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* Please post your job ad below.
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* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''.
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* '''Please remove your posting when the position is filled.'''  
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* '''[[Instructions for Posting Job Ads]]'''
* Please include the following information:
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** Employer
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** Date Posted
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** Contact email or link to website
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* Archived postings:
** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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== Research Fellowship at University of Aberdeen ==
+
== Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL ==
  
* Employer: University of Aberdeen
+
* Employer: Toyota Technological Institute at Chicago
* Job Title: Research Fellow in Computational Linguistics
+
* Title: Visiting student researcher
* Location: Aberdeen, UK
+
* Specialty: Machine learning, NLP, speech
* Deadline: 28th June 2012
+
* Location: Chicago, IL, United States, 60637
* Date Posted: 22-May-2012
+
* Deadline: Until filled
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", enter "Computational Linguist" under Search Vacancy Title and click "search"]
+
* Date Posted: Sept 10, 2014
* 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.
 
  
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.
+
'''Job Description'''
  
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.  
+
Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.
  
== Associate Research Scientist (SPEECH) at Educational Testing Service ==
 
  
* Employer: Educational Testing Service (www.ets.org)
+
The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).
* Job Title: Associate Research Scientist (SPEECH)  
+
* 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=124337&type=True&cfcend Application Website]
+
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
 
  
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 target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.
  
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
'''Responsibilities'''
  
* 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.
+
The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.
+
* 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.  
+
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.
 
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
'''Qualifications'''
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.  
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
 
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
'''How to Apply'''
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:
  
   
+
* brief cover letter, describing your interest in and qualifications for the position
'''EXPERIENCE AND SKILLS'''
+
* curriculum vitae including publication list
 +
* two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)
  
EDUCATION
+
Please see http://ttic.edu/bansal/slu-job.html for more information.
  
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.
 
  
 +
== NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA ==
  
EXPERIENCE
+
* Employer: Civis Analytics
 +
* Title: Data Scientist
 +
* Specialty: Natural Language Processing / Speech Processing / Machine Learning
 +
* Location: Chicago, Illinois, USA
 +
* Deadline: Rolling
 +
* Date Posted: July 7, 2014
  
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).
+
'''Who We Are:'''
  
 +
Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”
  
   
+
Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems. We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.
'''APPLYING'''
+
  
Interested parties can apply for the position through the following website:
+
We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
We are smart, fun, and a little bit weird. Does this sound like you?
  
== Associate Research Scientist (NLP) at Educational Testing Service ==
+
'''Job Description:'''
  
* Employer: Educational Testing Service (www.ets.org)
+
The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.
* 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'''
+
With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis.  Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.
  
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).
+
We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
+
'''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.
+
'''Minimum Qualifications:'''
  
* 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.
+
* Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
 +
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
 +
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
 +
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
 +
* Experience with SQL databases
 +
* Strong programming skills
 +
* Experience identifying and correcting for problems in imperfect data
 +
* An ability and eagerness to constantly learn and teach others
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.
+
'''Preferred Qualifications:'''
 +
* PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
 +
* Ability to expand upon modern statistical learning methods
 +
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
 +
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
 +
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
 +
* Theoretical understanding sufficient to independently implement complex neural network architectures
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
'''Location:'''
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
This posting is for a position in Civis’ Chicago headquarters.
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
'''Dates:'''
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
We are hiring for multiple positions and will evaluate candidates as applications are received.
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
'''How to Apply:'''
  
+
Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il.
'''EXPERIENCE AND SKILLS'''
+
Specific inquiries may be directed to Derrick Higgins: [mailto:dhiggins@civisanalytics.com dhiggins@civisanalytics.com].
  
EDUCATION
 
  
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.
+
== Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France ==
+
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.
+
  
+
* Employer: Aix-Marseille University
'''APPLYING'''
+
* Title: Postdoc
 +
* Specialty: Natural Language Processing
 +
* Location: Luminy, Marseille, France
 +
* Deadline: July 1st, 2014
 +
* Date Posted: June 12, 2014
  
Interested parties can apply for the position through the following website:  
+
'''Job Description:'''
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend
+
We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You
 +
will contribute to conversation analysis summarization research to
 +
allow the exploitation of large quantity of comments in social
 +
media and spoken conversations.
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
You will contribute to the design and development of speech and text
 +
summarization technologies for conversational data such as social
 +
media comments and tweets. There will be three components to the
 +
system: linguistic analysis of the conversations, content selection
 +
and aggregation, and generation of the summaries (text or other
 +
media). The approach is expected to make use of recent machine
 +
learning advances such as deep learning, and focus on limiting the
 +
quantity of supervision needed. The prototype will be evaluated by
 +
end-user professionals in ecological conditions.
  
