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

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* '''[[Instructions for Posting Job Ads]]'''
 
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
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* See also the [http://linguistlist.org/jobs Linguist Job List].
 
* Archived postings:
 
* Archived postings:
** [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
 
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==Postdoctoral Fellow and Software Engineer postions in biomedical natural language processing, machine learning and biomedical informatics==
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* Employer: UMass Medical School Worcester
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* Title: Post-doctoral fellow or Software Engineer
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* Topics: Biomedical natural language processing, machine learning, bioinformatics, algorithm development, big data analytics
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* Deadline: until filled
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* Date Posted: 24 May 2015
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* apply by contacting elaine.freund@umassmed.edu
  
== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==
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'''Job Description'''
  
* Employer: Qatar Computing Research Institute (http://www.qcri.qa)
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We are recruiting for multiple positions at levels from Post Doctoral Fellow to Software Engineer to participate research and software development in biomedical natural language processing (NLP) and biomedical informatics.  The group’s research (http://www.bio-nlp.org/index.php/projects) involves developing algorithms and tools for gathering, analyzing and interpreting heterogeneous data from multiple sources both clinically and research related. Recruits will lead development efforts in web service tools and search engines that: retrieve and summarize big data in biomedical domain, automatically extracting information from pdf files and extracting text from images, integrate novel biomedical text mining algorithms into the web tools and search engines to enable intelligent semantic search, and mining electronic health record data for pharmacovigilance.  
* Rank or Title: Intern/Research associate/Research assistant
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* Specialty: Information retrieval, text mining, natural language processing
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* Location: Doha, Qatar
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* Deadline: May 31, 2013
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* Date Posted: March 15, 2013
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* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa
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'''POSITION DESCRIPTION'''
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If you are highly motivated and passionate about research in big data processing or software engineering or have in-depth knowledge and hands on implementation experience with web service tools and are interested in learning more about us, please contact elaine.freund@umassmed.edu with your resume or CV and a cover letter.
  
The NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.
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General Summary of Postdoc Fellow Position: PhD in Computer Science, computational linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.  
  
'''INTERNSHIP TASKS INCLUDE'''
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General Summary of Software Engineer Position:
* Development of effective techniques for information filtering from social media
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Under the direction of the Faculty or designee, the Software Engineer I assists with the design, development, implementation and integration of web service tools, search engines, utilities, applications and enhancements in a complex medical/academic research computing environment.
* Diversity analysis, categorization, and summarization of search results
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* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search
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* Web design/development of visualization schemes for social search results
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* Conducting project-related research work supervised by scientists in the team
+
  
'''EXPECTED APPLICANTS SHOULD BE/HAVE'''
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==Research Scientist in natural language processing, machine learning, knowledge discovery, data analytics at IBM Research-Almaden==
* PhD/Master students in computer science or related field
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* Employer: IBM Research
* At least 1-year research experience
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* Title: Research Scientist
* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.
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* Topics: Nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics
* Background in social network analysis and/or natural language processing is a plus
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* Location: San Jose, California, USA
* Basic knowledge of Arabic language can help but is not mandatory
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* Deadline: 1 June 2015
* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)
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* Date Posted: 6 May 2015
 +
* Online application: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0751127
  
'''INTERNSHIP NATURE'''
+
'''Job Description'''
  
Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents.  
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IBM Research - Almaden is looking for researchers to join the Natural Language Processing (NLP), Entity Resolution and Discovery (NERD) Department. Our research focuses include high-value content creation from variety of public and third-party data sources, scalable and usable analytics tools for individual stages in analyzing such data sources, such as text analytics, entity resolution, large-scale machine learning, techniques and methods for scalable and flexible indexing and querying support over enriched content, and consumable interfaces for accessing such data sources, including natural language interfaces. An example project is SystemT (http://ibm.co/1Cdm1Mj).
  
Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.
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We are currently looking for a Research Staff Member to conduct research with large scale real-world heterogeneous data in the area of advanced analytics, such as nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics. This role generates highly novel ideas, both theoretical and experimental, in a specific engineering or scientific discipline and invents and designs complex products and processes. This position may be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their design and development. The full cycle of innovation to delivery is typically a multiple-year effort.
  
'''ABOUT QCRI'''
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The candidate is also responsible for internally and externally disseminating the results of such activities through publications, patent disclosures, seminar participation, technical documentation, etc. The candidate represents IBM at professional conferences, in professional societies and universities and functions as an internal consultant in the areas of professional expertise.
  
Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.
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'''Required'''
  
QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.
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* Master's Degree
 +
* At least 1 year experience in developing advances in Computer Science disciplines
 +
* At least 1 year experience in performing Scientific Research
 +
* English: Intermediate
  
'''APPLICATION'''
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'''Preferred'''
  
Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now
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* Doctorate Degree in Information Technology
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* At least 3 years experience in developing advances in Computer Science disciplines
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* At least 3 years experience in performing Scientific Research
 +
* English : Fluent
  
For more information, please visit:
+
'''Additional Information'''
http://www.qcri.qa
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http://qcri.qa/our-research/arabic-language-technologies
+
  
 +
The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.
 +
 +
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
  
== Post-doctoral fellow -- KU Leuven ==
 
  
* Employer: Department of Computer Science, KU Leuven, Belgium
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==PhD position in statistical language modelling==
* Rank or Title: Post-doctoral fellow
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* Employer: Cardiff University
* Specialty: Information Extraction, text understanding, machine reading
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* Title: PhD scholarship
* Location: Leuven, Belgium
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* Topics: Statistical language modelling, relation extraction, social media
* Deadline: March 15, 2013
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* Location: Cardiff, UK
* Date Posted: March 2, 2013
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* Deadline: 1 June 2015
* Contact email: Marie-Francine.Moens@cs.kuleuven.be
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* Date Posted: 7 April 2015
 +
* Online application: http://courses.cardiff.ac.uk/funding/R2497.html
  
