer: EMR.AI Inc.
* Title: Post MS, Post Doc, or above
+
* Title: Research Scientist
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning
+
* Specialty: NLP
* Location: Mountain Vew, CA
+
* Location: San Francisco, CA
* Deadline: As soon as possible
+
* Deadline: May 20th, 2016
* Date Posted: March 21, 2012
+
* Date posted: April 21th, 2016
* Contact: patrick.w.langley@gmail.com
+
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])
  
An ongoing project has an opening for a researcher who will help extend
+
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.
Icarus, a cognitive architecture, to reason about other agents' mental
 
states in the context of dialogues and joint activities. The framework
 
uses a logical formalism to encode knowledge, beliefs, and goals, and
 
it relies on a form of abduction to make plausible inferences. Experience
 
in building reasoning systems that operate over rich representations is
 
essential, and a background in applied logic, knowledge-based systems,
 
and/or cognitive architectures is highly desirable.
 
  
The location of the project will be Carnegie Mellon's Silicon Valley
+
'''Summary'''
Campus. The start date is negotiable, but the position will be available
 
on May 1, 2012, and the project has funding for another two years.
 
Interested parties should send their curriculum vitae, along with
 
the contact details for two or more references, to Pat Langley
 
<patrick.w.langley@gmail.com>.
 
  
 +
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.
  
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==
+
This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.
  
* Employer: Illinois Institute of Technology
+
'''Responsibilities'''
* Title: Postdoc
 
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor
 
* Location: Chicago, IL
 
* Deadline: As soon as possible
 
* Date Posted: March 13, 2012
 
* Contact: argamon@iit.edu
 
  
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.
+
* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.
 +
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.
 +
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
 +
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.
 +
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.
  
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.
+
'''Skills'''
  
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.
+
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 position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding.
+
'''Benefits'''
  
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.
+
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.
  
Review of applications will begin immediately and continue until the position is filled.
+
'''How to Apply'''
  
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==
+
Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]
  
* Employer: Google
+
'''Contact'''
* Job title: Postdoc
 
* Specialty: Natural Language Processing, Machine Learning, summarization
 
* Location: Zurich, Switzerland
 
* Deadline: we are looking to fill the position soon
 
* Date posted: 1 March 2012
 
  
A post-doctoral position in the area of automatic text summarization
+
EMR.AI Inc.
within the RENDER project is available at the Google Switzerland R&D
 
office. RENDER is a EU FP7 research project focused on identifying
 
diversity of opinions, viewpoints, mindsets and backgrounds in texts
 
from different sources: news, (micro) blog streams, and in
 
collaboratively written resources like Wikipedia. More information on
 
the project goals is available at http://render-project.eu/.
 
  
The duration of the post-doctoral contract will be one year, with the
+
90 New Montgomery St
possibility of renewing for a second year. This position will allow
 
the candidate to perform research on several NLP-related areas,
 
to interact with the consortium partners and with other Google-internal
 
research and development projects, and to apply the results of the
 
research to real applications with a potentially large impact.
 
  
Requirements:
+
San Francisco, CA 94105, USA
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.
 
* Extensive programming experience in C/C++.
 
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
 
* Fluency in English.
 
  
Responsibilities:
+
phone: +1-415-200-8535
* Perform research in the context of the project (text summarization).
 
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.
 
* Publish the result of the research in top conferences or journals.
 
* Be available to attend project meetings with the partners in the project.
 
  
For applying to this position, please send an e-mail to Enrique
+
e-mail: [mailto:info@emr.ai info@emr.ai]
Alfonseca (ealfonseca@google.com) including a paragraph on why you
 
think you are a right person for the role, and a brief CV.
 
  
== 4 PhD positions in spoken dialogue systems research ==
+
www: [http://emr.ai http://emr.ai]
  
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague
 
* Job title: 4 PhD positions in spoken dialogue systems research
 
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing
 
* Location: Prague, Czech Republic
 
* Deadline: 1 June 2012
 
* Date posted: 16 February 2012
 
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs
 
  
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.
 
  
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing.
+
==Research Scientist on Natural Language Processing==
  
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering  or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.
+
* Employer: IBM Research Ireland
 +
* Title: Research Scientist
 +
* Specialty: NLP, Machine Learning
 +
* Location: Dublin
 +
* Deadline: May 5th, 2016
 +
* Date posted: April 11th, 2016
 +
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]
  
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities.
 
