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# Open Rank Tenured/Tenure Track Professor of Data Science in Natural Language Processing

- **Company:** University of Virginia
- **Location:** Charlottesville, VA, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Computational Linguistics, Computer Engineering, Information Sciences, Natural Language Processing, Information Technology
- **Published:** September 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4287c97df6f75706

## About the Role

Candidates must have earned, or be on track to earn, a PhD in Data Science, Computer Science, Computational Linguistics, Linguistics, Information Science, Statistics, Electrical or Computer Engineering, or a closely related field by August 2027 or appointment start date. A commitment to advancing the University's mission is essential for all candidates ( https://provost.virginia.edu/faculty-handbook/mission-statement-university-virginia ).

When applying, candidates should detail their research expertise and interests, their instructional experience, preferred teaching domain, and other scholarly interests. Candidates should have a strong publication record in leading peer-reviewed NLP, computational linguistics, and AI venues. Examples include ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, TACL, Computational Linguistics, as well as other comparably selective venues appropriate to the work. Candidates for senior ranks (associate and full with tenure) must have a demonstrated record of excellence in research, teaching, and advising, in data science and/or closely related fields, and must have established a national/international reputation for contribution to the field in methodology, application, and impact. Candidates for assistant rank (tenure-track) must demonstrate the potential for excellence in methodological development and scientific impact in data science or a related field and have prior experience in
educational-related activities.



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