'''Position description'''
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'''Job Description'''
The KU Leuven offers an F+ fellowship to an outstanding postdoctoral researcher who is specialized in natural language processing and machine learning. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and should have published several papers in any of the following journals or conferences:
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* Computational Linguistics, Computer Speech and Language, Artificial Intelligence, Journal of Machine Learning Research, Machine Learning, IEEE Intelligent Systems, ACM Transactions on Information Systems, or equivalent venues
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* Proceedings of ACL, EACL, NAACL-HLT, COLING, IJCAI, SIGIR, CIKM, ICML, ECAI, ECML, or equivalent venues.
+
  
 +
Applications are invited for a PhD Scholarship at the Cardiff School of Computer Science & Informatics in the area of statistical language modelling. Specifically, the aim of the project will be to develop methods for modelling the meaning of natural language terms, based on data from social media and other web sources. For example, by analysing the tags associated with Flickr photos, the developed methods will be able to learn that a church is a kind of building, that churches tend to be larger than typical buildings and that chapels are similar to churches. The results of this project will be used to improve methods from artificial intelligence for commonsense reasoning, and will among others enable more intelligent web search engines.
  
'''Application instructions '''
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'''Funding and eligibility'''
  
Please send your application to Marie-Francine Moens (marie-francine.moens@cs.kuleuven.be) the latest by March 15, 2013. Please add a CV, grade transcripts, and publication list. Reference letters may be useful as well.
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This studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£14,057 p.a. for 2015/16, updated each year). This studentship is open to students of any nationality. Students classified as international for fee purposes have to self-fund the difference between home and international fees.
  
 +
Candidates should:
  
'''Other considerations'''
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* either have (or expect to have by Autumn 2015) a good honours degree in a relevant discipline (minimum 2:1);
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* or have a masters degree with distinction in the research dissertation in a relevant discipline;
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* or have professional qualifications deemed by Cardiff University to be equivalent to the above;
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* or be over 25 and have relevant work experience in a position of responsibility.
  
Situated in the heart of Western Europe, KU Leuven has been a centre of learning for almost six centuries. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied research.  It is strongly inter- and multidisciplinary in focus and strives for international excellence. To this end, KU Leuven works together actively with its research partners at home and abroad.
+
The methods will rely heavily on methods from statistics and linear algebra, hence a strong background in mathematics will be required, in addition to excellent programming skills. A strong mathematical background and excellent programming skills will also be required.
  
The postdoctoral position will be for one year starting in the late Spring or Summer 2013 and can be prolonged. He or she has a large interest in "machine reading" and semantic processing of text. The candidate has completed the PhD with success as evidenced by multiple publications in the venues cited above. He or she must have obtained a PhD from a university other than KU Leuven and must preferably have an international profile. He or she has a master degree (cum laude) in computer science, electrical engineering, mathematics, physics or a related discipline. The candidate does not have a postdoctoral status for more than six years. In order to be taken into consideration, the candidate must be available on a full-time basis. Furthermore, the candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.
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Applicants are particularly welcomed from candidates with a background in computer science.
  
 +
If your first language is not English you must provide evidence of competence in English. Our standard requirement is an overall IELTS result of at least 6.5, with a minimum of 6.5 in writing, and a minimum of 6.0 in speaking, listening and reading.
  
== Post-doctoral fellows -- University of Alberta ==
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'''Further information'''
  
* Employer: Department of Computing Science, University of Alberta
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For further information and instructions on how to apply, please see http://courses.cardiff.ac.uk/funding/R2497.html
* Rank or Title: Post-doctoral fellow
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* Specialty: Information Extraction
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* Location: Edmonton, AB, Canada
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* Deadline: March 15 2013, but applications are accepted until positions are filled
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* Date Posted: 26 February 2013
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* Contact email: denilson@ualberta.ca
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'''Position Description'''
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==Postdoctoral Researcher in NLP at U.S. Army Research Lab==
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* Employer: U.S. Army Research Lab, Adelphi Laboratory Center
 +
* Title: Postdoctoral Researcher
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* Topics: Natural Language Processing
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* Location: Adelphi, MD, USA
 +
* Deadline: Open until filled
 +
* Date Posted: March 17, 2015
 +
* Contact: Dr. Stephen Tratz (stephen.c.tratz.civ@mail.mil)
  
The Department of Computing Science at the University of Alberta is seeking applicants for post-doctoral fellows to work on a project related to information extraction. The ideal candidates are recent PhDs in Computer Science with strong background in information retrieval, linked open data, natural language processing, and information extraction from the web. Other areas where expertise is desirable include graph data management, network analysis, data analytics, and the semantic web.
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'''Job Description'''
  
The projects will be conducted in the context of the NSERC Business Intelligence Network (http://bin.cs.utoronto.ca/), a collaborative research initiative involving several top Canadian Universities and key industrial partners IBM Canada, SAP Canada, and Palomino System Innovations Inc.  
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The Multilingual Computing Branch (MLCB) at the U.S. Army Research Laboratory's Adelphi Laboratory Center, located in the Washington, D.C. metro area, is seeking to hire new post-doctoral fellows. MLCB has several ongoing efforts in computational linguistics/natural language processing, including active projects in machine translation, human-robot communication, and social media analysis. The branch is also pursuing new interdisciplinary initiatives to address the language processing challenges in cyber-security and video analytics.
  