== Associate Research Engineer at Educational Testing Service ==
+
'''Qualifications:'''
  
* Employer: Educational Testing Service (www.ets.org)
+
The applicant must hold a PhD degree, preferably in the field of
* Job Title: Associate Research Engineer
+
natural language processing or machine learning. He/she should:
* Location: Princeton, NJ
+
* Be proficient in one of Java / C++ programming and python or php scripting
* Deadline: Open until filled
+
* Have experience with developing efficient NLP / machine learning systems.
* Date Posted: 15-May-2012
+
* Be keen on researching the literature and writing papers
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]
+
* Enjoy team work and be autonomous
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
+
'''Location:'''
  
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).
+
You will work at the LIF computer science lab at Aix-Marseille
 +
University in France, at the Luminy campus next to the
 +
calanques.
  
+
'''Dates:'''
'''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.
+
Interviews will be held in July 2014, the Postdoc will start in
 +
september / october 2014 and last one year.
  
* 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.
+
'''How to Apply:'''
  
* 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.
+
Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr
  
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
+
== Executive Director / CLARIN ERIC / Utrecht University, the Netherlands ==
  
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
+
* Employer: CLARIN ERIC through Utrecht University
 +
* Title: Executive Director
 +
* Specialty: Research Infrastructures
 +
* Location: Utrecht University, the Netherlands
 +
* Deadline: August 15, 2014
 +
* Date Posted: June 10, 2014
  
* Implement components of technical documentation of NLP software systems, solutions and results.
+
'''Job Description:'''
  
* Attend area-wide staff training and development sessions.  
+
CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.
+
'''EXPERIENCE AND SKILLS'''
+
  
EDUCATION
+
As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.
  
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
+
The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.  
+
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.
+
'''Responsibilities:'''
  
OTHER REQUIREMENTS
+
* Leading the Board of Directors of the CLARIN ERIC
* Knowledge of UNIX and Windows computing environments.
+
* Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
 +
* Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
 +
* Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
 +
* Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
 +
* Leading the international fundraising efforts for CLARIN
 +
* Monitoring and measuring CLARIN’s activities and reporting to General Assembly
 +
* Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
 +
* Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
 +
* Planning, organizing, and managing the main office in Utrecht, which includes recruitment
 +
* Facilitating and supporting the operation of CLARIN’s governance bodies
  
* Familiarity with UNIX tools and scripting languages.
+
'''Qualifications:'''
  
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.
+
* A higher university degree or equivalent qualifications and an international interdisciplinary network
 +
* Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
 +
* An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
 +
* Excellent communicative skills
 +
* A proven fundraising record
 +
* A record of relevant academic excellence
 +
* The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies
  
* Excellent verbal and written communication skills.
+
'''How to Apply'''
  
+
For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director
'''APPLYING'''
+
  
Interested parties can apply for the position through the following website:
 
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend
+
== Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California ==
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
* Employer: Bosch Research & Technology Center
 +
* Title: Research Scientist in Natural Language Technologies (PhD)
 +
* Specialty: Natural Language Processing
 +
* Location: Palo Alto, California, United States, 94304
 +
* Deadline: Until filled
 +
* Date Posted: May 19, 2014
  
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
+
'''Job Description:'''
  
* Employer: Austrian Research Institute for Artificial Intelligence
+
The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers.  We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.  
* 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".  
+
To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.  
  
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.
+
'''Responsibilities:'''
  
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.
+
* Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
 +
* Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
 +
* Communicate with business departments about the technology potentials as well as identify potential areas of business values.  
  
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
 
  
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).
+
'''Qualifications:'''
  
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.
+
* Ph.D. in Computer Science or related fields
 +
* Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
 +
* Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
 +
* Strong skills in coding (C/C++ or Java), algorithms and system design
 +
* Very good communication skill together with good quality publication
 +
* Experience in text summarization research and development is a plus
 +
* Experience in large system development and speech technology is a plus
  
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.
 
  
 +
'''How to Apply'''
  
== Junior Research Group Leaders at Saarland University ==
+
For more information, and to apply online, please visit http://bit.ly/1k8UZ57
  
* 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.
 
  
Deadline for applications is April 30th, 2012.
+
== Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL ==
  
For the complete announcement see:
+
* Employer: Toyota Technological Institute at Chicago
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
+
* Title: Post-doctoral scholar
 +
* Specialty: Machine learning, NLP, computer vision, speech
 +
* Location: Chicago, IL, United States, 60637
 +
* Deadline: Until filled
 +
* Date Posted: May 12, 2014
  
  
Additional information on the excellence cluster is available on
+
'''Job Description'''
http://www.mmci.uni-saarland.de/
+
  
 +
Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.
  
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 ==
+
The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.
  
* Employer: MICROSOFT
 
* Division: Online Services Division
 
* 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
+
The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan. The position will remain open until filled.
+
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,
 
weighted finite state transducers, natural language processing and machine learning will be preferred.
 
 
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.
 
