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== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==
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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
 +
* 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)
  
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* '''Employer''': Potsdam
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'''Job Description'''
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* '''Rank or Title''': Full Professor (W3)
 
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* '''Specialty''': Theoretical Computational Linguistics
 
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* '''Location''': Potsdam, Germany
 
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* '''Deadline''': Feb 20, 2010
 
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* '''Date Posted''': Jan 21, 2010
 
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* '''Contact''':  [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de
 
  
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Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam
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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.
  
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The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:
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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.
  
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* Grammar formalisms and (probabilistic) parsing of natural language
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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.
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* machine learning techniques for language processing
 
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* computational semantics
 
  
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Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science.  Experience in obtaining third-party funding and an international presence is desirable.
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'''Requirements'''
  
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The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.
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* Ph.D. or equivalent research experience in computer science, statistics, mathematics, or related field
  
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Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).
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'''How to Apply'''
  
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Applications should be received by February 20 2010, and should be sent to:
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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.
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The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany
 
  
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== Research Scientist, Natural Language Processing, Educational Testing Service, Princeton, NJ, USA ==
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==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
  
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* '''Employer:''' Educational Testing Service, Princeton, NJ, USA
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'''Job Description'''
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* '''Title:''' Research Scientist, Natural Language Processing
 
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* '''Specialty:''' Software development, NLP, Machine Learning, Educational Applications
 
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* '''Deadline:''' Open until filled
 
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* '''Date Posted:''' December 15, 2009
 
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* '''Links to website:''' [http://www.ets.org]
 
  
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Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education and government, we are determined to advance educational excellence for the communities we serve.
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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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ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS’s automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater®), scoring short answers for correctness of content (c-rater™), mathematical equations and plots (m-rater™), and scoring the spontaneous speech of English Language Learners (SpeechRater™).  
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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.
  
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Responsibilities of the position include, but are not limited to:
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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.
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*Providing scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.
 
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*Developing and/or modifying NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems that are used to improve assessments, learning tools and test development practices.
 
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*Applying scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.
 
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*Developing and overseeing the conduct of selected portions of research proposals and project budgets.
 
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*Designing and conducting complex scientific studies functioning as an expert in major facets of the projects.
 
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*Assisting in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
 
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*Participating in dissemination activities through the publication of research papers, progress and technical reports; the presentation of seminars; or other appropriate communication vehicles.
 
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*Developing professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
 
  
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Requirements:
+
'''Requirements'''
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*Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.
 
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*Familiarity with the application of NLP tools to educational problems; a very strong statistical background and solid experience with machine learning algorithms and tools would be an asset.
 
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*Demonstrable contributions to new and/or modified theories of natural language processing and their implementation in automated systems required.
 
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*Practical expertise with NLP tools and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python) are also required.
 
  
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ETS offers competitive salaries, outstanding benefits, a stimulating work environment and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
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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
  
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How to Apply:
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Experience in the following areas would be a plus:
 +
* Automated discourse planning technologies
 +
* Dialogue generation
  
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Please visit our Careers page at www.ETS.org and apply directly for position #79756.  Please include a cover letter stating job title and salary requirements.
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'''Position details'''
  
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== Senior Software Systems Engineer (NLP), Educational Testing Service, Princeton, NJ, USA ==
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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, 2015.  The position may be extendable depending on availability of funds.
  
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* '''Employer:''' Educational Testing Service, Princeton, NJ, USA
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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
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* '''Title:''' Senior Software Systems Engineer
 
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* '''Specialty:''' Software development, NLP, Machine Learning, Educational Applications
 
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* '''Deadline:''' Open until filled
 
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* '''Date Posted:''' December 2, 2009
 
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* '''Contact:''' Derrick Higgins dhiggins AT ets DOT org
 
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* '''Links to website:''' [http://www.ets.org]
 
  
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The Educational Testing Service has a group of about 12 researchers dedicated to natural language processing and speech analysis. Much of this work focuses on methods for automatically scoring responses (such as essays or monologues) to open-ended test items, or to providing instructional feedback to test takers based on their responses.  A selected bibliography of the group’s work can be found at http://ets.org/research/erater.html.
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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.
  
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We are currently looking to hire a software engineer with a strong NLP background.  The official job posting, together with application instructions, is at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=79723&type=main&cfcend
 
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(You can also go to http://ets.pereless.com/careers/index.cfm, and search for Job ID 79723.)
 
  
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Qualified candidates should
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==PhD-level Researchers in Language Technology or Computational Linguistics==
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* be highly skilled in Java, Perl, and Python programming
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* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
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* be familiar with UNIX tools and scripting languages
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* Title: PhD-level Researchers in Language Technology or Computational Linguistics
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* have a demonstrated commitment to software development best practices, including documentation, reusable code design, and integrated software testing
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* Topics: Natural Language Processing, Summarization, Opinion Mining
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* have a strong grasp of computational algorithms and elementary statistics
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* 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
  
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Ideal candidates should also have experience with natural language processing and speech processing applications.  Desired qualifications include:
+
'''Job Description'''
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* An understanding of different statistical classification techniques, and the strengths and weaknesses of each
 
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* A grasp of the levels of linguistic analysis (syntax, semantics, morphology, phonology) and typical computational approaches applied at each level in corpus-based research
 
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* Experience with machine learning toolkits such as Weka, Mallet, libsvm, SVMLite, and See5
 
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* Experience with machine learning and natural language processing resources such as WordNet, parsers, taggers, and information retrieval systems
 
  
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Above all, candidates should be flexible, self-motivated, and team-oriented.
+
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:
  
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M. Sc. In computer science, computational linguistics, or a related field is highly desirable.
+
PhD-level Researchers in Language Technology or Computational Linguistics
  
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== Research Associates in Text Mining (2 posts), National Centre for Text Mining, University of Manchester, UK ==
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The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
  
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* '''Employer:''' National Centre for Text Mining (NaCTeM), University of Manchester, UK
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* A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
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* '''Title:''' Research associates in Text Mining (2 posts)
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* B1: Structured summaries of complex contents (TU Darmstadt)
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* '''Specialty:''' Text Mining, Machine Learning
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* B2: Content selection based on linked lexical resources (TU Darmstadt)
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* '''Deadline:''' 14th December, 2009
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* D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
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* '''Date Posted:''' 1st December, 2009
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* D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)
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* '''Contact:''' Prof. Sophia Ananiadou sophia.ananiadou AT manchester.ac.uk
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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.  
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* '''Links to website:''' [http://www.nactem.ac.uk NaCTeM]
 
  
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We are seeking to hire two research Associates in Text Mining to join the National Centre for Text Mining at the School of Computer Science, University of Manchester.
+
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.  
  
