Employment opportunities, postdoctoral positions, summer jobs

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Please post your job ad below. Jobs are listed in chronological order of posting. Please remove your posting when the position is filled. Please include the following information:

  • Employer
  • Rank or Title
  • Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
  • Deadline
  • Date Posted
  • Contact email or link to website

See also the Linguist Job List.

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) [1].

XRCE has received funding from the PASCAL-2 Network of Excellence [2] 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

Machine Learning Winter Internship, Google New York

We are looking for a masters or PhD student to work on a large ML infrastructure project at Google New York. Good coding abilities and graduate level course work or research experience in ML is desirable. This is a great opportunity to see machine learning and classification at work in a leading technology company.

The period of the internship will be for 3-6 months with a flexible starting date. If interested, please send an email to ryanmcd+wi@google.com with a resume and any date constraints you may have.

Ryan McDonald, Google Research, New York

Research Position at Stanford CSLI: Robust Dialogue Understanding and Dialogue Management

The Center for the Study of Language and Information (CSLI) at Stanford University is seeking a Research Scientist to work on multimodal spoken-language dialogue systems, starting as soon as possible, preferably 1 September 2008.

The ideal candidate is a Computational Linguist with an interest in the computational semantics and pragmatics of dialogue, with experience in formally-inspired and/or statistical/machine-learning approaches to natural language processing and dialogue modeling. The position requires a Ph.D. in computational linguistics, natural language processing, artificial intelligence, cognitive science, or a related field. Applicants should have a demonstrated capacity to define and implement a research plan, and to conduct individual and collaborative research consonant with the dialogue-systems projects underway at CSLI.

Current research into dialogue at CSLI includes human-human, human-computer and human-robot dialogue modeling, and employs a variety of techniques, including symbolic and stochastic, theory and data-driven. Proficiency in multiple approaches relevant to current CSLI application areas will be highly valued, as will an ability to participate in implementation.

Research topics of particular interest include:

  • robust semantic interpretation from noisy data (e.g. fragment parsing, role detection);
  • robust context-based pragmatic interpretation (e.g. anaphora/ellipsis/fragment resolution, dialogue act detection);
  • multi-party discourse modeling (e.g. group decision-making, collaborative task planning, addressee detection);
  • multimodal dialogue management;
  • multimodal incremental processing;
  • probabilistic dialogue state/activity modeling and tracking.

The successful candidate will work with faculty, postdoctoral, and student researchers in the Dialogue Systems Group at CSLI, performing novel research and developing core infrastructure for natural multimodal conversational systems for a range of interactions and applications. Responsibilities will include supervising student research assistants and participating in proposal-preparation to attract new funding.

The CSLI Dialogue Systems Group consists of about fifteen people, and is involved in a number of projects including close collaboration with other Stanford departments, numerous other academic institutions, government agencies such as NASA, not-for-profit research organizations such as SRI, and various commercial enterprises. Current projects include: understanding multi-party conversational interaction; speech-enabled intelligent tutoring systems; collaborative control of teams of robotic devices; and situated human-robot interaction.

The position is initially for 1 year, renewable for up to 3 years (contingent on continued funding). Salary is dependent on qualifications and experience, but is expected to be in a range starting from $70,000 for a junior appointee, to $90,000 for a senior appointee.

Applicants should submit a letter of application and a full resume or curriculum vitae with names and email addresses of at least three references. Please contact Stanley Peters and Raquel Fernandez ({peters,raquelfr}@csli.stanford.edu) for further information.

Stanford University is an equal opportunity, affirmative action employer.

Job Announcement: Programmer Analyst - Text and Speech Annotation Support, Linguistic Data Consortium, Philadelphia, USA

Job Announcement: Research Statistician - Data Mining Applications Development, Cary, NC

Employer: SAS Institute, Inc.

Title: Research Statistician - Data Mining Applications Development-08002151

Specialty: Computational Linguistics

Deadline: Until Filled

Date Posted: June 30, 2008

Website: www.sas.com


Research Statistician - Data Mining Applications Development-08002151

Description

As a member of the SAS Enterprise Miner Development team, you will develop state-of-the-art algorithms to solve problems in text and data mining.

