Assistant Professor of Computational Linguistics

Georgetown University

The Department of Linguistics at Georgetown University in Washington, DC invites applications for a tenure-track Assistant Professor position in Computational Linguistics, beginning in August, 2024.

We seek candidates with a commitment to excellence in research and teaching in any area of Computational Linguistics or NLP. The candidate will be expected to lead a vibrant research program, and teach and mentor students at the undergraduate, master’s, and Ph.D. levels – including graduate students within the computational linguistics concentration.

Of particular interest for this position are linguistically grounded computational approaches to *interaction* (broadly construed). This includes (for example) research in spoken/signed language processing, dialogue systems, LLMs, and language learning. Also highly valued is research involving underrepresented groups and languages/varieties (including low-resource NLP, as well as bias and ethics in language technologies).

The new hire will join a computational linguistics concentration with faculty who specialize in syntax, semantics, and discourse processing in text. The Linguistics Department at Georgetown is committed to a diversity of perspectives on language, and houses concentrations in computational linguistics as well as theoretical, socio-, and applied linguistics.

Qualifications: A Ph.D. in Linguistics, Computer Science, or a related field is required. Applicants must have the Ph.D. in hand by the time of the appointment.

Application Instructions: Dossiers should include a letter of application, curriculum vitae; statements of research, teaching, and diversity; 1–3 representative publications; and names (with contact information) of three references, who will be contacted by the system to request a letter of recommendation.

Please apply at:

All applications received by 1-Nov-2023 will be reviewed in full.

For further information, please contact the search committee chairs, Amir Zeldes and Nathan Schneider at and see