Computational Linguistics Tenure-Track Assistant Professor
Rochester Institute of Technology · Rochester, NY · 2 wk ago
Education$80k–$90k/yrFull-time
About the role
The School of Psychology and Cognitive Science at the Rochester Institute of Technology invites applications for a full‑time, 9‑month tenure‑track Assistant Professor of Computational Linguistics, with an anticipated start date of August 16 2027. The position includes an affiliation with the Department of Modern Languages and Cultures in the School of Languages, Humanities, and Social Sciences.
Responsibilities
- Teach undergraduate and graduate courses in language technology, large language models, natural language processing, and/or computational speech processing.
- Teach foundational linguistics from a cross‑linguistic perspective and at least one additional linguistics, artificial intelligence, or cognitive science subfield.
- Develop and sustain an active research program in computational linguistics, pursue external grant funding, and publish regularly.
- Mentor graduate and undergraduate students through advising, research supervision, and in‑class experiences.
- Contribute to the interdisciplinary M.S. program in Artificial Intelligence and the Ph.D. program in Cognitive Science, and support B.S. in Artificial Intelligence majors.
- Engage in collaborative research across RIT in areas such as sign language linguistics, languages other than English, AI, human‑centered computing, and cybersecurity.
- Participate in departmental, school, and institute service as expected of tenure‑track faculty.
Requirements
- Ph.D. in Linguistics, Computational Linguistics, or a closely related field, to be completed by August 2027.
- Demonstrated ability to conduct independent research in computational linguistics.
- Evidence of consistent, recent publications in computational linguistics.
- Potential to obtain external research grants.
- Potential for excellence in teaching language technology, natural language processing, and/or computational speech processing.
- Potential for excellence in teaching foundational linguistics from a cross‑linguistic