  
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.
+
'''Responsibilities'''
  
 +
The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.
  
  
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==
+
Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.
  
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley
 
* Title: Post MS, Post Doc, or above
 
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning
 
* Location: Mountain Vew, CA
 
* Deadline: As soon as possible
 
* Date Posted: March 21, 2012
 
* Contact: patrick.w.langley@gmail.com
 
  
An ongoing project has an opening for a researcher who will help extend
+
'''Qualifications'''
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
+
Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field. There are no citizenship requirements.
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>.
+
  
  
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==
+
'''How to Apply'''
  
* Employer: Illinois Institute of Technology
+
Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:
* 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.
+
* brief cover letter, describing your interest in and qualifications for the position
 +
* curriculum vitae including publication list
 +
* contact information for two or more researchers who can provide letters of reference
  
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.
+
Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.
  
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.
+
== Postdoctoral Fellow / INRIA / Saclay ==
 +
* Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
 +
* Title: PostDoc (12 months)
 +
* Specialty: Natural Language Processing
 +
* Location: Palaiseau, Ile-de-France, France
 +
* Deadline: June 30, 2014
 +
* Date Posted: May 6, 2014
  
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.
 
  
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.
+
'''Job Description'''
  
Review of applications will begin immediately and continue until the position is filled.
+
The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.
  
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==
+
'''Duties'''
  
* Employer: Google
+
Reporting to the Dr. Gregory Grefenstette, your
* Job title: Postdoc
+
typical duties will include the following:  
* 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
+
* Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
within the RENDER project is available at the Google Switzerland R&D
+
* Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
office. RENDER is a EU FP7 research project focused on identifying
+
* Discover and adapt existing open data taxonomies to the platform;
diversity of opinions, viewpoints, mindsets and backgrounds in texts
+
* Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources
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
 
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:
+
'''Required Qualifications'''
* 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:
+
The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer
* Perform research in the context of the project (text summarization).
+
science, computational linguistics or a related discipline.
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.
+
* Experience with natural language processing (e.g., Stanford Parser)
* Publish the result of the research in top conferences or journals.
+
* Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
* Be available to attend project meetings with the partners in the project.
+
* Experience with classification algorithms
 +
* Familiarity with dealing with large, noisy data sets
 +
* Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
 +
* Desire to produce functioning end-to-end systems, life-scale live demos
 +
* Scientific rigour
 +
* Imagination
  
For applying to this position, please send an e-mail to Enrique
+
'''How to Apply'''
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 ==
+
Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242
  
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague
+
Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.
* 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.
+
'''About Us'''
  
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.  
+
Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..  
  
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.
+
For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014
  
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.
+
== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.
+
* Employer: University of British Columbia and BC Cancer Agency
 +
* Title: PostDoc
 +
* Specialty: Natural Language Processing, Machine Learning
 +
* Location: Vancouver, British Columbia, Canada
 +
* Deadline: Until filled
 +
* Date Posted: March 26, 2014
  
== Several Positions in Data2Text (Natural Language Generation) ==
+
'''Job Description'''
  
* Employer: Data2Text
+
The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics
* Job title: Graduate Developer, Natural Language Generation Engineer, Senior Software Architect
+
Technology Lab to conduct scientific research in the areas of bioinformatics and
* Specialty: natural language generation, analytics
+
genomics, specifically related to automated analysis and annotation of cancer
* Location: Aberdeen, Scotland, UK
+
research literature.  
* 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)
+
The successful applicant will work with trainees and research scientists in a team
research group.  We are looking to hire several people; please see our website for details
+
that develops tools for a clinical genomics pipeline based on primary sequence
http://www.data2text.com/careers
+
analysis, to build natural language processing and machine learning tools that
 +
interpret identified mutations for their biological significance as they relate
 +
to reports in the relevant literature.  
  
This is a great opportunity for people who are keen on getting NLG technology
+
'''Duties'''
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
+
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
+
typical duties will include the following:
  
== PhD-position in sentiment mining and reputation analysis==
+
* Building natural language processing and machine learning tools for automated literature survey
 +
* Analysis and annotation of data from genomics studies as they relate to the literature
 +
* Collaborating with biologists and clinical researchers on the accuracy of the results
 +
* Reporting research methods and results in meetings, seminars and conferences
 +
* Contribution to and leading scientific publications and research proposals
  
* Employer: Erasmus University Rotterdam
+
'''Required Qualifications'''
* 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 ideal candidate should possess a PhD degree and recent proven experience in computer
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.
+
science, electrical engineering or a related discipline. A strong publication record in  
 +
the field, and demonstrated technical writing skills are highly desirable. Prior research
 +
experience in bioinformatics is also desirable, but not required.
  
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
+
More experienced candidates will be considered for a Staff Scientist position, pending
 +
successful funding.
  
