Linguistics – Acting Assistant Professor (AA22332)

Position Overview

Organization: College of Arts and Sciences, Linguistics

Title : Acting Assistant Professor, temporary

Search Number : AA22332

Position Details

A non-tenure-track appointment is intended in the area of computational linguistics beginning December 16, 2017 and ending September 15, 2018, associated with the professional MS program and Ph.D. track in Computational Linguistics.  University of Washington faculty engage in teaching, research, and service; the successful applicant will teach graduate and undergraduate courses and supervise graduate students. This position is full-time (100% FTE), with a 9-month service period.

Applicants should have a Ph.D. degree (or foreign equivalent) in Linguistics, Computer Science, related field and be highly qualified for undergraduate and graduate teaching and independent research. All qualified candidates are encouraged to apply.  We are interested in scholars active in all areas of computational linguistics, particularly computational semantics, pragmatics, machine learning, speech technology, and dialogue systems. The ideal candidate will complement existing strengths within the department and will be eager to interact with students and faculty from the broader speech and language processing community at the University of Washington.

The University of Washington, a recipient of the 2006 Alfred P. Sloan award for Faculty Career Flexibility, is committed to supporting the work-life balance of its faculty.







Application Instructions

Applications, including a curriculum vitae, statement of research and teaching interests, and three letters of recommendation, should be uploaded to Interfolio at Questions regarding the position can be directed to Priority will be given to applications received before March 1, 2017.  Please include your email address.

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.