Your primary responsibility will be to develop algorithms to analyze tone and sentiment in textual documents, and to develop learning techniques to perform Boolean rule induction for textual categorization. In this role, you will collaborate with applications developers, senior statistical researchers, product marketing, systems engineers, and technical support personnel; and work with testing and documentation staff to develop test plans and contribute to product documentation. You will also research data mining applications; plan and develop implementations; and author papers and presentations on your work.


Qualifications


Essential

• Ph.D. degree in statistics, computational linguistics, computer science, or a related quantitative field


Equivalent Essential

• Master's degree in statistics, computational linguistics, computer science or a related quantitative field

• 2 years of experience developing statistical algorithms


Additional

• Excellent interpersonal and problem-solving skills

• Excellent written and verbal communication skills

• Ability to work independently, as well as with a team

• Knowledge of predictive modeling methods and applications


Preferences

• 3 years of experience developing statistical algorithms

• 2 years of experience programming in C

• Experience with SQL programming in relational database environments

• Experience with SAS platform technologies, such as Stored Process Development


Additional Information

The level of this position will be determined based upon the applicant's education, skills and experience.

Resumes may be considered in the order they are received.


Job: Software R&D

Primary Location: US-NC-Cary

Organization: SAS Institute Inc.

Classification: Full-time

Job Announcement: Postdoctoral Researcher in Natural Language Processing, School of Informatics, University of Edinburgh

POST-DOCTORAL RESEARCHER IN NATURAL LANGUAGE PROCESSING

Job Details

  • Job Reference 3009188
  • Department Informatics
  • Job Title Research Associate
  • Job Function Academic
  • Job Type Fixed Term: 36 months
  • Expiry Date 15 July 2008
  • Salary Scale GBP 28,290-33,779

Job Description

The School of Informatics at the University of Edinburgh invites applications for the post of researcher on the project ``Global Inference for Summarization Using Integer Linear Programming, funded by the EPSRC. This project will design and implement novel models for summarization that break away from the sentence extraction paradigm. The overall aim is to utilize global inference algorithms for the summarization task and demonstrate their superiority over traditional local optimization methods.

The position is suitable for a candidate with a PhD in Natural Language Processing, computer science, mathematics, or a related discipline. The successful applicant will have strong programming skills and experience with natural language processing techniques and machine learning. Experience with summarization and/or optimization methods is also desirable. He or she will be responsible for developing summarization models (both extractive and abstractive) within a global inference framework evaluation and for their evaluation. The starting date will be 01 September 2008, or as soon as possible thereafter.

Informal inquiries can be made by email to Mirella Lapata (mlap@inf.ed.ac.uk). Further particulars for this position can be found at:

http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3009188

The closing date for applications is 15 July 2008. Please submit your application online at the URL given above or in hardcopy to the following address, quoting job reference 3009188: 

Ms. Avril Heron
HCRC, University of Edinburgh
2 Buccleuch Place
Edinburgh EH8 9LW
United Kingdom
School of Informatics

Job Announcement: Natural Language Processing expert, Market Sentinel Ltd, London, UK

  • Employer: Market Sentinel Ltd, 9 Wigton Place, London SE11 4AN, UK +44 (0) 20 7793 1575
  • Title: Natural Language Processing expert (contract)
  • Deadline: May 30, 2008 (open until filled)
  • Date Posted: May 14th, 2008
  • Market Sentinel website: http://www.marketsentinel.com
  • We're a London-based company with a focus on social network analysis.
  • We offer a rare opportunity to join a young, fast-growing company.
  • The raw materials we process are online conversations, so we're looking for someone with expertise in natural language processing to join our team.
  • Our aim is to improve the ability of our platform to understand the text it encounters.
  • We're looking for a smart, self-motivated problem-solver whose keen to apply computational linguistics technology to the real world.
  • Knowledge of agile software development on a Linux platform would be helpful, as would experience of Python, Java, Perl and XML processing.
  • As we're an agile team, we like eloquent people who can communicate as well with other people as they can with machines.
  • We want more than just a developer, someone who can research problems, identify solutions and implement them. Your talents will help construct an emerging enterprise. If such challenges excite you, we'd love to hear from you.
  • Mail a CV to joinmarketsentinel [AT] gmail [DOT} com or call us to know more on the number above