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
+
'''How to Apply'''
  
== PhD-position in folktale classification and clustering ==
+
Please send your resume with cover letter to bcgscjobs@bcgsc.ca
* Employer: University of Twente
+
We request that you specify the position you are applying for by identifying the Job Code
* Job title: PhD-student
+
only ("PDFBTL 14-03-27") in the subject line of your emailed application.  
* 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.
+
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
 +
residents will be given priority.  
  
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.
+
'''About Us'''
  
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
+
Genome Sciences Centre is a leading international institution for genomics and bioinformatics
 +
research. Our mandate is to advance knowledge about cancer and other diseases, to improve human
 +
health through disease prevention, diagnosis and therapeutic approaches, and to realize the
 +
social and economic benefits of genomics research.  
  
==Research Associate Position at Educational Testing Service==
+
For more information, please visit www.bcgsc.ca
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
+
* Job Title: Research Associate
+
* Location: Princeton, NJ
+
* Deadline: Open until filled
+
* Date Posted: 28-Jan-2012
+
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
+
* Contact email: dyanchuk@ets.org
+
  
'''JOB DESCRIPTION'''
+
== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
 +
* Employer: University of Massachusetts Medical School
 +
* Title: PostDoc
 +
* Specialty: Natural Language Processing, Machine Learning
 +
* Location: Worcester, Massachusetts, United States, 01605
 +
* Deadline: Until filled
 +
* Date Posted: March 26, 2014
  
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.
 
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
'''Job Description'''
  
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
+
We are seeking 1~2 highly motivated postdoctoral research associate to
 +
join the Biomedical Natural Language Processing (BioNLP) group at
 +
UMass Medical School and UMass Amherst. This position will primarily
 +
be located at the UMass Medical School in Worcester, MA. The BioNLP
 +
group is actively pursuing many exciting projects including:
 +
information retrieval, information extraction, summarization, question
 +
answering, data mining, and patient-centered research. A highly
 +
productive candidate may transition to a faculty position.
  
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
 
  
* Plan and manage annotations for a variety of projects.
+
'''Responsibilities'''
  
* 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.
+
The successful candidates will help investigate new algorithms to
 +
support our current research thrusts. This will require extensive
 +
experience with data mining (DM) and natural language processing (NLP).
  
* 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.
 
  
* Design original research instruments and methods and applications of research.
+
'''Qualifications'''
  
* 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.
+
Candidates for this position should have a PhD in Computer Science or
 +
related field and a significant research record including
 +
publications in top conferences and journals in:
  
* 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.
+
* Natural Language Processing
 +
* Machine Learning
 +
* Data Mining or Data Analysis
  
* 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.
+
Proficiency in quantitative analytical methods and strong programming
 +
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
 +
extensive research experience in hands-on machine learning (ML) and
 +
data mining (DM), is essential. Additional experience in
 +
bioinformatics or figure search and analysis is desirable.
  
* 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.
+
Successful applicants will join a vibrant collaborative research
 +
environment, will work closely with clinical investigators and senior
 +
personnel in the lab, and should have the ability to work effectively
 +
both independently and as part of a multidisciplinary team. The
 +
position will be for one year, renewable annually, starting Summer or Fall 2014.
  
* Contact, establish, and develop relationships with research community and with data sources.
 
  
* Arrange and attend conferences and meetings; present research findings at professional meetings.
+
'''How to Apply'''
  
'''EXPERIENCE AND SKILLS'''
+
Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
 +
include a brief letter of introduction, a CV including list of
 +
publications in PDF format, and names and email addresses of 2-3 referees.
  
EDUCATION
 
  
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
+
'''Background'''
  
EXPERIENCE
+
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
  
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.  
+
Competitive Salary based on experience.
  
APPLYING
+
== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==
  
Interested parties can apply for the position through the following website:
+
* Employer: Educational Testing Service
 +
* Title: Research Director NLP and Speech Processing
 +
* Specialty: Natural Language Processing / Speech Processing
 +
* Location: Princeton, New Jersey, United States, 08541
 +
* Deadline: Until filled
 +
* Date Posted: March 12, 2014
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
+
'''Job Description:'''
  
If there are any questions, please contact:
+
ETS (Educational Testing Service), is headquartered in Princeton, NJ. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.
  
Dave Yanchuk
+
Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.
(609) 406-5291
+
dyanchuk@ets.org
+
  
 +
Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.
  
==Postdoc Position at HRL Laboratories==
+
In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.
* Employer: HRL Laboratories, LLC
+
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
+
* Location: Malibu, CA
+
* Deadline: Open until filled
+
* Date Posted: 26-Jan-2012
+
* Contact email: hmoon@hrl.com
+
  
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.
+
Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.
For job considerations, please send your cover letter and CV to hmoon@hrl.com.  
+
  
Job Description:
+
'''Requirements:'''
  
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
+
To qualify, you must possess:
 +
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
 +
* Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
 +
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.
  