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.
 
  
== Several Positions in Data2Text (Natural Language Generation) ==
+
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.
  
* Employer: Data2Text
+
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.
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect
+
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.
* Specialty: natural language generation, analytics
 
* Location: Aberdeen, Scotland, UK
 
* Deadline: 2 March 2012
 
* Date posted: 7 February 2012
 
* Link to website: http://www.data2text.com/careers
 
  
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
 
research group.  We are looking to hire several people; please see our website for details
 
http://www.data2text.com/careers
 
  
This is a great opportunity for people who are keen on getting NLG technology
+
==Postdoc Researcher on Vision and Language==
out into the real world.  In addition to the advertised positions, we're happy to talk
 
to people who are knowledgeable about NLG and keen to develop commercial applications,
 
but whose profiles do not fit the advertised positions.
 
  
Information inquiries (from the ACL community) should be sent to Ehud Reiter
+
* Employer: University of Liverpool
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
+
* Title: Postdoc
 +
* Specialty: Computer Vision with an interest in human vision/language behaviour
 +
* Location: Liverpool UK
 +
* Deadline: April 20th, 2016
 +
* Date posted: March 28, 2016
 +
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]
  
== PhD-position in sentiment mining and reputation analysis==
+
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.
  
* Employer: Erasmus University Rotterdam
+
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.
* Job title: PhD-student
 
* Specialty: text mining, sentiment analysis, topic detection, reputation management
 
* Location: Rottterdam, The Netherlands 
 
* Deadline: 1 March 2012
 
* Date posted: 6 February 2012
 
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
 
  
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.
 
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. 
 
  
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
+
==Postdoc Positions at Johns Hopkins University==
  
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
+
* Employer: Johns Hopkins University
 +
* Title: Postdoc
 +
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
 +
* Location: Baltimore, MD
 +
* Deadline: March 31, 2016
 +
* Date posted: March 1, 2016
 +
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://www.clsp.jhu.edu/employment-opportunities/]
  
== PhD-position in folktale classification and clustering ==
+
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.
* Employer: University of Twente
 
* Job title: PhD-student
 
* Specialty: text classification, document clustering, natural language processing
 
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands
 
* Deadline: 4 March 2012
 
* Date posted: 6 February 2012
 
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425
 
  
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers.  The PhD-student will work on automatic classification of Dutch folktales by their international folktale type  and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.
+
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 PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute.
+
Host faculty include:
 +
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria
  
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
 
  
==Research Associate Position at Educational Testing Service==
+
==Associate/Full Professor in Computational Linguistics at Stony Brook University==
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
+
* Employer: Department of Linguistics, Stony Brook University
* Job Title: Research Associate
+
* Title: Associate/Full Professor
* Location: Princeton, NJ
+
* Specialty: Computational Linguistics
* Deadline: Open until filled
+
* Location: New York, USA
* Date Posted: 28-Jan-2012
+
* Deadline: <strike>March 14, 2016</strike> May 1, 2016
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
+
* Date posted: February 17, 2015
* Contact email: dyanchuk@ets.org
+
* 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'''
+
'''Job Description'''
  
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation.  
+
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.
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
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.
  
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
+
They will also be expected to
  
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
+
* 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.
  
* Plan and manage annotations for a variety of projects.  
+
Salary will be commensurate with education and experience.
  
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.
+
'''Application'''
  
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.
+
Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]
  
* Design original research instruments and methods and applications of research.
 
  
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers.
+
==Research Scientist at the Allen Institute for Artificial Intelligence==
  
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.
+
* 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
  
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.
+
'''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.  
  
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.
+
'''Position Summary'''
  
* Contact, establish, and develop relationships with research community and with data sources.
+
AI2 currently has projects in the following areas:
  
* Arrange and attend conferences and meetings; present research findings at professional meetings.
+
* 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
  
'''EXPERIENCE AND SKILLS'''
+
And more…. 
  
EDUCATION
+
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.
  
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
+
'''Applicant'''
  
EXPERIENCE
+
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation.  We look favorably upon extensive work experience and publishing demonstrating application of your research.
  