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You will join a strong and dynamic team of 19 text miners and software engineers and will customise existing text mining tools and services of the National Centre for Text Mining (NaCTeM) for improved searching using terminology extraction, named entity recognition and fact extraction from full texts. Other services to be developed include semantic search, summarisation and question-answering facilities for institutional repositories.
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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.  
  
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You should have a PhD in Computer Science, ideally in Text Mining, or have research experience in text mining at an equivalent level. You should also have experience of active learning machine learning techniques; and have an excellent research profile (publication record).
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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.
  
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The posts are available immediately until December 2011.
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'''Requirements'''
  
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Salary £28,839 - £35,469 p.a.
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We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.  
  
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To apply, please visit http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=167398
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The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. 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
  
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== Computational Linguistics Engineer, Disney Interactive Media Group (North Hollywood, CA) ==
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* 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.
  
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* '''Employer:''' Disney Interactive Media Group
 
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* '''Title:''' Computational Linguistics Engineer
 
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* '''Specialty:''' see job description
 
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* '''Deadline:''' Open until filled
 
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* '''Date Posted:''' Nov 05, 2009
 
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* '''Contact:''' Graciel Cecilio graciel.cecilio@disney.com
 
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* '''Links to website:''' http://www.dimgcareers.com or http://www.disney.com
 
  
 +
==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
  
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As a Sr. Staff Engineer you will be extensively involved in the design and implementation of Disney online communities. Reporting to the Chief Architect of Disney online studios, you will be responsible for the selection, design, architecture, implementation, features, and enhancements to Disney online community language systems. You will also be responsible for giving technical guidance and support to our major online ventures in the area of language base communications and safe uses thereof. This position is key in our efforts to allow for meaningful but safe online environments for a younger audience.
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'''Job Description'''
  
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'''JOB RESPONSIBILITIES'''
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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.  
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#Lead and champion the usage of natural language technologies to help Disney provide a safe and meaningful online experience.  
 
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#Procure, design, develop, and document community - communication software components.  
 
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#Provide training, guidance, mentoring and leadership to personnel.  
 
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#Research third-party technologies.  
 
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#Interface with external vendors to coordinate integration of technologies.  
 
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#Interface with product teams to define requirements and schedules for technologies.  
 
  
 +
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.
  
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'''QUALIFICATIONS FOR POSITION'''  
+
'''Requirements'''
−
#Degree in Linguistics or related field or 10+ year minimum experience.
 
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#Degree in Software Development or 10+ years minimum experience
 
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#A commitment to excellence and ability to help lead Disney in this effort.
 
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#Have a track record of leveraging natural language methodologies in a real-world, high performance, high scalability on-line environment
 
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#Strong communication skills.
 
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#Ability to work closely with profit driven initiatives and incorporate Language based system into these ventures.
 
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#Proactively researching and evaluating new technologies with the ability to select best methods and techniques.
 
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#Presenting technical issues, solutions and status to senior and executive management
 
  
 +
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.
  
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'''SPECIFIC SKILLS 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.
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#Computation complexity of natural Language.  
 
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#Language corpus analysis and usage.  
 
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#A love of Fun, Games and Children.  
 
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#A strong appreciation of the Disney brand.  
 
  
  
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'''Please send your CV/resume to Graciel Cecilio graciel.cecilio at disney dot com
+
==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)
  
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More about DIMG'''
+
'''Job Description'''
  
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Disney Interactive Media Group (DIMG) is the division of The Walt Disney Company responsible for the creation and delivery of Disney branded interactive entertainment and informational content across multiple platforms including online, mobile and video game consoles around the globe.  
+
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).
  
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DIMG oversees several lines of business. Disney Interactive Studios, which has five internal game development studios around the world, self publishes and distributes a broad portfolio of multi-platform video games, mobile games and interactive entertainment worldwide. Disney Online produces Disney.com, the No. 1 kids entertainment and family community Web site, for multiple platforms including PCs and mobile phones, as well as the Disney Family Network of Web sites for moms. Additionally, Disney Online develops and publishes an industry leading suite of online virtual worlds for kids and families. Disney Interactive Studios and Disney Online work together to leverage the platform-specific expertise of the collective group to create a line of interconnected, multiplatform interactive entertainment experiences. Disney Mobile Japan includes the Disney Mobile phone service as well as the region’s highly successful mobile content business. DIMG also develops new online technologies and distribution platforms and operates the online technical backbone and infrastructure that power the Web presence of The Walt Disney Company including category leaders ESPN.com, ABC.com, and ABCNEWS.com. DIMG is headquartered in North Hollywood, Calif., with content available directly or through third parties in many major markets worldwide, including the Americas, Europe, and Asia Pacific.
+
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.
  
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== Trainee position for a computational linguist specialising in multilingual technology, The Language Technology Centre (London, UK) ==
+
'''Requirements'''
  
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* '''Employer:''' The Language Technology Centre (LTC)
+
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.
−
* '''Title:''' Computational Linguist
 
−
* '''Specialty:''' see job description
 
−
* '''Deadline:''' Open until filled
 
−
* '''Date Posted:''' Oct 28, 2009
 
−
* '''Contact:''' Nadia Portera-Zanotti <nadia.portera-zanotti AT langtech.co.uk>
 
  
−
* '''Links to website:''' http://www.langtech.co.uk
+
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.
  