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.
+
'''How to Apply:'''
  
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.  
+
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
  
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.
+
'''Information about the institute:'''
  
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.  
+
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.  
  
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.  
+
With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer
  
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.
+
== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==
  
 +
* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
 +
* Title: Research Intern
 +
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
 +
* Location: Darmstadt/Frankfurt am Main, Germany
 +
* Deadline: Until filled
 +
* Date Posted: January 20, 2014
 +
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de
  
==Postdoc Position at Aberdeen University==
+
'''Job Description:'''
* 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
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
  
Go to: http://www.abdn.ac.uk/jobs/index.php
+
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
Click on "External Applicants"
+
Enter the Post Reference Number 1228867 and click "Search"
+
  
==Postdoc or Research Associate - Natural Language Processing==
+
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)  
* 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'''
+
The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
+
 
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.
+
The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.
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.
+
'''Requirements:'''
 +
 
 +
We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.
 +
 
 +
We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.
 +
 
 +
 
 +
'''How to Apply:'''
 +
 
 +
Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.
 +
 
 +
 
 +
'''Information about the institute:'''
 +
 
 +
The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.
 +
 
 +
 
 +
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
 +
 
 +
* Employer: The German Institute for International Educational Research (DIPF)
 +
* Title: Research Scientist
 +
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
 +
* Location: Frankfurt am Main, Germany
 +
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
 +
 
 +
'''Information about the institute:'''
 +
 
 +
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 +
 
 +
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.
 +
 
 +
 
 +
'''Job Description:'''
 +
 
 +
At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an
 +
 
 +
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
 +
 
 +
The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in  textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).
 +
 
 +
The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.
 +
 
 +
The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for  the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).
 +
 
 +
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
 +
 
 +
Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 +
 
 +
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 +
 
 +
'''Requirements:'''
 +
 
 +
* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
 +
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
 +
* Very good English language skills (written and spoken) and at least basic knowledge of German;
 +
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;
 +
 
 +
Experience in automated language processing, text mining or digital humanities is preferred.
 +
 
 +
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 +
 
 +
 
 +
'''How to apply:'''
 +
 
 +
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 +
 
 +
 
 +
 
 +
== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
 +
 
 +
* Employer: The German Institute for International Educational Research (DIPF)
 +
* Title: Research Scientist
 +
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
 +
* Location: Frankfurt am Main, Germany
 +
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
 +
 
 +
'''Information about the institute:'''
 +
 
 +
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 +
 
 +
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.
 +
 
 +
'''Job Description:'''
 +
 
 +
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
 +
 
 +
* Research Scientist (two-year contract, full time, EG13 TV-H*)
 +
 
 +
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
 +
 
 +
 
 +
The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013  at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education.  The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.
 +
 
 +
The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.
 +
 
 +
The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
 +
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management. 
 +
 
 +
A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 +
 
 +
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 +
 
 +
 
 +
'''Requirements:'''
 +
 
 +
- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
 +
- Very good English language skills (written and spoken) and at least basic skills in German;
 +
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
 +
- Experience in coordinating distributed software development and its Integration;
 +
- Experience in conceptualising and conducting events for scientists, users, and the public.
 +
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.
 +
 
 +
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
 +
 
 +
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 +
 
 +
 
 +
'''How to apply:'''
 +
 
 +
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 +
 
 +
 
 +
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
 +
 
 +
* Employer: Institute of Information Science, Academia Sinica
 +
* Rank or Title: Assistant/Associate/Full Research Fellow
 +
* Specialty: Chinese Natural Language Processing and Knowledge Representation
 +
* Location: Taipei, Taiwan
 +
* Deadline: Open until filled
 +
* Date Posted: January 7, 2014
 +
* Contact email: recruit@iis.sinica.edu.tw
 +
 
 +
'''Job Description:'''
 +
 
 +
The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.
 +
 
 +
Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.
 +
 
 +
Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.
 +
 
 +
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
 +
 
 +
'''Required Qualifications:'''
 +
 
 +
All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.
 +
 
 +
Fluency in Chinese is an advantage, but not required.
 +
 
 +
'''How to Apply:'''
  
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.
+
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
+
Required:
+
  
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
+
Dr. Wen-Lian Hsu, Director
  
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
+
Institute of Information Science
  
▪ Ph.D. in computational linguistics / natural language processing or related areas.
+
Academia Sinica
  
Skills and Experience:
+
Nankang 115, Taipei, Taiwan
  
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
TEL: 886-2-2788-3799ext.1804
  
▪ 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.
+
FAX:886-2-2782-4814
  
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
+
E-mail: recruit@iis.sinica.edu.tw
  
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
  
Apply to Yorick Wilks at: ywilks@ihmc.us
+
* Employer: Johns Hopkins University
 +
* Rank or Title: Postdoctoral Fellow
 +
* Specialty: Computational Linguistics/Cognitive Science
 +
* Location: Baltimore, MD, USA
 +
* Deadline: February 17, 2014 or until filled
 +
* Date Posted: January 7, 2014
 +
* Contact email: INSPIREpostdoc@jhu.edu
  
 +
'''Brief Job Description:'''
  
 +
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.
  
