Assistant Professor
About The Position
The School of Public Policy at the University of Maryland, College Park, in partnership with the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM), seeks a tenure-track Assistant Professor in Artificial Intelligence and Public Policy, beginning in Fall 2027. This is a joint appointment, with the School of Public Policy as the tenure home and a 50% appointment in the School and 50% in AIM. The successful candidate will strengthen research and teaching at the intersection of artificial intelligence and public policy, contributing to interdisciplinary work on the development, deployment, governance, and public policy implications of AI. Candidates should bring deep expertise in AI and an ambitious research agenda examining public policy dimensions of AI. Relevant areas include AI in government and public-sector decision making; AI governance, regulation, safety, security, and risk management; effects on security and critical infrastructure resilience; democracy, media, and information; economic development and workforce implications; sustainability, energy, and the environment; health and social policy; and AI/ML as a methodology for policy research. Contribution to an AIM pillar—accessibility, learning, sustainability, or social justice—is desirable. The candidate is expected to develop the potential for a nationally recognized, externally funded research program; teach in the School’s undergraduate and graduate programs, including current and future Science and Technology Policy offerings, and in AIM’s undergraduate programs; engage actively with AIM’s interdisciplinary community; and contribute to University-wide collaborations. The role will complement the School’s work in data science methods, technology governance, cybersecurity, information integrity, and responsible development and use of emerging technologies. Candidates from public policy and related disciplines are welcome if they have sufficient technical or computational expertise to contribute to instruction in AI, data literacy, computational methods, AI and data governance, or related areas.
Requirements
- PhD or equivalent terminal degree in public policy, computer science, data science, information science, statistics, mathematics, engineering, economics, political science, international relations, sociology, or another relevant field by the time of appointment.
- Deep expertise in artificial intelligence.
- An ambitious research agenda examining public policy dimensions of artificial intelligence.
- Sufficient technical or computational expertise to contribute to undergraduate and graduate instruction in relevant areas.
Nice To Haves
- Ability to contribute to one of AIM’s pillars: accessibility, learning, sustainability, or social justice.
Responsibilities
- Develop a research program on public policy dimensions of artificial intelligence with the potential to become nationally recognized and externally funded.
- Teach in the School of Public Policy’s undergraduate and graduate programs, including Science and Technology Policy offerings.
- Teach in AIM’s undergraduate degree programs, including relevant offerings in the Human-Centered AI program.
- Engage actively with AIM’s interdisciplinary community.
- Contribute to collaborations across the University.
- Contribute to instruction in areas such as artificial intelligence, data literacy, computational methods, and AI and data governance.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
