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LINGUIST List 17.62

Wed Jan 11 2006

Jobs: Computational Ling: All Levels, U of Maryland

Editor for this issue: Vanessa Manion <vanessalinguistlist.org>

The LINGUIST List strongly encourages employers to use non-discriminatory standards in hiring policy. In particular we urge that employers do not discriminate on the grounds of race, ethnicity, nationality, age, religion, gender, or sexual orientation. However, we have no means of enforcing these standards. Job seekers should pay special attention to language in ads regarding employment requirements and are encouraged to consult our international employment page http://linguistlist.org/jobs/jobnet.html. This page has been set up so that people can report on the employment standards of various countries. To post to LINGUIST, use our convenient web form at http://linguistlist.org/LL/posttolinguist.html.
        1.    Fernanda Saba, Computational Linguistics: All Levels, University of Maryland, MD, USA

Message 1: Computational Linguistics: All Levels, University of Maryland, MD, USA
Date: 04-Jan-2006
From: Fernanda Saba <fsabacasl.umd.edu>
Subject: Computational Linguistics: All Levels, University of Maryland, MD, USA

University or Organization: University of Maryland, College Park
Department: Center for Advanced Study of Language
Job Rank: All Levels
Specialty Areas: Computational Linguistics


Human Language Technology/Computational Linguistics
Assistant/Associate/Senior Research Scientists

The Center for Advanced Study of Language (CASL), is seeking to expand its
research team in areas related to Human Language Technology (HLT) development,
evaluation, and adaptation for integration into the workplace.

CASL, a University-Affiliated Research Center located in a newly built facility
at the University of Maryland, offers HLT researchers the opportunity to pursue
innovative, transdisciplinary research in teams composed of linguists, computer
scientists, engineers, psychologists, anthropologists and second language
acquisition specialists.

Our mission is to pursue basic and applied research which will help government
language professionals improve their on-the-job performance in linguistic
analysis and foreign language training and testing. We work on complex problems
with authentic data, and we test and evaluate systems with the help of working
language professionals.

Our research emphasizes multilingual HLT applications (e.g. machine translation,
multilingual summarization, information extraction and retrieval, and speech
processing applications such as language, dialect, and speaker ID). For
instance, we have used machine learning to speed the development of such
language resources as dictionaries for emerging strategic languages, and data
mining and classification methods to select relevant material to enhance foreign
language learning.

In addition to our rich internal environment, CASL's affiliation with the
University of Maryland provides opportunities for collaboration with faculty and
students, participation in colloquia, and utilization of the many facilities of
a large research university with a highly ranked HLT faculty.

Preference will be given to those candidates whose record indicates the ability
to tackle complex, interdisciplinary research and to work with a range of
institutes and researchers. Candidates must have earned a Ph.D. in an area
providing training in Computational Linguistics or HLT (e.g., Computer Science,
Electrical Engineering, Information Science, or Linguistics). Candidates must
hold U.S. citizenship and be willing to obtain a security clearance. For
information on U.S. government security clearances, please see http://www.dss.mil/.

TO APPLY: Send a letter of application, curriculum vitae including potential
referees, and three representative publications to HLT Positions, CASL,
University of Maryland, Box 25, College Park, MD 20742 or email
jobscasl.umd.edu. For best consideration apply before 1 April 2006. The
University of Maryland is an affirmative action, equal opportunity employer.
Women and minorities are encouraged to apply. Questions about this position
should be sent by email to ablumbergcasl.umd.edu.

Address for Applications:

Fernanda Saba
University of Maryland, College Park
Center for Advanced Study of Language, Box 25
College Park, MD 20742

Application Deadline: Open until filled.

Contact Information:

Ms. Amanda Blumberg
Email: ablumbergcasl.umd.edu
Phone: (301)226-8814
Website: http://www.casl.umd.edu

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