+
The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.
== 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'''
+
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
  
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.
+
'''Detailed Job Description:'''
  
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.
+
The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.
  
The 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 Research.  More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/
+
The ideal appointee will conduct development and extensive testing of:
  
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.
+
* general-purpose software to support symbolic-level computation over gradient symbol structures
  
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
  
Dr. Matt Huenerfauth, Search Committee Chair
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* new machine-learning algorithms, including deep compositional networks
  
Department of Computer Science
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* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  
Queens College-CUNY
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* new psycholinguistic models of human syntactic production and comprehension processes
  
65-30 Kissena Blvd.  
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Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.  
  
Flushing, New York 11365-1597
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The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
  
matthew.huenerfauth (at) qc.cuny.edu
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'''How to Apply:'''
  
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.
+
Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.  
  
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.
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Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.

Latest revision as of 17:58, 10 September 2014

Contents

Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL

  • Employer: Toyota Technological Institute at Chicago
  • Title: Visiting student researcher
  • Specialty: Machine learning, NLP, speech
  • Location: Chicago, IL, United States, 60637
  • Deadline: Until filled
  • Date Posted: Sept 10, 2014


Job Description

Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.


The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).


The target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.


Responsibilities

The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.


Qualifications

Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.


How to Apply

Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:

  • brief cover letter, describing your interest in and qualifications for the position
  • curriculum vitae including publication list
  • two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)

Please see http://ttic.edu/bansal/slu-job.html for more information.


NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA

  • Employer: Civis Analytics
  • Title: Data Scientist
  • Specialty: Natural Language Processing / Speech Processing / Machine Learning
  • Location: Chicago, Illinois, USA
  • Deadline: Rolling
  • Date Posted: July 7, 2014

Who We Are:

Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”

Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems. We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.

We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.

We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.

We are smart, fun, and a little bit weird. Does this sound like you?

Job Description:

The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.

With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.

We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

Minimum Qualifications:

  • Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
  • Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
  • Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
  • Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
  • Experience with SQL databases
  • Strong programming skills
  • Experience identifying and correcting for problems in imperfect data
  • An ability and eagerness to constantly learn and teach others

Preferred Qualifications:

  • PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
  • Ability to expand upon modern statistical learning methods
  • Significant work experience in applying the methodology of one or more unstructured data analysis fields
  • High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
  • Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
  • Theoretical understanding sufficient to independently implement complex neural network architectures

Location:

This posting is for a position in Civis’ Chicago headquarters.

Dates:

We are hiring for multiple positions and will evaluate candidates as applications are received.

How to Apply:

Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il. Specific inquiries may be directed to Derrick Higgins: dhiggins@civisanalytics.com.


Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France

  • Employer: Aix-Marseille University
  • Title: Postdoc
  • Specialty: Natural Language Processing
  • Location: Luminy, Marseille, France
  • Deadline: July 1st, 2014
  • Date Posted: June 12, 2014

Job Description:

We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You will contribute to conversation analysis summarization research to allow the exploitation of large quantity of comments in social media and spoken conversations.

You will contribute to the design and development of speech and text summarization technologies for conversational data such as social media comments and tweets. There will be three components to the system: linguistic analysis of the conversations, content selection and aggregation, and generation of the summaries (text or other media). The approach is expected to make use of recent machine learning advances such as deep learning, and focus on limiting the quantity of supervision needed. The prototype will be evaluated by end-user professionals in ecological conditions.

Qualifications:

The applicant must hold a PhD degree, preferably in the field of natural language processing or machine learning. He/she should:

  • Be proficient in one of Java / C++ programming and python or php scripting
  • Have experience with developing efficient NLP / machine learning systems.
  • Be keen on researching the literature and writing papers
  • Enjoy team work and be autonomous

Location:

You will work at the LIF computer science lab at Aix-Marseille University in France, at the Luminy campus next to the calanques.

Dates:

Interviews will be held in July 2014, the Postdoc will start in september / october 2014 and last one year.

How to Apply:

Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr

Executive Director / CLARIN ERIC / Utrecht University, the Netherlands

  • Employer: CLARIN ERIC through Utrecht University
  • Title: Executive Director
  • Specialty: Research Infrastructures
  • Location: Utrecht University, the Netherlands
  • Deadline: August 15, 2014
  • Date Posted: June 10, 2014

Job Description:

CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.

As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.

The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.

