Employment opportunities, postdoctoral positions, summer jobs

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  • Please post your job ad below.
  • Jobs are listed in chronological order of posting: first is newest, last is oldest.
  • 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.
  • Archived postings:

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

The Human Language Technology Center of Excellence== 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) [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

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

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