News and Events: Open Positions

Please note that this newsitem has been archived, and may contain outdated information or links.

Position in Computational Linguistics

Location: Georgetown University, Washington DC, USA

The Department of Linguistics at Georgetown University Seeks to hire a Computational Linguist at the Associate (tenured) or Assistant(tenure-track) Professor level, with a specialty in Natural Language Processing. Sub-specialty is open, and we invite applicants with research interests in one or more of the following: syntactic, semantic, phonological, or discourse modeling, information retrieval, machine translation, text generation and summarization, spoken language understanding and synthesis, CALL, and corpus linguistics.

Georgetown's Department of Linguistics has a large and diverse faculty and enjoys research and curricular links with the Computer Science Department. We seek a candidate who is able to teach students with a broad range of interests, and whose research program provides points of articulation with other areas of linguistic study in the department. The successful candidate will provide leadership for a professional Master's Degree program with a strong record of placing graduates in industry and government, mentor a small group of Ph.D. students, expand ties with Georgetown's Computer Science department, and maintain and develop relations with academic, corporate and government researchers in the Washington, D.C. area.

Ph.D. in Linguistics required; salary commensurate with experience. Send CV, three letters of reference, and copies of representative publications to:

Paul Portner
Chair, Search Committee
Department of Linguistics
Georgetown University
Washington, DC 20057-1051 USA

Priority will be given to applications received before November 1, 2002. Georgetown University is an Equal Opportunity / Affirmative Action employer and strongly encourages applications from women and minority candidates.

For more information, contact Paul Portner at .

Please note that this newsitem has been archived, and may contain outdated information or links.