−
[http://www.langtech.co.uk LTC] and [http://www.agile-web.com Agile Web Solutions]  are building a web platform with a multilingual technology backend and semantic features in the medical domain. We are looking for a trainee for at least six, ideally 12 months with the possibility of an employment contract afterwards, starting from February 2010 or earlier.  
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.
  
−
The candidate should be able to do the following:
+
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
  
−
# Speak at least 2 of the three languages English, German or Spanish fluently
+
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.  
−
# Align bilingual corpora (training can be provided) and populate a statistics based machine translation  system and a translation memory system with them
 
−
# Encode terminology in a user dictionary of a rule based machine translation system. This requires knowledge about morphological, syntactic and semantic properties of lexical items and multiword terms and some encoding experience in this respect
 
−
# Test MT output and fine tune system
 
−
# Evaluate machine translation quality using the BLEU score, user response etc.
 
−
# Have basic programming skills in .NET, Java, PHP or similar
 
−
# Work well within a team and liaise with external language technology developers.
 
  
 +
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.
  
−
Please send your CV and other relevant information per e-mail to Nadia Portera-Zanotti <nadia.portera-zanotti AT langtech.co.uk>
 
  
−
More information is available on our websites: http://www.langtech.co.uk and http://www.agile-web.com  
+
==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
  
−
We look forward to receiving your application.
+
'''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
  
−
== Science Annotator, J.D. Power and Associates, Boulder, CO ==
+
'''Additional Requirements'''
 +
No.
 +
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
  
−
{|
+
*Employer: University of Notre Dame
−
| '''&#8226; Employer:'''        ||Web Intelligence Division, J.D. Power and Associates (McGraw-Hill)
+
*Job Number: 4015639
−
|-
+
*Date Posted: 02/17/2015
−
| '''&#8226; Title, Rank:'''      ||Science Annotator.
+
*Application Deadline: Open Until Filled
−
|-
+
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
−
| '''&#8226; Specialty:'''        ||Linguistics, Computational Linguistics.
 
−
|-
 
−
| '''&#8226; Location:'''        ||Boulder, Colorado.
 
−
|-
 
−
| '''&#8226; Start date:'''      ||The position is available immediately.
 
−
|-
 
−
| '''&#8226; Date Posted:'''      ||September 15th, 2009.
 
−
|-
 
−
| '''&#8226; Links to website:''' ||http://jdpowerwebintelligence.com
 
−
|-
 
−
| '''&#8226; Contact:'''          ||Miriam Eckert <miriam_eckertNOSPAM@jdpa.com>; Nicolas Nicolov <nicolas_nicolovNOSPAM@jdpa.com> [remove six chars]
 
−
|}
 
  
 +
'''Job Description'''
  
−
J.D. Power and Associates, Web Intelligence division is growing and hiring top-notch science annotators as members of the science team to address creation of datasets for training and testing advanced machine learning algorithms for web mining. We work on cutting-edge text analysis of vast amounts of data, scalable information retrieval, learning semantic concepts and inducing ontologies, sentiment and demographic analysis, and lots of cool new stuff.
+
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.
  
−
'''Requirements:'''
+
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.
  
−
:&#8226; Recent M.A. in Linguistics: knowledge of English grammar (dependency structures), semantics, coreference and anaphora resolution (computational liguistics experience is a plus);
+
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.
−
:&#8226; Native English speaker;
 
−
:&#8226; Experience with UNIX shell scripting, programming experience with scripting languages like Scala, Ruby or Python for formatting datasets, knowledge of XML is a plus;
 
−
:&#8226; Experience with WordNet and ontologies is a plus;
 
−
:&#8226; Prior annotation experience is a plus;
 
−
:&#8226; Excellent reading comprehension and writing skills;
 
−
:&#8226; Strong experience with Microsoft Office applications: MS Excel, PowerPoint, MS-Word;
 
−
:&#8226; Experience with using search engines (Bing, Google, Yahoo! Search);
 
−
:&#8226; Effective communication skills, analitical thinking, and ablity to work independently and in a team environment;
 
−
:&#8226; Fluency in a foreign language is a plus;
 
−
:&#8226; Enthusiam for solving challenging problems.
 
−
:&#8226; Must be located in or willing to relocate to Boulder, Colorado.
 
−
:&#8226; Must be legally authorized to work in the United States.
 
  
 +
'''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
  
−
== Associate Professorship in Natural Language Processing, University of Oslo ==
+
'''Desired'''
  
−
* '''Employer:''' [http://www.ifi.uio.no Department of Informatics], [http://www.uio.no University of Oslo]
+
(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
−
* '''Title:''' Associate Professor (tenured)
 
−
* '''Specialization:''' data-driven and hybrid approaches to NLP
 
−
* '''Deadline:''' Friday, October 9, 2009
 
−
* '''Announcement:''' [http://www.emmtee.net/ap.09.09.html job posting]
 
  
−
== Text Mining Positions, JULIE Lab (Germany) ==
+
For more information see the application link above.
  
−
* '''Employer:''' JULIE Lab, Friedrich-Schiller-Universität Jena, Germany
+
== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
−
* '''Title:''' Post doc or Ph.D.
+
*Employer: Macquarie Group
−
* '''Specialty:''' NLP
+
*Title: Software Engineer/NLG Specialist
−
* '''Deadline:''' Open until filled
+
*Specialties: Natural Language Generation, Application Development, Linguistics
−
* '''Date Posted:''' Aug 26, 2009
+
*Location: Sydney, Australia
−
* '''Contact:''' Katrin Tomanek <katrin.tomanek@uni-jena.de>
+
*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
  
−
* '''Links to website:''' [http://www.julielab.de JULIE Lab Web Site]
+
'''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
  
−
The Jena University Language & Information Engineering (JULIE) Lab has two vacant text mining positions available, a Post Doc and a Ph.D. position, to boost its research efforts in advanced text analytics, i.e., named entity and relation extraction, knowledge discovery from texts. Annual salary ranges from 40,000 – 45,000 € (approximately 60,000 $) for the post doc position and 35,000 – 40,000 € (approximately 55,000 $) for the Ph.D. position, both dependent on previous work experience. JULIE Lab has a strong reputation in biomedical information extraction and text mining and is an international leader in research in the field of text analytics (please, visit http://www.julielab.de).
+
'''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.
  