The fellows will work under the supervision of PI Denilson Barbosa, within a team of PhD and MSc students, and build on ongoing work in information extraction with applications in business and environmental data. These positions will require the development of practical prototypes and proof-of-concept systems, as well as dissemination of research results in top venues. As such, emphasis should be given on the application materials to hands-on experience with large-scale datasets.
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Candidates should have substantial research experience in machine learning methods (e.g., deep neural networks) as applied to emerging areas involving computational linguistics.  Areas of interest include:  text/video analytics, computational social science, machine translation, domain adaptation, data selection, low-resource language processing, morphologically complex languages, knowledge representation and reasoning, spoken language interfaces and dialogue, and multimedia processing.
  
Qualified candidates must hold a PhD at the time of appointment. The stipend will be in accordance with NSERC standards (CAD$ 40,000 plus benefits), with the possibility of a 10-20% top-up depending on qualifications.
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The lab encourages external collaboration and maintains multiple partnerships with universities and research institutions, which enable faculty and student exchanges as well as joint research and publishing (http://www.arl.army.mil/www/default.cfm?page=93). ARL’s new open campus initiative is attracting national and international partners from academia and industry to work with ARL scientists and engineers in areas of common research interest (see http://www.arl.army.mil/www/default.cfm?page=2357), and ARL researchers have begun releasing open source code via GitHub (see http://www.army.mil/article/141734/Army_cyber_defenders_open_source_code_in_new_GitHub_project/).  ARL facilities include multiple high-end supercomputing clusters with over 10,000 cores and capable of at least 350 TFlops.  
  
'''Application instructions '''
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'''Requirements'''
  
To apply, send an updated CV, cover letter, and the names and official contact information (university or company email and phone number) of three references to Denilson Barbosa <denilson@ualberta.ca>.
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* Ph.D. or equivalent research experience in computer science, statistics, mathematics, or related field
  
Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.
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'''How to Apply'''
  
'''Other Considerations'''
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If interested, please email your CV and the names and contact information of three or more references to Dr. Stephen Tratz at the email provided above.
  
The University of Alberta, one of Canada's largest research universities is situated in Edmonton, a metropolitan area of over one million people with a vibrant research community and an excellent standard of living. The Department of Computing Science at the University of Alberta is widely recognized as a leading CS department, both within Canada and worldwide.
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==Postdoctoral Researcher in NLG for Narrative==
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* Employer: Liquid Narrative Group, North Carolina State University  
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* Title: Postdoctoral Research Scholar
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* Topics: Natural Language Generation, Narrative Generation, Knowledge Representation, AI Planning
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* Location: Raleigh NC, USA
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* Deadline: Open Until Filled
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* Date Posted: March 10, 2015
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* Online Application: http://jobs.ncsu.edu/postings/40524
  
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
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'''Job Description'''
  
The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.
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The Liquid Narrative group at North Carolina State University is seeking a postdoctoral researcher to collaborate on a large-scale narrative generation project. The goal of this project is to build computational tools for the use of narrative in sense-making tasks. Research thrusts include the creation of formalisms for representing story and discourse knowledge and the development of narrative generation algorithms able to create multiple narrative discourses from a given story, adapt these discourses to an audience, and elicit different effects such as surprise or suspense. This project aims at creating a large-scale narrative-generation system that can extract story data from various sources (e.g., video game logs) and create narratives in and across several media such as text, animated movies or maps.
  
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The postdoctoral researcher will contribute to the design and development of narrative generation and summarization technologies, focusing on the microplanning aspect of text generation. In particular, he or she will extend an existing narrative discourse generation prototype that outputs basic sentences using the SimpleNLG library. Our aim is to update this architecture by integrating an NLG system such as FUF/Surge, KPML or RealPro. To improve the quality of the generated text, the postdoctoral researcher will work on topics such as: aggregation, generation of referring expressions, discourse markers insertion, lexical choice and/or other aspects of realization that are specific to narrative as a genre.
  
== Research Scientist - Xerox Research Centre Europe ==
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He/she may also participate in research efforts on the automated generation of multimedia presentations involving text, video and maps. He/she is expected to collaborate in performing scientific evaluations of the systems, and in writing academic research papers.
  
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
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'''Requirements'''
* Rank or Title: Research Scientist
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* Specialty: Statistical Natural Language Processing
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* Location: Grenoble, France
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* Deadline: Applications accepted until position is filled
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* Date Posted: 14 February 2013
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* Contact email: James.Henderson@xrce.xerox.com
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'''Position Description'''
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The applicant must hold a PhD degree, preferably in the area of computational linguistics or natural language generation. He/she should have:
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* Experience with developing NLG systems
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* Excellent software-design and problem-solving skills
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* Good programming skills
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* Excellent written and oral communication skills
  
The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning and/or information extraction (e.g. event extraction).  The ideal candidate would also have experience or knowledge of textual entailment, knowledge representation, and combining machine learning with expert knowledge.  The applicant should have good coding skills (e.g. Java programming), with the ability to develop research prototypes and pilots.
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Experience in the following areas would be a plus:
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* Automated discourse planning technologies
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* Dialogue generation
  
The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.
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'''Position details'''
  
The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problemsOur general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services.  
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This is a full-time position.
 +
Expected start date is April 1, 2015 and the initial funding for the position runs through December 31, 2015The position may be extendable depending on availability of funds.
  
See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities
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Interested candidates should view the official Human Resources posting and submit applications through the NC State University HR web page at http://jobs.ncsu.edu/postings/40524
  
'''Requirements'''
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NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.  Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.
  
