The Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst invites applications for tenure-track faculty in Natural Language Processing (NLP) and similar areas at the Assistant and Associate Professor levels. Exceptional candidates at other ranks, such as full professor, may also be considered. The successful candidate will join UMass Amherst’s NLP and AI research environment and collaborate with faculty and researchers across CICS and the university. The position includes opportunities for interdisciplinary collaboration, including Synthesis Project collaborations with PhD students. Faculty fundraising may be supported through seed grants and CICS industry relationships, and faculty and their labs have access to the well-supported Unity GPU cluster. Applicants must hold a PhD in Computer Science or a related area before starting and show evidence of exceptional research promise. The anticipated start date is September 1, 2027; other dates, such as Spring 2028 or Fall 2028, may be considered. The position is subject to final budgetary and administrative approval. Work is performed in a standard office or indoor university environment and involves minimal physical exertion. The schedule is Monday through Friday, 40 hours per week, onsite in Amherst. The expected salary range is $79,350 to $204,268. The university determines specific pay based on relevant factors; starting salaries for tenure-track CICS faculty are typically well above the low end of the stated range. UMass Amherst and CICS support dual-career families through a Partner Employment Program and may help candidates find opportunities for partners within CICS, the university, or the nearby community, although job placement is not guaranteed. Applicants should provide a cover letter, current CV, research statement, teaching statement, a statement addressing how they would contribute to the Common Good, and contact information for three professional references. Interviewing is expected to begin in January 2027, and applicants seeking consideration for a Winter/Spring interview are encouraged to apply by December 1, 2026. The position will remain open for the period required by applicable collective bargaining agreements and until a suitable candidate pool is identified.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree