Professor of Data Science

William & Mary; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

The Department of Data Science at William & Mary invites applications for a tenured Professor position in artificial intelligence, machine learning, and data-intensive research addressing large-scale computational problems with broad societal implications.

We seek candidates with demonstrated excellence in research and teaching in generative AI, natural language processing, Physical AI, AI for Physical Sciences, and related areas.

Qualifications

• PhD in Data Science, Computer Science, or closely related field by August 2027.
• Experience teaching and mentoring undergraduate and graduate students.
• Strong record of externally funded research with international visibility and scholarly achievement.

Responsibilities

• Research, teaching, and service to the university.
• Establish and maintain a vibrant externally funded and internationally recognized research program.
• Teaching expectation includes courses in AI/NLP and contributing to emergent curricula around generative AI.

Skills

Teaching experience

Mentoring

Research leadership

International visibility

Education

PhD in Data Science/CS

Job description

Job Requisition: JR102152 Professor of Data Science (Open)

Job Posting Title: Professor of Data Science

Department: CC00110 WM001 | CDSP | Data Science

Job Family: Faculty - Tenure Track (Less than 12 months)

Worker Sub-Type: Regular (benefited)

Job Requisition Primary Location: Integrated Science Center

Primary Job Posting Location: Posting Location - William & Mary

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.

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

Compensation Grade: S99

Recruiting Start Date: 2026-10-13

Position Restrictions: Continuing E&G funded position and not term-limited

EEO Statement

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. https:// www.eeoc.gov/know-your-rights-workplace-discrimination-illegal

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.