−
Requirements for Candidates:
+
'''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
  
−
*  outstanding degree in computational linguistics/language technology or related fields in computer science (information retrieval, data mining, artificial intelligence, machine learning, information systems, human-computer interaction, Semantic Web, etc.) from a major school/department/university
+
'''About You'''
−
* necessary: good proficiency in statistics and machine learning methodologies
 
−
* desired: solid information extraction/text mining skills
 
−
* excellent programming skills (Java), awareness of software engineering discipline in coding (UIMA, coding conventions, SE tools, etc.)
 
−
* background knowledge in the life sciences (can also be acquired or deepened while staying in the lab)
 
−
* strong dedication to scientific excellence
 
  
 +
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:
  
−
Informal inquiries can be addressed to:
+
*Tenacity to produce different If Statements and to develop the platform further
−
Katrin Tomanek, Friedrich-Schiller-Universität Jena, Email: katrin.tomanek@uni-jena.de
+
*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
  
−
Applications (e-mail preferred) should be sent to:
+
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'''
−
Prof. Dr. Udo Hahn, Friedrich-Schiller-Universität Jena, 07743 Jena, Fürstengraben 30, Germany, Email: udo.hahn@uni-jena.de
 
  
−
== Programmer Analyst, Linguistic Data Consortium, University of Pennsylvania (Philadelphia, PA, USA) ==
+
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'''
  
−
* '''Employer:''' Linguistic Data Consortium, University of Pennsylvania
+
== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
−
* '''Title:''' Programmer Analyst (Ref #: 090727106)
+
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
−
* '''Specialty:''' Language Resource Creation, Natural Language Processing
+
*Title: PostDoc
−
* '''Deadline:''' Open untill filled
+
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
−
* '''Date Posted:''' Aug 12, 2009
+
*Location: Heidelberg, Germany
−
* '''Contact:''' Kazuaki Maeda <maeda@ldc.upenn.edu>
+
*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
  
−
* '''Links to website:''' [https://jobs.hr.upenn.edu/applicants/Central?quickFind=190206 Online Application] [http://www.ldc.upenn.edu/ LDC Web Site]
+
'''Job Description'''
 +
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
  
−
Linguistic Data Consortium at the University of Pennsylvania has an immediate opening for a full-time programmer analyst to support our
+
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.
−
rapidly growing linguistic resource creation projects, including the DARPA Machine Reading program.
 
  
−
Duties: This position will support multiple, concurrent language resource creation projects by providing programming, technical and research support in a lead capacity. Working with internal and external stakeholders, the position will develop achievable technical roadmaps for each project and will oversee their execution.
+
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.
  
−
Tasking may include:
+
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.
  
−
# design and develop flexible user interfaces for manual annotation of linguistic data
+
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.  
−
# prepare linguistic resources for annotation, including indexing and format normalization
 
−
# negotiate project technical specifications with key internal and external stakeholders
 
−
# develop data formats to support collection and annotation tasks
 
−
# research, evaluate and integrate third-party software into LDC's data production pipeline
 
−
# perform statistical analysis of linguistic data
 
−
# train and supervise full-time or part-time technical staff
 
−
# assist with corpus publication including data validation and sanity checks
 
−
# provide technical support to linguistic annotators and other project staff
 
−
# represent technical aspects of LDC's linguistic resource creation efforts at workshops and in publications, as required.
 
  
−
This position is contingent upon funding.  For further information or to apply online, please go to [https://jobs.hr.upenn.edu/applicants/Central?quickFind=190206 Online Application].  The University of Pennsylvania is an affirmative action/equal opportunity employer.
+
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).
  
  
−
== Research Programmer, University of Illinois, Urbana, Illinois  ==
+
==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
  
−
* '''Employer:''' University of Illinois, Urbana, Illinois
+
'''Job Description'''
−
* '''Title:''' Research Programmer
 
−
* '''Specialty:''' Natural Language Processing, Machine Learning, Web Programming
 
−
* '''Deadline:''' July 10, 2009-
 
−
* '''Date Posted:''' June 21, 2009
 
−
* '''Contact:''' Jennifer Dittmar at 217-244-6241
 
−
* '''Links to website:''' [http://www.cs.uiuc.edu/join/aponlap.html]
 
  
−
    Visiting Research Programmer
+
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.
−
    Department of Computer Science
 
−
    University of Illinois Urbana-Champaign
 
−
    Extended and Revised Search
 
  
−
The Department of Computer Science is seeking a Visiting Research Programmer to take part in the development of Natural Language Processing and Machine Learning technologies embedded in a Web-based application.
+
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.
  
−
This position requires knowledge in one or more of the following: information retrieval techniques and tools, natural language processing, language models, machine learning techniques, and web programming (e.g., browsers plug-ins). Algorithmic maturity and experience dealing with large amounts of data are essential. Outstanding attention to detail is required, along with strong written and verbal communication skills and the ability to quickly learn new technologies. The Visiting Research Programmer will join the Cognitive Computation Group led by Prof. Dan Roth, to work on a standalone project with possibilities for commercialization.
+
'''Essential criteria'''
  
−
Job Duties include:
+
*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.
  
−
    * Designing and implementing algorithms, software systems and user interfaces
+
'''Desirable criteria'''
−
    * Writing design documents and code documentation
 
−
    * Interacting with other group members and presenting technical information
 
  
−
A minimum of a Bachelor's degree in Computer Science or a related field is required. Individuals with a more advanced degree are encouraged to apply and salary will be commensurate with level of education and experience. This position will be available as soon as possible after the closing date, and is a 12-month, temporary, full-time academic professional appointment with standard University benefits with the possibility of becoming permanent at a future date. Salary is commensurate with education and experience. For full consideration, applications should be received by 7/10/09. Applicants may be interviewed before the closing date; however, no hiring decision will be made until after that date.
+
*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.
  