* PhD in Computer Science or Computational Linguistics
 
* NLP knowledge and experience
 
* Knowledge or experience in machine learning or information extraction
 
* Object oriented programming skills (e.g. java)
 
* Strong written and oral communications skills in English
 
  
'''Application instructions '''
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==PhD-level Researchers in Language Technology or Computational Linguistics==
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* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
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* Title: PhD-level Researchers in Language Technology or Computational Linguistics
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* Topics: Natural Language Processing, Summarization, Opinion Mining
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* Location: Darmstadt (Germany)
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* Deadline: open until the position is filled
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* Date Posted: March 4, 2015
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* Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de
  
The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled.
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'''Job Description'''
  
Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
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The newly established Research Training Group „[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.
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PhD-level Researchers in Language Technology or Computational Linguistics
  
== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==
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The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
  
* Employer: CNGL, Dublin City University http://www.cngl.ie
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* A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
* Rank or Title: PhD, Post-Doc and Research Programmer
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* B1: Structured summaries of complex contents (TU Darmstadt)
* Specialty: Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics
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* B2: Content selection based on linked lexical resources (TU Darmstadt)
* Location: Dublin, Ireland
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* D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
* Deadline: February 25, 2013
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* D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)
* Date Posted: January 30, 2013
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The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.  
* Start Date: March, 2013
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* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
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* Contact email: dgroves@computing.dcu.ie
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'''For More Details'''
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The goal of AIPHES is to conduct innovative research on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.
  
http://www.cngl.ie/vacancies.html
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Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann), Multimedia Communications (Dr. Rensing). Participants at the Ruprecht-Karls-University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.  
  
'''Position Description'''
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AIPHES will emphasize close contact between students and their advisors, have regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
  
CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.
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'''Requirements'''
  
CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize.  
+
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.  
  
CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.
+
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.  
  
The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.
+
Applications should include
  
DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.
+
* a motivational letter that refers to one of the above listed guiding themes,
 +
* a CV with information about the applicant’s scientific work,
 +
* certifications of study and work experience,
 +
* as well as a thesis or other publications in electronic form.
 +
They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.
  
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
 
  
'''PhD Studentships'''
+
==Research staff position in Natural Language Processing==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: Research staff position in Natural Language Processing
 +
* Topics: Natural Language Processing, Question Answering
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de
  
*Parsing, Analytics and Information Extraction:
+
'''Job Description'''
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.
+
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.
+
*Information Retrieval:
+
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications
+
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources
+
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis
+
**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content
+
*Machine Translation:
+
**Syntax- and Semantics-Enhanced Machine Learning Based MT
+
**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
+
**Human interaction with MT output: Usability, Acceptability, Post-editing Research
+
**MT and Multimodal Interaction
+
**MT for Multimodal Cross Language Information Retrieval
+
  
'''Post-Doctoral Positions'''
+
The [https://www.ukp.tu-darmstadt.de Ubiquitous Knowledge Processing Lab] (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic [https://www.ukp.tu-darmstadt.de/research/current-projects/qa-eduinf research project] conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.
  
*Parsing, Analytics and Information Extraction:
+
The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
+
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
+
*Machine Translation:
+
**User/Human Centric MT (up to 2.5 year contract)
+
  
'''Post-Doctoral Positions'''
+
'''Requirements'''
  
*Research Programmer (up to 2.5 year contract)
+
We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.
  
For more information please see: http://www.cngl.ie/vacancies.html
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged.  All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.
  
  
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
+
==PhD-position in NLP/Text Mining==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: PhD-position in NLP/Text Mining
 +
* Natural Language Processing, Text Mining
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact:  Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)
  
* Employer: Nara Insititute of Science and Technology
+
'''Job Description'''
http://www.naist.jp/en/
+
* Rank or Title: Assistant Professor
+
* Specialty:  Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
+
* Location: Nara, Japan
+
* Deadline: February 28, 2013
+
* Date Posted: January 30, 2013
+
* Start Date: after April, 2013
+
* Duration: 5 years (reappointment is possible)
+
* Contact email: matsu@is.naist.jp
+
  
'''For Detailed Description'''
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).
  
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
+
Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.
  
 +
'''Requirements'''
  
==Researchers - AT&T Labs Research==
+
Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.
  
* Employer: AT&T Labs - Research
+
The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.
* Rank or Title: Researchers and Research Software Engineers
+
* Specialty: Natural Language Processing, Speech Processing, Machine Learning
+
* Location: NJ
+
* Deadline: Applications accepted until position is filled
+
* Date Posted: 8 January 2013
+
* Contact email: vkumar@research.att.com
+
  
'''Position Description'''
+
Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.
  
AT&T Research, one of the premier industrial research laboratories in the world, is looking for
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.
talented individuals to make a difference in the world of communications.  Our researchers and
+
research software engineers are dedicated to solving real problems in speech and language
+
processing, and are involved in inventing, creating and deploying innovative services. We also
+
explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at
+
all levels of experience are encouraged to apply.  Candidates must demonstrate excellence in
+
research, a collaborative spirit and strong communication and software skills.  
+
  
Areas of particular interest are
+
Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de
  
    * Large-vocabulary automatic speech recognition
+
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.
    * Acoustic and language modeling
+
    * Robust speech recognition
+
    * Signal processing
+
    * Text-to-speech synthesis
+
    * Natural language understanding and dialog
+
    * Machine translation (speech and text)
+
    * Speaker biometrics
+
    * Voice and multimodal search
+
    * Software engineering for speech and language processing
+
  
Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).
+
The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.
  
Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates
 
are encouraged to apply.  Interviews will be conducted in early 2013.  For more information,
 
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:
 
  
http://www.research.att.com/evergreen/working_with_us/careers.html
+
==Internship position available in Natural Language Processing at Adobe Research==
 +
* Employer: Adobe Systems Incorporated
 +
* Title: NLP Scientist Intern
 +
* Natural Language Processing, Machine Learning, Dialog Systems.
 +
* Location: San Jose, CA
 +
* Deadline: open until the position is filled
 +
* Date Posted: February 24, 2015
 +
* Trung Bui: bui@adobe.com
  
Candidates must demonstrate a proven research track record and the ability to identify technical
+
'''Description''':
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
+
We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.  
are desired. Access to massive amounts of real-world data, the ability to work with internal and external
+
collaborators across departments, the possibility of making an impact by developing solutions that will be used
+
by millions, and the freedom to publish your results are some of the reasons AT&T Labs -
+
Research is an exciting place to work.  
+
  
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
+
'''Key Qualifications'''
 +
*Experience with semantic parsing, dialog systems.
 +
*Experience with machine learning, deep learning.
 +
*Good programming skills in Java and/or Python
 +
 
 +
'''Education'''
 +
M.S. or PhD student in Computer Science or related field
 +
 
 +
'''Additional Requirements'''
 +
No.
 +
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
 +
 
 +
*Employer:  University of Notre Dame
 +
*Job Number:  4015639
 +
*Date Posted:  02/17/2015
 +
*Application Deadline: Open Until Filled
 +
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
 +
 
 +
'''Job Description'''
 +
 
 +
The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.
 +
 
 +
The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.
 +
 
 +
The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.
 +
 
 +
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.
 +
 
 +
'''Required'''
 +
 
 +
(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas
 +
 
 +
'''Desired'''
 +
 
 +
(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students
 +
 
 +
For more information see the application link above.
 +
 
 +
== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
 +
*Employer: Macquarie Group
 +
*Title: Software Engineer/NLG Specialist
 +
*Specialties: Natural Language Generation, Application Development, Linguistics
 +
*Location: Sydney, Australia
 +
*Date posted: 29 January 2015
 +
*Contact information: andy.logan@macquarie.com
 +
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research
 +
 
 +
'''Job Description'''
 +
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
 +
*New Systems Implementation with Opportunity to push the envelope within Research
 +
*Permanent Opportunity – Sydney CBD Location
 +
 
 +
'''About the role'''
 +
 
 +
We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.
 +
 
 +
'''Key Responsibilities'''
 +
*Design and Develop our first NLG/NLP Application within Equities Research
 +
*Work closely with the vendor to understand the application limitations and functionality
 +
*Drive the development with the Head of Research as well as industry analysts
 +
*Mature the offering and look for further areas of development within the business
 +
 
 +
'''About You'''
 +
 
 +
To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:
 +
 
 +
*Tenacity to produce different If Statements and to develop the platform further
 +
*Strong interest in Artificial Intelligence/Machine Based Learning.
 +
*Keen interest in finance
 +
*Self Starter and strong attention to detail to really drive uptake of the platform
 +
 
 +
This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''
 +
 
 +
If you meet the above requirements, please apply via the following link.  Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''
 +
 
 +
== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
 +
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
 +
*Title: PostDoc
 +
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
 +
*Location: Heidelberg, Germany
 +
*Deadline: 20 February 2015
 +
*Date posted: 29 January 2015
 +
*Contact information: michael.strube (at) h-its.org
 +
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1
 +
 
 +
'''Job Description'''
 +
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
 +
 
 +
One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.
 +
 
 +
The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.
 +
 
 +
HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.
 +
 
 +
The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.
 +
 
 +
To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)
 +
 
 +
Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).
 +
 
 +
 
 +
==Postdoc position in Cardiff (NLP, IR, machine learning)==
 +
*Employer: Cardiff University
 +
*Title: Postdoc
 +
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
 +
*Location: Cardiff, UK
 +
*Deadline: 3 February 2015
 +
*Date posted: 9 January 2015
 +
*Contact information: SchockaertS1@cardiff.ac.uk
 +
 
 +
'''Job Description'''
 +
 
 +
Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.
 +
 
 +
The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.
 +
 
 +
'''Essential criteria'''
 +
 
 +
*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
 +
*Excellent programming skills (java or C/C++).
 +
*A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data  Engineering).
 +
*Proven ability to communicate specialist ideas clearly in English using written media.
 +
*Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
 +
*A PhD in Computer Science or closely related area, or equivalent experience.
 +
 
 +
'''Desirable criteria'''
 +
 
 +
*Knowledge of statistical natural language processing.
 +
*Knowledge of unsupervised and semi-supervised learning.
 +
*Knowledge of relation extraction.
 +
*Experience with analysing large text corpora using a high-performance computing environment.
 +
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.
 +
 
 +
'''More information'''
 +
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.
 +
 
 +
==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
 +
*Employer: Allen Institute for Artificial Intelligence (AI2)
 +
*Title: Post-doc/Research Scientist
 +
*Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
 +
*Location: Seattle, WA
 +
*Deadline: N/A, we are hiring throughout 2015
 +
*Date posted: 12/9/2014
 +
*Contact information: ai2-info@allenai.org, allenai.org
 +
 
 +
'''Job Description'''
 +
 
 +
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni.  The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.
 +
 
 +
'''Position Summary'''
 +
 
 +
AI2 currently has projects in the following areas:
 +
*Language and Vision
 +
*Information extraction and semantic parsing
 +
*Question answering
 +
*Language and reasoning
 +
*Machine learning and theory formation
 +
*Semantic search
 +
*Diagram understanding
 +
 
 +
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission.  These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.
 +
 