Job Announcement: Programmer Analyst - Arabic Treebank, Linguistic Data Consortium, Philadelphia, USA

Job Announcement: Post-Doc in NLP, Universidad Carlos III, Madrid, Spain


Job Announcement: Computational Linguistics/Text Mining, Three three-year Postdoc positions, Macquarie University, Sydney, Australia

  • Employer: Centre for Language Technology, Macquarie University, Sydney, Australia
  • Title: Postdoctoral Research Fellow (three positions)
  • Specialty: Ph.D. in Computational Linguistics or a related area. The project is funded by the Capital Markets Cooperative Research Centre, which recently received a renewal of its funding from the Australian Government. The aim of the project is to build a sophisticated platform for

exhaustive extraction from large text collections.

  • Deadline: January 21 2008
  • Date Posted: January 5, 2007
  • Group website: http://www.clt.mq.edu.au
  • Application process: Applications must be made online via the Macquarie University website at

http://www.hr.mq.edu.au/, where you can also find out more about the positions: search for position 19478 via the 'Positions Vacant' link.

  • More information: Informal enquiries can be made to Robert Dale at rdale@ics.mq.edu.au.

Job Announcement: Computational Linguistics, Assistant Professor-Tenure Track, San Jose State University, San Jose CA

  • Employer: San Jose State University, Department of Linguistics & Language Development, San Jose CA, USA
  • Title: Assistant Professor - Tenure Track
  • Specialty: Ph.D. in linguistics with a specialization in Computational Linguistics. ABDs may be considered if doctorate is completed by August 2008. Required: Applicants must present evidence of teaching ability, scholarly activity and awareness of and sensitivity to the educational goals of a multicultural population as might have been gained in cross-cultural study, training, teaching, and other comparable experience.
  • Deadline: February 1, 2008
  • Date Posted: December 6, 2007
  • Department website: http://linguistics.sjsu.edu
  • See full job description at http://linguistics.sjsu.edu/pub/Public/WebHome/compling.pdf

Job Announcement: 2 Research Associates, Institute for Language and Speech Processing, Athens, Greece

  • Employer: Language Technology Applications Department, Institute for Language and Speech Processing, Athens, Greece
  • Title: Research Associates, Full-time for up to 3 years.
  • Specialty: Knowledge Representation and Reasoning, Machine Learning for Language Technology Applications respectively; experience with Ontologies and Multimedia Processing desirable
  • Deadline: 15 December 2007
  • Date Posted: 21 November, 2007
  • More information

Job Announcement: Visiting Research Scientist/Post-Doctoral Fellow

  • Employer: Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati OH, USA
  • Title: Visiting Research Scientist or Post-Doctoral, Full-time for up to 2 years.
  • Specialty: Natural Language Processing, experience with clinical text desired
  • Deadline: Until filled
  • Date Posted: December 18, 2007
  • More information

Job Announcement: Assistant Professor, University of Maryland, College Park

The Department of Computer Science at the University of Maryland, College Park, MD, USA invites applications for a position in Natural Language Processing at the rank of assistant professor (tenure-track).

Applications from women and minority candidates are especially welcome. Candidates with established research programs will be considered for joint appointments between the Department and the Institute for Advanced Computer Studies, the Department of Electrical Engineering, and the Institute for Systems Research.

Candidates should submit their application (curriculum vitae and research summary) online at: hiring.cs.umd.edu and have their references upload their letters to that site. At least three research letters and one teaching letter are required. We will begin the review of candidates by January 14, 2008; therefore, we encourage your early application.