−
To apply, please submit your application online at: http://www.cs.uiuc.edu/join/aponlap.html.
+
'''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.
  
−
If you do not have Internet access, please call Jennifer Dittmar at 217-244-6241 to make other arrangements for submitting your application. Refer to search #12309 in all communications.
+
==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
  
−
Minorities, women, and other designated class members are encouraged to apply.
+
'''Job Description'''
  
−
The University of Illinois is an Affirmative Action-Equal Opportunity Employer.
+
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'''
  
−
== Postdoc or doctoral research assistant, Bremen University, Bremen, Germany  ==
+
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
  
−
* '''Employer:''' Bremen University, Bremen, Germany
+
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.
−
* '''Title:''' Research assistant (Postdoc or doctoal level)
 
−
* '''Specialty:''' Dialogue Systems and Human-Robot Interaction
 
−
* '''Deadline:''' June 15, 2009
 
−
* '''Date Posted:''' May 17, 2009
 
−
* '''Contact:''' John Bateman <bateman@uni-NOSPAM-bremen.de> [remove 6 chars]
 
−
* '''Links to website:''' [http://www.diaspace.uni-bremen.de | Research Position]
 
  
−
The I5-DiaSpace project of the Collaborative Research Center on
+
'''Applicant'''
−
Spatial Cognition in Bremen, N. Germany, is looking for a
 
−
computational linguistic or informatics PhD or Postdoc researcher
 
−
ready and willing to take on the further development of our
 
−
information-state based dialogue system. The system backbone is
 
−
implemented in Java with plug-ins to state of the art natural language
 
−
analysis, generation, dialogue management, and knowledge
 
−
representation components. The system offers an outstanding foundation
 
−
for carrying out further research at both doctoral and postdoc
 
−
levels. The successful applicant will be expected to take over
 
−
responsibility for system design and implementation, and so excellent
 
−
programming skills will be crucial. The selection of research topic
 
−
within the general area of dialogue systems is open to negotiation,
 
−
although spatially-situated dialogue with autonomous systems including
 
−
robots is one of the demonstration areas that we cover. The position
 
−
is to be filled as quickly as possible.
 
  
−
The Natural Language Interaction Group at Bremen is a highly
+
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.
−
multidisciplinary team combining discourse analysts, psycholinguists,
 
−
computational linguists and ontological engineers. We work in close
 
−
cooperation with several projects within the Collaborative Research
 
−
Center, which spans cognitive science, neurocognition, perception,
 
−
formal spatial calculi, architecture, and AI. The environment is
 
−
highly international and at the cutting edge of several related
 
−
disciplines.  
 
  
−
'''Requirements:'''
+
'''Application Process'''
  
−
:&#8226; completed first degree in computational linguistics, artificial intelligence, linguistics, informatics or similar
+
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.
−
:&#8226;  interest in dialogue
 
−
:&#8226;  very good programming skills (necessarily Java; Lisp, Perl, etc. advantageous)
 
−
:&#8226;  good English writing skills
 
−
:&#8226;  ability to work both independently and in a team  in a  multidisciplinary environment 
 
  
−
'''Approximate salary:'''
+
==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)==
 +
* Employer: Apple Inc.
 +
* Title: Language Understanding / Dialog Scientist
 +
* Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
 +
* Location: Cupertino, CA
 +
* Deadline: rolling
 +
* Date Posted: December 2, 2014
 +
* Thomas Kollar: tkollar@apple.com
  
−
Payment is according to the German Federal pay scale (TV-L 13,
+
'''Description''':
−
approx. 34,000 Euros annually). The position is full-time.
+
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence.  And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.
  
−
Interested applicants should send their CV and any supporting
+
'''Key Qualifications'''
−
information or further queries to John Bateman at the above contact
+
*Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
−
address.  
+
*Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
 +
*Exceptional analytical, troubleshooting and problem solving skills
 +
*Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
 +
*Strong software engineering skills
 +
*Experience working with multilingual datasets
 +
*Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus
  
 +
'''Description'''
 +
You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.
  
 +
'''Education'''
 +
M.S. or PhD in Computer Science or related field
  
−
== Scientist I, J.D. Power and Associates, Boulder, CO ==
+
'''Additional Requirements'''
 +
2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.
  
−
{|
+
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
−
| '''&#8226; Employer:'''        ||Web Intelligence Division, J.D. Power and Associates (McGraw-Hill)
+
* Employer: The Ohio State University
−
|-
+
* Title: Assistant/Associate/Full Professor
−
| '''&#8226; Title, Rank:'''      ||Scientist I.
+
* Specialty: open, two positions in Data Analytics
−
|-
+
* Location: Columbus, OH, USA
−
| '''&#8226; Specialty:'''        ||Machine Learning, Computational Linguistics, Natural Language Processing.
+
* Deadline: January 31, 2015 (Consideration starts November 2014)
−
|-
+
* Date Posted: November 17, 2014
−
| '''&#8226; Location:'''        ||Boulder, Colorado.
+
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi
−
|-
 
−
| '''&#8226; Start date:'''      ||The position is available immediately.
 
−
|-
 
−
| '''&#8226; Date Posted:'''      ||May 1st, 2009.
 
−
|-
 
−
| '''&#8226; Links to website:''' ||http://jdpowerwebintelligence.com
 
−
|-
 
−
| '''&#8226; Contact:'''          ||Nicolas Nicolov <nicolas_nicolovNOSPAM@jdpa.com> [remove six chars]
 
−
|}
 
  
 +
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.
  
−
J.D.Power and Associates is growing and hiring top-notch scientists to develop cutting-edge web mining technology. Our science team is working on advanced text analysis of vast amounts of data, scalable information retrieval, learning semantic concepts and lots of cool new stuff.
+
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.
  