Responsibilities:

  • Leading the Board of Directors of the CLARIN ERIC
  • Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
  • Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
  • Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
  • Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
  • Leading the international fundraising efforts for CLARIN
  • Monitoring and measuring CLARIN’s activities and reporting to General Assembly
  • Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
  • Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
  • Planning, organizing, and managing the main office in Utrecht, which includes recruitment
  • Facilitating and supporting the operation of CLARIN’s governance bodies

Qualifications:

  • A higher university degree or equivalent qualifications and an international interdisciplinary network
  • Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
  • An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
  • Excellent communicative skills
  • A proven fundraising record
  • A record of relevant academic excellence
  • The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies

How to Apply

For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director


Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California

  • Employer: Bosch Research & Technology Center
  • Title: Research Scientist in Natural Language Technologies (PhD)
  • Specialty: Natural Language Processing
  • Location: Palo Alto, California, United States, 94304
  • Deadline: Until filled
  • Date Posted: May 19, 2014

Job Description:

The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers. We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.

To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.

Responsibilities:

  • Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
  • Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
  • Communicate with business departments about the technology potentials as well as identify potential areas of business values.


Qualifications:

  • Ph.D. in Computer Science or related fields
  • Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
  • Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
  • Strong skills in coding (C/C++ or Java), algorithms and system design
  • Very good communication skill together with good quality publication
  • Experience in text summarization research and development is a plus
  • Experience in large system development and speech technology is a plus


How to Apply

For more information, and to apply online, please visit http://bit.ly/1k8UZ57


Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL

  • Employer: Toyota Technological Institute at Chicago
  • Title: Post-doctoral scholar
  • Specialty: Machine learning, NLP, computer vision, speech
  • Location: Chicago, IL, United States, 60637
  • Deadline: Until filled
  • Date Posted: May 12, 2014


Job Description

Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.


The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.


The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan. The position will remain open until filled.


Responsibilities

The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.


Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.


Qualifications

Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field. There are no citizenship requirements.


How to Apply

Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:

  • brief cover letter, describing your interest in and qualifications for the position
  • curriculum vitae including publication list
  • contact information for two or more researchers who can provide letters of reference

Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.

Postdoctoral Fellow / INRIA / Saclay

  • Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
  • Title: PostDoc (12 months)
  • Specialty: Natural Language Processing
  • Location: Palaiseau, Ile-de-France, France
  • Deadline: June 30, 2014
  • Date Posted: May 6, 2014


Job Description

The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.

Duties

Reporting to the Dr. Gregory Grefenstette, your typical duties will include the following:

  • Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
  • Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
  • Discover and adapt existing open data taxonomies to the platform;
  • Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources


Required Qualifications

The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer science, computational linguistics or a related discipline.

  • Experience with natural language processing (e.g., Stanford Parser)
  • Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
  • Experience with classification algorithms
  • Familiarity with dealing with large, noisy data sets
  • Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
  • Desire to produce functioning end-to-end systems, life-scale live demos
  • Scientific rigour
  • Imagination

How to Apply

Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242

Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.

About Us

Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..

For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014

Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre

  • Employer: University of British Columbia and BC Cancer Agency
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Vancouver, British Columbia, Canada
  • Deadline: Until filled
  • Date Posted: March 26, 2014

Job Description

The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics Technology Lab to conduct scientific research in the areas of bioinformatics and genomics, specifically related to automated analysis and annotation of cancer research literature.

The successful applicant will work with trainees and research scientists in a team that develops tools for a clinical genomics pipeline based on primary sequence analysis, to build natural language processing and machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.

Duties

Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your typical duties will include the following:

  • Building natural language processing and machine learning tools for automated literature survey
  • Analysis and annotation of data from genomics studies as they relate to the literature
  • Collaborating with biologists and clinical researchers on the accuracy of the results
  • Reporting research methods and results in meetings, seminars and conferences
  • Contribution to and leading scientific publications and research proposals

Required Qualifications

The ideal candidate should possess a PhD degree and recent proven experience in computer science, electrical engineering or a related discipline. A strong publication record in the field, and demonstrated technical writing skills are highly desirable. Prior research experience in bioinformatics is also desirable, but not required.

More experienced candidates will be considered for a Staff Scientist position, pending successful funding.

How to Apply

Please send your resume with cover letter to bcgscjobs@bcgsc.ca We request that you specify the position you are applying for by identifying the Job Code only ("PDFBTL 14-03-27") in the subject line of your emailed application.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

About Us

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA

  • Employer: University of Massachusetts Medical School
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Worcester, Massachusetts, United States, 01605
  • Deadline: Until filled
  • Date Posted: March 26, 2014


Job Description

We are seeking 1~2 highly motivated postdoctoral research associate to join the Biomedical Natural Language Processing (BioNLP) group at UMass Medical School and UMass Amherst. This position will primarily be located at the UMass Medical School in Worcester, MA. The BioNLP group is actively pursuing many exciting projects including: information retrieval, information extraction, summarization, question answering, data mining, and patient-centered research. A highly productive candidate may transition to a faculty position.