 +
'''Applicant'''
 +
 
 +
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation.  We look favorably upon extensive work experience demonstrating application of your research.
 +
 
 +
'''Application Process'''
 +
 
 +
All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.
 +
 
 +
 
 +
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
 +
* Employer: The Ohio State University
 +
* Title: Assistant/Associate/Full Professor
 +
* Specialty: open, two positions in Data Analytics
 +
* Location: Columbus, OH, USA
 +
* Deadline: January 31, 2015 (Consideration starts November 2014)
 +
* Date Posted: November 17, 2014
 +
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi
 +
 
 +
The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.
 +
 
 +
Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.
 +
 
 +
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
 +
 
 +
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
 +
 
 +
To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
 +
 
 +
Review of applications will begin in November 2014 and will continue until the positions are filled.
 +
 
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The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

Latest revision as of 12:18, 24 May 2015

Postdoctoral Fellow and Software Engineer postions in biomedical natural language processing, machine learning and biomedical informatics

  • Employer: UMass Medical School Worcester
  • Title: Post-doctoral fellow or Software Engineer
  • Topics: Biomedical natural language processing, machine learning, bioinformatics, algorithm development, big data analytics
  • Deadline: until filled
  • Date Posted: 24 May 2015
  • apply by contacting elaine.freund@umassmed.edu

Job Description

We are recruiting for multiple positions at levels from Post Doctoral Fellow to Software Engineer to participate research and software development in biomedical natural language processing (NLP) and biomedical informatics. The group’s research (http://www.bio-nlp.org/index.php/projects) involves developing algorithms and tools for gathering, analyzing and interpreting heterogeneous data from multiple sources both clinically and research related. Recruits will lead development efforts in web service tools and search engines that: retrieve and summarize big data in biomedical domain, automatically extracting information from pdf files and extracting text from images, integrate novel biomedical text mining algorithms into the web tools and search engines to enable intelligent semantic search, and mining electronic health record data for pharmacovigilance.

If you are highly motivated and passionate about research in big data processing or software engineering or have in-depth knowledge and hands on implementation experience with web service tools and are interested in learning more about us, please contact elaine.freund@umassmed.edu with your resume or CV and a cover letter.

General Summary of Postdoc Fellow Position: PhD in Computer Science, computational linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.

General Summary of Software Engineer Position: Under the direction of the Faculty or designee, the Software Engineer I assists with the design, development, implementation and integration of web service tools, search engines, utilities, applications and enhancements in a complex medical/academic research computing environment.

Research Scientist in natural language processing, machine learning, knowledge discovery, data analytics at IBM Research-Almaden

  • Employer: IBM Research
  • Title: Research Scientist
  • Topics: Nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics
  • Location: San Jose, California, USA
  • Deadline: 1 June 2015
  • Date Posted: 6 May 2015
  • Online application: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0751127

Job Description

IBM Research - Almaden is looking for researchers to join the Natural Language Processing (NLP), Entity Resolution and Discovery (NERD) Department. Our research focuses include high-value content creation from variety of public and third-party data sources, scalable and usable analytics tools for individual stages in analyzing such data sources, such as text analytics, entity resolution, large-scale machine learning, techniques and methods for scalable and flexible indexing and querying support over enriched content, and consumable interfaces for accessing such data sources, including natural language interfaces. An example project is SystemT (http://ibm.co/1Cdm1Mj).

We are currently looking for a Research Staff Member to conduct research with large scale real-world heterogeneous data in the area of advanced analytics, such as nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics. This role generates highly novel ideas, both theoretical and experimental, in a specific engineering or scientific discipline and invents and designs complex products and processes. This position may be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their design and development. The full cycle of innovation to delivery is typically a multiple-year effort.

The candidate is also responsible for internally and externally disseminating the results of such activities through publications, patent disclosures, seminar participation, technical documentation, etc. The candidate represents IBM at professional conferences, in professional societies and universities and functions as an internal consultant in the areas of professional expertise.

Required

  • Master's Degree
  • At least 1 year experience in developing advances in Computer Science disciplines
  • At least 1 year experience in performing Scientific Research
  • English: Intermediate

Preferred

  • Doctorate Degree in Information Technology
  • At least 3 years experience in developing advances in Computer Science disciplines
  • At least 3 years experience in performing Scientific Research
  • English : Fluent

Additional Information

The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


PhD position in statistical language modelling

  • Employer: Cardiff University
  • Title: PhD scholarship
  • Topics: Statistical language modelling, relation extraction, social media
  • Location: Cardiff, UK
  • Deadline: 1 June 2015
  • Date Posted: 7 April 2015
  • Online application: http://courses.cardiff.ac.uk/funding/R2497.html

Job Description

Applications are invited for a PhD Scholarship at the Cardiff School of Computer Science & Informatics in the area of statistical language modelling. Specifically, the aim of the project will be to develop methods for modelling the meaning of natural language terms, based on data from social media and other web sources. For example, by analysing the tags associated with Flickr photos, the developed methods will be able to learn that a church is a kind of building, that churches tend to be larger than typical buildings and that chapels are similar to churches. The results of this project will be used to improve methods from artificial intelligence for commonsense reasoning, and will among others enable more intelligent web search engines.

Funding and eligibility

This studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£14,057 p.a. for 2015/16, updated each year). This studentship is open to students of any nationality. Students classified as international for fee purposes have to self-fund the difference between home and international fees.

Candidates should:

  • either have (or expect to have by Autumn 2015) a good honours degree in a relevant discipline (minimum 2:1);
  • or have a masters degree with distinction in the research dissertation in a relevant discipline;
  • or have professional qualifications deemed by Cardiff University to be equivalent to the above;
  • or be over 25 and have relevant work experience in a position of responsibility.