−
'''Requirements:'''
+
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
  
−
:&#8226; Recent Ph.D. in Machine Learning, Computational Linguistics, Artificial Intelligence, Computer Science or equivalent.
+
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.
−
:&#8226; Strong statistical, natural language processing, machine learning background with emphasis on coreference, meronymy, dependency parsing, sentiment/opinion analysis, text clustering and categorization, graph analysis.
 
−
:&#8226; Experience with scientific computing on large datasets, natural language processing, information extraction, information retrieval, multilingual datasets, distributed systems is a plus.
 
−
:&#8226; Strong experience with C++/Java, Scala/Ruby/Python development of large software systems, Linux/Windows environments.
 
−
:&#8226; Proven track record of publications/patents preferred.
 
−
:&#8226; Multilingual processing is a plus.
 
−
:&#8226; Strong verbal and written communication skills; UML, LaTEX, beamer.
 
−
:&#8226; At least 4 years of research experience (relevant university experience - ok).
 
−
:&#8226; Enthusiasm for solving challenging problems.
 
  
 +
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.
  
−
== Research Position in Computational Linguistics at Austrian Research Institute for AI (OFAI), Vienna ==
+
Review of applications will begin in November 2014 and will continue until the positions are filled.
  
−
* '''Employer:''' OFAI, Vienna, Austria
+
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
−
* '''Title:''' Researcher
 
−
* '''Specialty:''' Computational Linguistics
 
−
* '''Deadline:''' April 15, 2009
 
−
* '''Date Posted:''' March 30, 2009
 
−
* '''Links to website:''' [http://www.ofai.at/research/nlu/]
 
−
 
 
−
The Austrian Research Institute for Artificial Intelligence (OFAI)
 
−
in Vienna, Austria offers two research positions in its Language
 
−
Technology group.
 
−
 
 
−
Candidates are expected to have a degree in computational linguistics
 
−
or computer science with a background in language technology.
 
−
She/he will be an open minded team worker, who is able
 
−
to work creatively in an interdisciplinary context. She/he will have
 
−
good programming skills and be able to flexibly use different
 
−
programming languages. She/he likes to to work in a research environment
 
−
constantly learning and developing fresh concepts and ideas.
 
−
Publishing research results is part of the job and actively encouraged.
 
−
The successful candidates will have a strong background in one or more of
 
−
the following areas: ontology engineering, semantic systems, text mining
 
−
and machine learning.
 
−
 
 
−
Fluency in English is expected.
 
−
 
 
−
Both positions are in the framework of a project aiming at advancing
 
−
speech recognition by the integration of (context-dependent) semantic
 
−
knowledge. The project is ongoing and will continue until April 2010.
 
−
 
 
−
Contracts will be for the duration of the project.
 
−
Continued employment after the end of the project is possible.
 
−
 
 
−
Depending on academic credentials and experience of the candidate,
 
−
the yearly gross salary will be in the range of EUR 42000 - 54000.
 
−
 
 
−
Both positions are to be filled asap.
 
−
 
 
−
Please mail applications including a CV to Harald Trost <harald.trost@ofai.at>
 
−
 
 
−
 
 
−
==Postdoctoral Fellowship at the Institut de Recherche en Informatique de Toulouse (IRIT) Université de Toulouse 3==
 
−
 
 
−
Subject : Applying learning techniques to discourse analysis
 
−
 
 
−
Période : 12 months, September 2009 -> August 2010
 
−
 
 
−
Context :
 
−
This postdoctoral fellowship, is part of the ANR project
 
−
ANNODIS, which includes the labs: IRIT (Université de Toulouse 3), CLLE (Université
 
−
de Toulouse 2), and GREYC Université de Caen).  The goal of this project is to
 
−
build a corpus of French texts annotated with discourse structure at several levels.  The project also has the goal of providing automatic and semi-automatic tools for helping with this task.
 
−
 
 
−
The postdoctoral fellow will be a member of the IRIT lab at l'université de Toulouse 3, Toulouse, in the research group Lilac under the direction of
 
−
Nicholas Asher.
 
−
 
 
−
Objectives :
 
−
Based on the data culled from the manual annotation of our corpus, the first objective of the postdoctoral fellow will be to design and supervise experiments for the automatic recovery of the discourse structure of a text and to evaluate the feasibility of semi supervised and supervised learning strategies given the data in the corpus.  A discourse structure is a graph where the nodes are text segments and the arcs are discourse relations.  Thus, the extraction task  has three stages: 1) finding the segments, 2) determining the attachment points for segments in the graph et 3) determining the discourse relation or relations between the attached segments.
 
−
 
 
−
The postdoctoral fellow will also be in charge of the final collection and organization of the manual annotation data.
 
−
 
 
−
Candidate should have:
 
−
- a Ph.D.
 
−
- competence in NLP and/or information extraction, and automated learning methods.
 
−
 
 
−
A familiarity with theories of discourse structure would be a Plus.
 
−
 
 
−
 
 
−
Salary: 3000 euro per month
 
−
 
 
−
Candidates should send a dossier with a detailed CV (pdf) by email to:
 
−
asher@irit.fr AND muller@irit.fr.
 
−
 
 
−
 
 
−
== Post-Doctoral Position in Computational Linguistics at Uppsala University ==
 
−
 
 
−
* '''Employer:''' Uppsala University, Sweden
 
−
* '''Title:''' Research Fellow
 
−
* '''Specialty:''' Computational Linguistics
 
−
* '''Deadline:''' April 24, 2009
 
−
* '''Date Posted:''' March 17, 2009
 
−
* '''Links to website:''' [http://stp.lingfil.uu.se/~nivre/docs/PostdocUU.pdf | Post-Doc Position]
 
−
 
 
−
This is a full-time, limited-term position that can maximally be extended up to four
 
−
years. The position involves a small amount of teaching and supervision but is mainly
 
−
devoted to research. The deadline for applications is April 14, 2009. For more
 
−
information, contact Joakim Nivre <joakim.nivre@lingfil.uu.se>.
 
