Employment opportunities, postdoctoral positions, summer jobs

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  • Please include the following information:
    • Employer
    • Rank or Title
    • Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
    • Location
    • Deadline
    • Date Posted
    • Contact email or link to website
  • See also the Linguist Job List.
  • Archived postings:


Scientist I, J.D. Power and Associates, Boulder, CO

• Employer: Web Intelligence Division, J.D. Power and Associates (McGraw-Hill)
• Title, Rank: Scientist I.
• Specialty: Machine Learning, Computational Linguistics, Natural Language Processing.
• Location: Boulder, Colorado.
• Start date: The position is available immediately.
• Date Posted: May 1st, 2009.
• Links to website: http://jdpowerwebintelligence.com
• Contact: Nicolas Nicolov <nicolas_nicolovNOSPAM@jdpa.com> [remove six chars]


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.

Requirements:

• Recent Ph.D. in Machine Learning, Computational Linguistics, Artificial Intelligence, Computer Science or equivalent.
• Strong statistical, natural language processing, machine learning background with emphasis on coreference, meronymy, dependency parsing, sentiment/opinion analysis, text clustering and categorization, graph analysis.
• Experience with scientific computing on large datasets, natural language processing, information extraction, information retrieval, multilingual datasets, distributed systems is a plus.
• Strong experience with C++/Java, Scala/Ruby/Python development of large software systems, Linux/Windows environments.
• Proven track record of publications/patents preferred.
• Multilingual processing is a plus.
• Strong verbal and written communication skills; UML, LaTEX, beamer.
• At least 4 years of research experience (relevant university experience - ok).
• Enthusiasm for solving challenging problems.

Research Position in Computational Linguistics at Austrian Research Institute for AI (OFAI), Vienna

  • Employer: OFAI, Vienna, Austria
  • Title: Researcher
  • Specialty: Computational Linguistics
  • Deadline: April 15, 2009
  • Date Posted: March 30, 2009
  • Links to website: [1]

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: | 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: | 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: | Chair position | Lectureship position | 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: job details and application form


National Research Council of Canada: Research Officer, Statistical Semantics

The Institute for Information Technology at the National Research Council of Canada has openings for two Research Officers to work in the area of statistical semantics, a sub-field of statistical natural language processing. These two positions are full-time and continuing. They are based in Ottawa, Ontario. The successful candidates will perform original research that contributes to the Institute's focus on language processing, text mining, and machine translation. They will, in collaboration with other researchers and programmers, create prototypes of their work and publish their research results in highly-cited journals and conferences. The position offers the opportunity to collaborate with colleagues, university researchers, and industrial partners.

The researchers will work in a results-driven environment and will have the opportunity to apply their research results to ongoing high profile projects, such as processing of textual medical records or performing machine translation.


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) [2].

XRCE has received funding from the PASCAL-2 Network of Excellence [3] 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

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