Responsibilities

The successful candidates will help investigate new algorithms to support our current research thrusts. This will require extensive experience with data mining (DM) and natural language processing (NLP).


Qualifications

Candidates for this position should have a PhD in Computer Science or related field and a significant research record including publications in top conferences and journals in:

  • Natural Language Processing
  • Machine Learning
  • Data Mining or Data Analysis

Proficiency in quantitative analytical methods and strong programming skills (e.g., python, matlab, java, C/C++, weka, etc.), along with extensive research experience in hands-on machine learning (ML) and data mining (DM), is essential. Additional experience in bioinformatics or figure search and analysis is desirable.

Successful applicants will join a vibrant collaborative research environment, will work closely with clinical investigators and senior personnel in the lab, and should have the ability to work effectively both independently and as part of a multidisciplinary team. The position will be for one year, renewable annually, starting Summer or Fall 2014.


How to Apply

Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and include a brief letter of introduction, a CV including list of publications in PDF format, and names and email addresses of 2-3 referees.


Background

Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.

Competitive Salary based on experience.

Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey

  • Employer: Educational Testing Service
  • Title: Research Director NLP and Speech Processing
  • Specialty: Natural Language Processing / Speech Processing
  • Location: Princeton, New Jersey, United States, 08541
  • Deadline: Until filled
  • Date Posted: March 12, 2014

Job Description:

ETS (Educational Testing Service), is headquartered in Princeton, NJ. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.

Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.

Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.

In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.

Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.

Requirements:

To qualify, you must possess:

  • A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
  • Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
  • Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.

How to Apply:

Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538

Information about the institute:

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.

With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer

Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

  • Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
  • Title: Research Intern
  • Specialty: Natural Language Processing / Text Mining / Digital Humanities
  • Location: Darmstadt/Frankfurt am Main, Germany
  • Deadline: Until filled
  • Date Posted: January 20, 2014
  • Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de

Job Description:

The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as

  • Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)

The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.

The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.

Requirements:

We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.

We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.


How to Apply:

Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.


Information about the institute:

The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.


Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: Automated Language Processing / Text Mining / Digital Humanities
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.


Job Description:

At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an

  • Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)

The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).

The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.

The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).

We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).

Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

Requirements:

  • Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
  • Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
  • Very good English language skills (written and spoken) and at least basic knowledge of German;
  • Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;

Experience in automated language processing, text mining or digital humanities is preferred.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: scientific coordination and transfer in computer science, knowledge and language processing
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.

Job Description:

At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a

  • Research Scientist (two-year contract, full time, EG13 TV-H*)

for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.


The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013 at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education. The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.

The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.

The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web. We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.

A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)


Requirements:

- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain; - Very good English language skills (written and spoken) and at least basic skills in German; - Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate; - Experience in coordinating distributed software development and its Integration; - Experience in conceptualising and conducting events for scientists, users, and the public. - Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.

Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan

  • Employer: Institute of Information Science, Academia Sinica
  • Rank or Title: Assistant/Associate/Full Research Fellow
  • Specialty: Chinese Natural Language Processing and Knowledge Representation
  • Location: Taipei, Taiwan
  • Deadline: Open until filled
  • Date Posted: January 7, 2014
  • Contact email: recruit@iis.sinica.edu.tw

Job Description:

The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.

Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.

Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.

For additional information about IIS, please visit http://www.iis.sinica.edu.tw

Required Qualifications:

All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.

Fluency in Chinese is an advantage, but not required.

How to Apply:

All candidates should send detailed curriculum vitae, and at least three letters of recommendation to

Dr. Wen-Lian Hsu, Director

Institute of Information Science

Academia Sinica

Nankang 115, Taipei, Taiwan

TEL: 886-2-2788-3799ext.1804

FAX:886-2-2782-4814

E-mail: recruit@iis.sinica.edu.tw

Computational Postdoc position, Johns Hopkins University, Cognitive Science

  • Employer: Johns Hopkins University
  • Rank or Title: Postdoctoral Fellow
  • Specialty: Computational Linguistics/Cognitive Science
  • Location: Baltimore, MD, USA
  • Deadline: February 17, 2014 or until filled
  • Date Posted: January 7, 2014
  • Contact email: INSPIREpostdoc@jhu.edu

Brief Job Description:

Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.

The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.

Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics

Detailed Job Description:

The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.

The ideal appointee will conduct development and extensive testing of:

  • general-purpose software to support symbolic-level computation over gradient symbol structures
  • general-purpose software for simulating neural network implementations of this gradient symbolic computation
  • new machine-learning algorithms, including deep compositional networks
  • new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  • new psycholinguistic models of human syntactic production and comprehension processes

Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.

The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.

How to Apply:

Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.

Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.