Additional information about academic and research units within the Department of Computer Science at the University of Maryland is available on the World Wide Web at: http://www.cs.umd.edu and at http://www.umiacs.umd.edu

The University of Maryland is an Equal Opportunity, Affirmative Action Employer.

Posted October 8, 2007.

Job offer: Senior Software Engineer, Stanford CS department, Natural Language Processing group

The Natural Language Processing Group ( http://nlp.stanford.edu/ ) at the Stanford Computer Science department is looking for a Senior NLP Software Engineer to work on the Stanford Intellectual Property Clearinghouse project.

The goal of the Stanford IP Clearinghouse project is to address the broken US Patent System by creating a publicly accessible database of all Intellectual Property documents and building a specialized Semantic Search Engine on top of it. The project will benefit individual inventors, high-tech and bio-tech companies involved in technology transfer, patent policy makers, and legal professionals.

The project provides a unique corpus for NLP research: 

- Large collection of textual documents of multiple types
- IP domain provides rich imbedded structure within documents
- Many-to-many relationships between different document types

A few words on the Stanford Intellectual Property Clearinghouse: 

- CS Professor Chris Manning is a technical advisor
- Intel, Oracle, Cisco, Genentech, SAP and others are funding the effort
- Currently we have $3 million in funding
- There will be an opportunity for commercial spin-offs (startups)

Responsibilities:

The candidate will work with Professor Chris Manning on the project. The main responsibility of the Senior Software Engineer is to architect and implement the NLP system. The candidate will also provide technical direction to the project.

Qualifications:

The ideal candidate must have a PhD or MS in Computer Science in the field of Natural Language Processing or Computational Linguistics. Candidate must also have 5+ years of work experience in building large-scale Natural Language Processing systems.

  • Expert knowledge of Natural Language Processing field
  • Expert knowledge of Machine Learning techniques and algorithms
  • Expert knowledge of Graphical Models (Markov Random Fields, HMM, CRF, etc...)
  • Knowledge of Semi-supervised Machine Learning algorithms and bootstrapping
  • Expert programming skills in Java (5+ yrs of programming experience)
  • Expert knowledge of design and architecture of large-scale NLP systems written in Java
  • Experience with rapid development of large-scale NLP systems written in Java

Benefits:

  • Challenging, fun and startup-like environment at Stanford University
  • Opportunity to improve US Patent system and change the world
  • There will be an opportunity for commercial spin-offs (startups)
  • Full benefits (medical, dental, etc...)
  • Relocation
  • Telecommuting
  • Industry competitive salary ($120K - $140K)

For more information contact: 

George Grigoryev
Director of Project Engineering
Natural Language Processing & IR 
Stanford Intellectual Property Clearinghouse
george.grigoryev (at) stanford (dot) edu


Job offer: NLP/ML Researcher for Start Up, Cambridge, MA, USA

Company Overview HiveFire is an early stage funded start up located in Kendall Square in Cambridge, MA. HiveFire is in the online news space specializing in technology involving machine learning, natural language processing, information retrieval and human computer interaction. Current team consists of MIT alumni with engineering and research experience at Google, Microsoft, and several start-ups.

Location: Cambridge, MA

Description HiveFire is seeking to hire a talented individual with research experience in Natural Language Processing (NLP) and/or Machine Learning.

  • Ability to design, implement and evaluate sophisticated machine learning and text analysis models.
  • Solid understanding of both unsupervised and supervised approaches.
  • Familiarity with NLP tasks including but not limited to: summarization, document clustering, co-reference resolution, discourse analysis, transfer learning, text mining, document classification and natural language generation.

Education Graduate degree in Computer Science is preferred.

Compensation We offer competitive salary and equity with benefits such as paid vacation and health/dental insurance.

