Employment opportunities posted 2008

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  • This is an archive of employment opportunities that were posted in 2008.


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


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.



• 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


• 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


• 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


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:


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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