The methods will rely heavily on methods from statistics and linear algebra, hence a strong background in mathematics will be required, in addition to excellent programming skills. A strong mathematical background and excellent programming skills will also be required.

Applicants are particularly welcomed from candidates with a background in computer science.

If your first language is not English you must provide evidence of competence in English. Our standard requirement is an overall IELTS result of at least 6.5, with a minimum of 6.5 in writing, and a minimum of 6.0 in speaking, listening and reading.

Further information

For further information and instructions on how to apply, please see http://courses.cardiff.ac.uk/funding/R2497.html

Postdoctoral Researcher in NLP at U.S. Army Research Lab

  • Employer: U.S. Army Research Lab, Adelphi Laboratory Center
  • Title: Postdoctoral Researcher
  • Topics: Natural Language Processing
  • Location: Adelphi, MD, USA
  • Deadline: Open until filled
  • Date Posted: March 17, 2015
  • Contact: Dr. Stephen Tratz (stephen.c.tratz.civ@mail.mil)

Job Description

The Multilingual Computing Branch (MLCB) at the U.S. Army Research Laboratory's Adelphi Laboratory Center, located in the Washington, D.C. metro area, is seeking to hire new post-doctoral fellows. MLCB has several ongoing efforts in computational linguistics/natural language processing, including active projects in machine translation, human-robot communication, and social media analysis. The branch is also pursuing new interdisciplinary initiatives to address the language processing challenges in cyber-security and video analytics.

Candidates should have substantial research experience in machine learning methods (e.g., deep neural networks) as applied to emerging areas involving computational linguistics. Areas of interest include: text/video analytics, computational social science, machine translation, domain adaptation, data selection, low-resource language processing, morphologically complex languages, knowledge representation and reasoning, spoken language interfaces and dialogue, and multimedia processing.

The lab encourages external collaboration and maintains multiple partnerships with universities and research institutions, which enable faculty and student exchanges as well as joint research and publishing (http://www.arl.army.mil/www/default.cfm?page=93). ARL’s new open campus initiative is attracting national and international partners from academia and industry to work with ARL scientists and engineers in areas of common research interest (see http://www.arl.army.mil/www/default.cfm?page=2357), and ARL researchers have begun releasing open source code via GitHub (see http://www.army.mil/article/141734/Army_cyber_defenders_open_source_code_in_new_GitHub_project/). ARL facilities include multiple high-end supercomputing clusters with over 10,000 cores and capable of at least 350 TFlops.

Requirements

  • Ph.D. or equivalent research experience in computer science, statistics, mathematics, or related field

How to Apply

If interested, please email your CV and the names and contact information of three or more references to Dr. Stephen Tratz at the email provided above.

Postdoctoral Researcher in NLG for Narrative

  • Employer: Liquid Narrative Group, North Carolina State University
  • Title: Postdoctoral Research Scholar
  • Topics: Natural Language Generation, Narrative Generation, Knowledge Representation, AI Planning
  • Location: Raleigh NC, USA
  • Deadline: Open Until Filled
  • Date Posted: March 10, 2015
  • Online Application: http://jobs.ncsu.edu/postings/40524

Job Description

The Liquid Narrative group at North Carolina State University is seeking a postdoctoral researcher to collaborate on a large-scale narrative generation project. The goal of this project is to build computational tools for the use of narrative in sense-making tasks. Research thrusts include the creation of formalisms for representing story and discourse knowledge and the development of narrative generation algorithms able to create multiple narrative discourses from a given story, adapt these discourses to an audience, and elicit different effects such as surprise or suspense. This project aims at creating a large-scale narrative-generation system that can extract story data from various sources (e.g., video game logs) and create narratives in and across several media such as text, animated movies or maps.

The postdoctoral researcher will contribute to the design and development of narrative generation and summarization technologies, focusing on the microplanning aspect of text generation. In particular, he or she will extend an existing narrative discourse generation prototype that outputs basic sentences using the SimpleNLG library. Our aim is to update this architecture by integrating an NLG system such as FUF/Surge, KPML or RealPro. To improve the quality of the generated text, the postdoctoral researcher will work on topics such as: aggregation, generation of referring expressions, discourse markers insertion, lexical choice and/or other aspects of realization that are specific to narrative as a genre.

He/she may also participate in research efforts on the automated generation of multimedia presentations involving text, video and maps. He/she is expected to collaborate in performing scientific evaluations of the systems, and in writing academic research papers.

Requirements

The applicant must hold a PhD degree, preferably in the area of computational linguistics or natural language generation. He/she should have:

  • Experience with developing NLG systems
  • Excellent software-design and problem-solving skills
  • Good programming skills
  • Excellent written and oral communication skills

Experience in the following areas would be a plus:

  • Automated discourse planning technologies
  • Dialogue generation

Position details

This is a full-time position. Expected start date is April 1, 2015 and the initial funding for the position runs through December 31, 2015. The position may be extendable depending on availability of funds.

Interested candidates should view the official Human Resources posting and submit applications through the NC State University HR web page at http://jobs.ncsu.edu/postings/40524

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.


PhD-level Researchers in Language Technology or Computational Linguistics

  • Employer: UKP Lab, Technische Universität Darmstadt (Germany)
  • Title: PhD-level Researchers in Language Technology or Computational Linguistics
  • Topics: Natural Language Processing, Summarization, Opinion Mining
  • Location: Darmstadt (Germany)
  • Deadline: open until the position is filled
  • Date Posted: March 4, 2015
  • Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de

Job Description

The newly established Research Training Group „Adaptive Information Processing of Heterogeneous Content“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:

PhD-level Researchers in Language Technology or Computational Linguistics

The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:

  • A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
  • B1: Structured summaries of complex contents (TU Darmstadt)
  • B2: Content selection based on linked lexical resources (TU Darmstadt)
  • D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
  • D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)

The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

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

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

Requirements

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

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.