Website and Contact: http://www.hivefire.com

Date Posted: July 19, 2007

Job offer: Post-Doc in NLP, Darmstadt University, Germany

  • Ubiquitous Knowledge Processing Group, Dept. of Telecooperation, Darmstadt University, Germany
  • Post-Doc
  • Natural Language Processing related to Web 2.0 / eLearning as an application domain
  • open until filled
  • 01/01/2007
  • gurevych (at) tk (dot) informatik (dot) tu-darmstadt (dot) de, http://www.ukp.tu-darmstadt.de/node/76

Job offer: Sr Text Analytics Developer, RiverGlass, Chicago or Champaign, IL, USA

See full job description at http://www.riverglassinc.com/about/view_career.php?showID=9

RiverGlass, Inc. is seeking extremely talented and energetic innovators to help us perfect and advance our text analytics. We are creating some highly innovative applications that leverage sophisticate text and data analytics, and information visualizations to help customers in a variety of markets, ranging from homeland security and law enforcement to financial services.

  • Expert-level understanding of information extraction, summarizaiton, classification, clustering, tone/sentiment analysis, etc.
  • Experience in creation and exploitation of domain and task ontologies in text analytics a plus
  • open until filled, multiple positions
  • pcarroll (at) riverglassinc (dot) com, http://www.riverglassinc.com/about/view_career.php?showID=9

Job offer: Postdoctoral position, Stony Brook University, Stony Brook, NY, USA

Postdoctoral Position Available -- News/Blog Analysis

The Lydia project builds a relational model of people, places, and other entities through natural language processing of news sources and the statistical analysis of entity frequencies and co-locations. This model can be used to identify trends and other information flows through this entity network. Please visit http://www.textmap.org/ to see our analysis of recent news and blog postings obtained from over 500 daily online news sources.

Lydia gives us a way to measure the temperature of the political, economic, and cultural world. We track hundreds of thousands different entities arising in these news sources. We establish temporal and regional biases in interest, by analyzing the frequency and positive/negative sentiment of these entity references. We identify relationships between news entities, resulting in a massive network where the vertices represent news entities, with pairs of entities linked if there is a substantive relationship between them.

A two-year postdoctoral position (potentially extensible to three years or beyond) is now available to join our team. I am looking for someone with a background in either: 

      (1) natural language processing,
      (2) text mining or data mining,
      (3) graph algorithms and the science of networks, or
      (4) data analysis or visualization.

The applicant will be expected to use their expertise to improve the quality of our analysis, and help manage a team of roughly ten graduate students as we shift our focus beyond technological issues to questions of what this data means and how we can best exploit it.

Applicants *must* be U.S. citizens who will receive their Ph.D. in Computer Science, Linguistics, Economics, or a related field no later than August 2007. If interested, please send your vita and contact information electronically to skiena@cs.sunysb.edu or by mail to: 

      Steven Skiena
      Department of Computer Science
      Stony Brook University
      Stony Brook, NY 11794-4400
      http://www.cs.sunysb.edu/~skiena


Job Opening: Postdoctoral Researcher in Natural Language Processing, IBM T.J. Watson Research Center, New York, USA

The Semantic Analysis and Integration department at the IBM T.J. Watson Research Center is seeking a post-doctoral researcher on its open-domain question answering project. The project focuses on developing general and reusable QA technologies to achieve reproducible high-performing results in open-domain and specialized-domain question answering. This project offers the opportunity to work with more than 20 IBM researchers with backgrounds in NLP, IR, KR&R, and DB across multiple IBM research labs, as well as the opportunity to collaborate with our university partners. The responsibilities of the post-doc researcher will focus on developing effective techniques for leveraging multiple parsers to better match questions and passages for answer scoring purposes.

The successful candidate should have the following qualifications:

  • Ph.D. in Computational Linguistics
  • Demonstrated experience in statistical NLP techniques, parsing, and semantic analysis
  • Strong Java programming skills

Interested candidates should contact Jennifer Chu-Carroll by emailing jencc (at) us (dot) ibm (dot) com.

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

Montclair State is New Jersey’s second-largest and fastest-growing university. It is located in vibrant Montclair, just 14 miles away from New York City.















(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.
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