−
 
 
−
 
 
−
== Research Positions, Human Language Technology Center of Excellence ==
 
−
 
 
−
* '''Employer:''' Human Language Technology Center of Excellence (at Johns Hopkins University)
 
−
* '''Titles:''' Postdoctoral researchers, research staff, professors on sabbaticals, visiting scientists
 
−
* '''Specialty:''' Speech and Natural Language Processing
 
−
* '''Deadline:''' April 1, 2009
 
−
* '''Date Posted:''' March 12, 2009
 
−
* '''Links to website:''' [http://web.jhu.edu/HLTCOE/opportunities.html | Research Position]
 
−
 
 
−
The Human Language Technology Center of Excellence (COE) at the Johns Hopkins University is seeking to hire outstanding Ph.D. researchers in the field of speech and natural language processing. The COE seeks the most talented candidates for both junior and senior level positions including, but not limited to, full-time research staff, professors on sabbaticals, visiting scientists and post-docs. Candidates will be expected to work in a team setting with other researchers and graduate students at the Johns Hopkins University, the University of Maryland College Park and other affiliated institutions.
 
−
 
 
−
Candidates should have a strong background in one of the following areas:
 
−
 
 
−
- NATURAL LANGUAGE PROCESSING: Information extraction, knowledge distillation, machine translation, semantic annotation, text processing, etc.
 
−
 
 
−
- SPEECH PROCESSING: Robust speech recognition across language channel, formal vs. informal genres, speaker identification, language identification, speech retrieval, spoken term detection, etc.
 
−
 
 
−
- MACHINE LEARNING: Learning on very large datasets and streams for text and/or speech, feature extraction, domain adaptation, semi-supervised learning
 
−
 
 
−
The COE was founded in January 2007 and has a long-term research contract as an independent center within Johns Hopkins University. Located next to Johns Hopkins’ Homewood Campus in Baltimore, Maryland, the COE’s distinguished contract partners include the University of Maryland College Park, the Johns Hopkins University Applied Physics Lab, and BBN Technologies of Cambridge, Massachusetts.  World-class researchers at the COE focus on fundamental challenge problems critical to finding solutions for real-world problems of importance to our government sponsor. The COE offers substantial computing capability for research that requires heavy computation and massive storage. In the summer of 2009, the COE will hold its first annual Summer Camp for Advanced Language Exploration (SCALE), inviting the best and brightest researchers to work on common areas in speech and NLP. Researchers are expected to publish in peer-reviewed venues.
 
−
 
 
−
Applicants should have earned a Ph.D. in Computer Science or a closely related field. Applicants should submit a curriculum vitae, research statement, names and addresses of at least four references, and an optional teaching statement. Please send applications and inquiries about the position to hltcoe-hiring@jhu.edu.
 
−
 
 
−
While applications will be evaluated as received until the position is filled, applicants are strongly encouraged to indicate intent to apply by contacting the center before April 1, 2009. U.S. Citizenship is required and applicants should note citizenship status on their application. Additionally, security clearance is required and the COE will seek a clearance for those who do not already have one. The Johns Hopkins University is an equal opportunity employer and has a smoke-free environment.
 
−
 
 
−
 
 
−
== Chair and Lectureship in Computing Science, Aberdeen ==
 
−
 
 
−
* '''Employer:''' University of Aberdeen
 
−
* '''Titles:''' Chair (full professor), Lecturer (assistant professor)
 
−
* '''Specialty:''' See full adverts. Areas include multi-modal interaction and natural language generation
 
−
* '''Deadline:''' April 13, 2009
 
−
* '''Date Posted:''' February 26, 2009
 
−
* '''Links to website:''' [http://www.abdn.ac.uk/jobs/display.php?recordid=NAT016A | Chair position] [http://www.abdn.ac.uk/jobs/display.php?recordid=NAT017A | Lectureship position] [http://www.csd.abdn.ac.uk/research | Research at Aberdeen]
 
−
 
 
−
 
 
−
== Natural Language Generation Group, The Open University: Research Associate, Text-to-Text Generation/Dialogue ==
 
−
 
 
−
* '''Employer:''' The Open University
 
−
* '''Title:''' Research Associate
 
−
* '''Specialty:''' Text-to-Text Generation/Dialogue
 
−
* '''Deadline:''' February 15, 2009
 
−
* '''Date Posted:''' February 3, 2009
 
−
* '''Link to website:''' [http://www3.open.ac.uk/employment/job-details.asp?id=4373&ref=ext| job details and application form]
 
−
 
 
−
 
 
−
== Postdoctoral and research engineer positions available at the Singapore Management University ==
 
−
 
 
−
The School of Information Systems at the Singapore Management University is seeking to fill a few postdoctoral and research engineer positions for the projects "Transfer Learning for Adaptive Relation Extraction" and "Mining Interaction Behaviors from Information Exchange Networks."  These are two-year projects supported by the Singapore Defense Science Organization, starting in April 2009.
 
−
 
 
−
The goal of the first project is to develop adaptive learning algorithms for relation extraction from free text. In real applications of relation extraction, there is often insufficient training data available for the target relations in the target domain, but labeled data from related domains or for related relation types can be borrowed. The research questions to be answered are therefore (1) how existing transfer learning algorithms can be applied in the particular context of relation extraction, (2) how human knowledge can be incorporated, and (2) what new transfer learning techniques are needed for adaptive relation extraction.
 
−
 
 
−
The goal of the second project is to study characterization and measurement of interaction behaviors in information exchange networks based on user-generated interaction data.  We will focus on information exchange networks which involve actors sending information to one another.  Examples of such networks include email and blog networks. The research will focus on interaction behaviors that suggest actor roles in an information exchange network and may infer relationships between actors in the network.
 
−
 
 
−
The postdoctoral candidate must have completed all requirements for his/her PhD degree by the time of appointment. The research engineer candidate must have completed a good undergraduate or master degree in computer science or computer engineering.  The ideal candidates are expected to have the following skills/qualifications:
 
−
 
 
−
  - Knowledge and experience in machine learning, data mining and statistics/probabilities
 
−
  - Strong programming skills
 
−
  - Proficiency in English
 
−
 
 
−
For the first project, we also prefer candidates with
 
−
 
 
−
  - Knowledge and experience in natural language processing
 
−
  - Experience with information extraction, transfer learning and/or semi-supervised learning is a plus
 
−
 
 
−
For the second project, we also prefer candidates with
 
−
 
 
−
  - Knowledge in social network analysis and web mining
 
−
 
 
−
The salary for the postdoctoral position will be around 5,000 SGD per month.  The salary for the research engineer position will be based on the candidate’s working experience and academic degree.
 