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects.
+
'''Why AI2'''
  
APPLYING
+
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:
  
Interested parties can apply for the position through the following website:
+
* 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!
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
+
'''Application Process'''
  
If there are any questions, please contact:
+
Visit our website for more information: http://allenai.org/jobs.html
  
Dave Yanchuk
 
(609) 406-5291
 
dyanchuk@ets.org
 
  
 +
==Software Engineer  - Machine Learning / NLP (Chinese) at SYSTRAN==
  
==Postdoc Position at HRL Laboratories==
+
* Employer: SYSTRAN
* Employer: HRL Laboratories, LLC
+
* Title: Software Engineer
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
+
* Topics: Machine Learning, Natural Language Processing, Machine Translation
* Location: Malibu, CA
+
* Location: San Diego
 
* Deadline: Open until filled
 
* Deadline: Open until filled
* Date Posted: 26-Jan-2012
+
* Date Posted: January 29, 2016
* Contact email: hmoon@hrl.com
+
* 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.
 +
 
  
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information.
+
==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==
For job considerations, please send your cover letter and CV to hmoon@hrl.com.
 
  
Job Description:
+
* 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)
  
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
+
£34,576 to £55,389 Full Time, Permanent
  
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.  
+
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.
  
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources.  
+
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.
  
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus.
+
'''Summary of Job Purpose and Principal Duties'''
  
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.  
+
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.
  
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.  
+
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.
  
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
+
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'''
  
==Postdoc Position at Aberdeen University==
+
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:
* Employer: University of Aberdeen
 
* Rank: Post-doctoral Research fellow
 
* Speciality: Intelligent Language/Multimodal Interfaces
 
* Location: Aberdeen, UK
 
* Deadline: 10-Feb-2012
 
* Date Posted: 19-Jan-2012
 
* Contact email: yaji.sripada@abdn.ac.uk
 
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009.
 
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk
 
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation.
 
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage.
 
As this post is externally funded it is available for a period of 2.5 years.
 
  
For more details
+
* 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.
  
Go to: http://www.abdn.ac.uk/jobs/index.php
+
'''Application Requirements'''
Click on "External Applicants"
 
Enter the Post Reference Number 1228867 and click "Search"
 
  
==Postdoc or Research Associate - Natural Language Processing==
+
In addition to the online form, applicants must include with their application:
* Employer: IHMC (www.ihmc.us)
 
* Rank or Title: Research Associate - Natural Language Processing
 
* Specialty: Computational Linguistics, Natural Language Processing
 
* Location: Ocala, FL
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: January 3rd, 2012
 
* Contact email ywilks@ihmc.us
 
  
'''About Us'''
+
* Cover letter outlining fit to role.
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
+
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
+
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
 
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
 
  
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
 
 
Required:
 
  
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
+
==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)
  
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
+
'''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.
  
▪ Ph.D. in computational linguistics / natural language processing or related areas.
+
'''Supervisor''': Sunny Khemlani, PhD
  
Skills and Experience:
+
'''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.
  
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.
  
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.
+
'''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.
  
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
+
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.
  
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
  
Apply to Yorick Wilks at: ywilks@ihmc.us
+
==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:
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
 
* Employer: Queens College of the City University of New York
 
* Location: New York, NY
 
* Deadline: Review of applications to begin on March 1, 2012
 
* Website: http://www.cs.qc.cuny.edu/
 
* Date posted: January 4, 2012
 
  
'''Visiting Assistant/Associate/Full Professor'''
+
* 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.
  
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1. This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.
+
* 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.
  
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors.  If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.
+
'''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.  
  
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific ResearchMore information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/
+
'''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.  
 +
   
  
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.
 
  
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
==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)
  
Dr. Matt Huenerfauth, Search Committee Chair
+
'''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.
  
Department of Computer Science
+
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
  
Queens College-CUNY
+
'''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.
  
65-30 Kissena Blvd.  
+
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
  
Flushing, New York 11365-1597
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
  
matthew.huenerfauth (at) qc.cuny.edu
+
'''Available''': Immediately.
  
Email submissions with PDF attachments are preferred.  In addition, please arrange for three current letters of reference to be submitted directly by the recommenders.  Review of applications will begin on March 1, 2012, and will continue until the position is filled.
+
'''Compensation''': according to NIH (NRSA) stipend levels.
  
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Latest revision as of 13:24, 28 November 2016

Contents

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.