Professor of Data Science

WM001 William & Mary; United States; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

On-campus fitness facilities

University libraries

Wellness resources

Educational assistance

Professional development opportunities

Robust holiday schedule

Job summary

William & Mary invites applications for a tenured Professor position in artificial intelligence, machine learning, and data-intensive research with broad societal impact. The candidate will lead a thriving research program, teach NLP and AI courses, and mentor students, while developing curricula around generative AI; appointments begin August 2027.

Required PhD by Aug 10, 2027, with a proven record of funded research and international visibility.

Qualifications

• PhD in Data Science, Computer Science, or a closely related field by Aug 10, 2027.
• Track record of externally funded research and scholarly achievement.
• Experience teaching and mentoring undergraduate and graduate students.
• International visibility in AI/Data Science research community.

Responsibilities

• Establish and maintain a vibrant externally funded and internationally recognized research program.
• Teach courses in natural language processing and other AI-related topics.
• Contribute to emergent curriculum around generative artificial intelligence.
• Provide mentorship to Master’s and Ph.D. students.

Skills

Generative AI

NLP

Research leadership

Teaching experience

Education

PhD in Data Science/CS/related field

Job description

Job Description Summary

The Department of Data Science at William & Mary, a public university of the Commonwealth of Virginia, seeks applications for a tenured position at the Professor level in artificial intelligence, machine learning, and data-intensive research addressing large-scale computational problems with broad societal implications. Appointment will begin August 10, 2027. We are interested in individuals with research and teaching expertise in generative artificial intelligence, natural language processing, Physical AI, AI for the Physical Sciences, and related areas of artificial intelligence. Exceptional applicants from other areas of artificial intelligence will be considered.

Job Description

Required Qualifications: Applicants must hold a Ph.D. in Data Science, Computer Science, or a closely related field at the time appointment begins (August 10, 2027). Previous experience in teaching and mentoring successful undergraduate and graduate research. The successful applicant will demonstrate a track record of externally-funded research, extensive scholarly achievement, and intellectual leadership and international visibility in the broader artificial intelligence and data science research community.

Preferred Qualifications: Evidence of scholarly leadership in the broader field, such as service for major conferences or journals.

Duties

Research, teaching, and service to the university. The applicant is expected to establish and maintain a vibrant externally funded and internationally recognized research program that inspires a highly motivated undergraduate student body and supports Master’s and Ph.D. students. Teaching expectation is one course per semester. Successful applicants must possess the skills to teach compelling courses in natural language processing and other lecture and seminar-style courses, and to contribute to the development of an emergent curriculum around generative artificial intelligence.

For full consideration, submit application materials by the initial review date, 11/13/2026. Applications received after the initial review date will be considered if needed. All required supplemental application materials mentioned above must be clearly identified and included with your application for full consideration. Review of applications is ongoing. Applications received after the initial review date will be considered if needed. Information on the degree programs in the Department of Data Science may be found at ds.wm.edu.

Additional Job Description

Job Profile: JP0519 - Professor (Less than 12 months)

TE - Exempt - Salary - S99 Qualifications: Compensation Grade: S99 Recruiting Start Date: 2026-10-13 Position Restrictions: Continuing E&G funded position and not term-limited

EEO is the Law.

Applicants can learn more about William & Mary's status as an equal opportunity employer by viewing the Know Your Rights poster published by the U.S. Equal Employment Opportunity Commission.

Background Check

Background Check: William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

Applicant Notice

By applying for this position, you consent to William & Mary's use, review, and retention of your application materials for recruitment and employment purposes. Materials may be shared with authorized individuals participating in the hiring process and will be managed in accordance with applicable laws and university policies.

Probationary Period Notice

Individuals selected for full-time staff positions will be required to complete a twelve (12) month probationary period in accordance with university policy.

Remote Work Disclaimer

Remote work eligibility is not guaranteed and is subject to approval. Employee eligibility depends on the likelihood of the employee succeeding in a remote work arrangement and the supervisor’s ability to manage remote workers. Departments and/or Human Resources may amend, alter, change, delete, or modify eligibility.

Benefits

• access to on‑campus fitness facilities
• university libraries
• other wellness resources
• Educational assistance
• professional development opportunities
• robust holiday schedule