Professor of Data Science
William & Mary and the Virginia Institute of Marine Science · Geneseo, NY, US
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About the Role
The Department of Data Science at William & Mary seeks a tenured Professor specializing in artificial intelligence, machine learning, and data-intensive research. This role focuses on addressing large-scale computational problems with societal impact, with a particular interest in generative AI, NLP, and Physical AI.
Responsibilities
- Conduct research, teaching, and service to the university.
- Establish and maintain a vibrant, externally funded, and internationally recognized research program.
- Inspire undergraduate students and support Master's and Ph.D. students.
- Teach one course per semester.
- Teach compelling courses in natural language processing and other lecture/seminar formats.
- Contribute to the development of an emergent curriculum around generative artificial intelligence.
Requirements
- Hold a Ph.D. in Data Science, Computer Science, or a closely related field by August 10, 2027.
- Possess previous experience in teaching and mentoring successful undergraduate and graduate research.
- Demonstrate a track record of externally-funded research.
- Show extensive scholarly achievement.
- Exhibit intellectual leadership and international visibility in AI and data science research.
Skills
- Artificial intelligence
- Machine learning
- Data-intensive research
- Generative artificial intelligence
- Natural language processing
- Physical AI
- AI for the Physical Sciences
- Teaching
- Mentoring
- Research program development
- Curriculum development
Location
- Integrated Science Center
- William & Mary
Work Type
- Tenure Track
- Regular (benefited)
- Full-time
Experience Level
- Professor level
Education Level
- Ph.D.
Benefits
- Benefited
About the Company
- William & Mary is a public university of the Commonwealth of Virginia.
Equal Opportunity
- EEO is the Law.
- 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.
- 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.
- 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 eligibility is not guaranteed and is subject to approval.