−
 
 
−
To apply for the positions, send your full CV with list of publications, names and contact information of two referees, a statement of research qualifications and interests, and two sample publications (if any) to the following principle investigators:
 
−
 
 
−
  1. Transfer Learning for Adaptive Relation Extraction: Jing Jiang (jingjiang@smu.edu.sg).
 
−
  2. Mining Interaction Behaviors from Information Exchange Networks: Ee-Peng Lim (eplim@smu.edu.sg).
 
−
 
 
−
 
 
−
== Tenure Track Faculty Position: Assistant/Associate Professor in Human Computer Interaction, Montclair State University, NJ, USA ==
 
−
 
 
−
Vacancy #: VF-22
 
−
Department: Computer Science
 
−
 
−
The Department of Computer Science invites applications for a tenure track position in Human Computer Interaction (HCI) and Visualization. The Department’s 13 faculty members support the BS in Computer Science with an ABET CAC accredited track, the BS in Information Technology and the MS in Computer Science. The position requires a willingness to teach a variety of computer science and information technology courses at all levels to ethnically diverse students. The position entails the ability to work as a member of interdisciplinary teams as the Department develops and modifies computing undergraduate and graduate programs with a planned doctoral program in computational science. In addition, the successful candidate will develop and maintain an active research program with student involvement.
 
−
 
−
Qualifications & Requirements: Candidates must have a Ph.D. in computer Science or a very closely related discipline. Candidates must have expertise in Human Computer Interaction with preference to candidates with experience in software engineering, interfaces, and visualization, and research in HCI. Candidates must have good communication skills. We are looking for candidates with experience in teaching undergraduate computing courses and in working as a member of a team. All faculty are expected to have an ongoing research program, to commit to quality teaching, to be involved in professional activities, and to pursue external funding to support their scholarship.
 
−
 
−
Salary Range:            Salary and range is dependent on qualifications.
 
−
Anticipated Start Date:  September 1, 2009
 
−
 
 
−
Send letter and resume to (include vacancy # if above):
 
−
Send hardcopy (no email documents) that includes C.V., at least three professional references, statement of research interests, teaching philosophy with experience, and professional goals to:
 
−
 
 
−
Search Committee — V- F22
 
−
Department of Computer Science
 
−
Montclair State University
 
−
Montclair, NJ 07043
 
−
 
 
−
(include V number) and professional goals to:
 
−
Search Committee — V- F22
 
−
Department of Computer Science
 
−
Montclair State University
 
−
Montclair, NJ 07043
 
−
 
 
−
Apply By: Screening begins immediately and continues until the position is filled.
 
−
 
 
−
Montclair State is a New Jersey State university. It is located 14 miles west of New York City.
 
−
 
 
−
 
 
−
== Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research Centre Europe, Grenoble - France ==
 
−
 
 
−
The main research lines within the Cross Language Technologies (CLT) area at XRCE are Statistical Machine Translation, Cross-Lingual Information Retrieval and Machine Learning Techniques for Cross-Lingual Applications. CLT is currently coordinating the European Project SMART (Statistical Multilingual Analysis for Retrieval and Translation) [http://www.smart-project.eu].
 
−
 
 
−
XRCE has received funding from the PASCAL-2 Network of Excellence [http://pascallin2.ecs.soton.ac.uk] for conducting, in partnership with Bar-Ilan University in Israel, a "Pump Priming" project on the topic of "Context Models for Textual Entailment and their Application to Statistical Machine Translation". One of the goals of the project is to investigate situations in which, while a translation system may not have enough knowledge to adequately translate a source text into a target text, it may be able to do so based on entailment rules learned from monolingual data.
 
−
 
 
−
We are looking for preferably one (in this case the internship would be for 10 months ) or two interns (in this case each internship would last 5 months with the first starting at the beginning of 2009) to work on this topic under the supervision of XRCE researchers, and in collaboration with our partners. The focus of the work will be on the following topics:
 
−
 
 
−
* Integration of existing paraphrase and entailment resources into SMT settings, and assessment of their applicability in this domain;
 
−
* Development (in collaboration with our partners) of novel models for assessing the validity of entailment rules in context and implementation of SMT-based modules that are able to exploit such rules;
 
−
* Methodology and measures for controlling the use of directional and bi-directional entailment rules in SMT;
 
−
* Use of entailment knowledge for evaluating the performance of SMT systems.
 
−
 
 
−
The ideal candidate will be a strong Master or Ph.D. student with background in statistical machine translation and/or statistical methods in NLP. The candidate will be fluent in C/C++ and/or Python. Some knowledge and practice of Machine Learning models and tools will be a plus, as will be some previous acquaintance with work on Textual Entailment.
 
−
 
 
−
Contact:
 
−
 
 
−
* Lucia Specia: lucia.specia@xrce.xerox.com
 
−
* Marc Dymetman: marc.dymetman@xrce.xerox.com
 
−
 
 
−
For more information: http://www.xrce.xerox.com/internships/LS-MD.TE-SMT_2009.2008.html
 

Revision as of 08:47, 17 March 2015

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.

Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)

  • Employer: Apple Inc.
  • Title: Language Understanding / Dialog Scientist
  • Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
  • Location: Cupertino, CA
  • Deadline: rolling
  • Date Posted: December 2, 2014
  • Thomas Kollar: tkollar@apple.com

Description: Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.

Key Qualifications

  • Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
  • Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
  • Exceptional analytical, troubleshooting and problem solving skills
  • Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
  • Strong software engineering skills
  • Experience working with multilingual datasets
  • Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus

Description You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.

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

Additional Requirements 2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.

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.

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