Applications should include

  • a motivational letter that refers to one of the above listed guiding themes,
  • a CV with information about the applicant’s scientific work,
  • certifications of study and work experience,
  • as well as a thesis or other publications in electronic form.

They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.


Research staff position in Natural Language Processing

  • Employer: UKP Lab, Technische Universität Darmstadt (Germany)
  • Title: Research staff position in Natural Language Processing
  • Topics: Natural Language Processing, Question Answering
  • Location: Darmstadt (Germany)
  • Deadline: open until the position is filled
  • Date Posted: March 4, 2015
  • Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de

Job Description

The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic research project conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.

The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.

Requirements

We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.

Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.


PhD-position in NLP/Text Mining

  • Employer: UKP Lab, Technische Universität Darmstadt (Germany)
  • Title: PhD-position in NLP/Text Mining
  • Natural Language Processing, Text Mining
  • Location: Darmstadt (Germany)
  • Deadline: open until the position is filled
  • Date Posted: March 4, 2015
  • Contact: Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)

Job Description

The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).

Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.

Requirements

Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.

The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.

Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.

Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.

Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.

The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.


Internship position available in Natural Language Processing at Adobe Research

  • Employer: Adobe Systems Incorporated
  • Title: NLP Scientist Intern
  • Natural Language Processing, Machine Learning, Dialog Systems.
  • Location: San Jose, CA
  • Deadline: open until the position is filled
  • Date Posted: February 24, 2015
  • Trung Bui: bui@adobe.com

Description: We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.

Key Qualifications

  • Experience with semantic parsing, dialog systems.
  • Experience with machine learning, deep learning.
  • Good programming skills in Java and/or Python

Education M.S. or PhD student in Computer Science or related field

Additional Requirements No.

Postdoc in Advanced Machine Learning (with an Emphasis on NLP)

Job Description

The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.

The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.

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

Required

(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas

Desired

(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students

For more information see the application link above.

Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation

Job Description

  • Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
  • New Systems Implementation with Opportunity to push the envelope within Research
  • Permanent Opportunity – Sydney CBD Location

About the role

We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.

Key Responsibilities

  • Design and Develop our first NLG/NLP Application within Equities Research
  • Work closely with the vendor to understand the application limitations and functionality
  • Drive the development with the Head of Research as well as industry analysts
  • Mature the offering and look for further areas of development within the business

About You

To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:

  • Tenacity to produce different If Statements and to develop the platform further
  • Strong interest in Artificial Intelligence/Machine Based Learning.
  • Keen interest in finance
  • Self Starter and strong attention to detail to really drive uptake of the platform

This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: macquarie.com/career

If you meet the above requirements, please apply via the following link. Alternatively to find out more about the position and a confidential discussion, please contact Andy Logan on 02 8237 8472 or andy.logan@macquarie.com

PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)

  • Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
  • Title: PostDoc
  • Specialties: Natural Language Processing, Networks, Databases, Machine Learning
  • Location: Heidelberg, Germany
  • Deadline: 20 February 2015
  • Date posted: 29 January 2015
  • Contact information: michael.strube (at) h-its.org
  • Online application: https://application.h-its.org/intern/register.php?id=o51kdq1

Job Description PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany

One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.

The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.

HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.

The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.

To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)

Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).


Postdoc position in Cardiff (NLP, IR, machine learning)

  • Employer: Cardiff University
  • Title: Postdoc
  • Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
  • Location: Cardiff, UK
  • Deadline: 3 February 2015
  • Date posted: 9 January 2015
  • Contact information: SchockaertS1@cardiff.ac.uk

Job Description

Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.

The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.

Essential criteria

  • Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
  • Excellent programming skills (java or C/C++).
  • A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data Engineering).
  • Proven ability to communicate specialist ideas clearly in English using written media.
  • Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
  • A PhD in Computer Science or closely related area, or equivalent experience.

Desirable criteria

  • Knowledge of statistical natural language processing.
  • Knowledge of unsupervised and semi-supervised learning.
  • Knowledge of relation extraction.
  • Experience with analysing large text corpora using a high-performance computing environment.
  • Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.

More information For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.

Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence

  • Employer: Allen Institute for Artificial Intelligence (AI2)
  • Title: Post-doc/Research Scientist
  • Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
  • Location: Seattle, WA
  • Deadline: N/A, we are hiring throughout 2015
  • Date posted: 12/9/2014
  • Contact information: ai2-info@allenai.org, allenai.org

Job Description

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

Position Summary

AI2 currently has projects in the following areas:

  • Language and Vision
  • Information extraction and semantic parsing
  • Question answering
  • Language and reasoning
  • Machine learning and theory formation
  • Semantic search
  • Diagram understanding

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

Applicant

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation. We look favorably upon extensive work experience demonstrating application of your research.

Application Process

All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.


Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering

  • Employer: The Ohio State University
  • Title: Assistant/Associate/Full Professor
  • Specialty: open, two positions in Data Analytics
  • Location: Columbus, OH, USA
  • Deadline: January 31, 2015 (Consideration starts November 2014)
  • Date Posted: November 17, 2014
  • Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi

The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.

Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.

The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.

Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.

To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.

Review of applications will begin in November 2014 and will continue until the positions are filled.

The Ohio State University is an Equal Opportunity/Affirmative Action Employer.