Organization’s Summary Statement
The School of Public Policy at the University of Maryland, College Park, in partnership with the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM), seeks to appoint a tenure-track Assistant Professor in Artificial Intelligence and Public Policy, starting in Fall 2027. This is a joint appointment, with the School of Public Policy as the tenure home and a joint appointment in AIM (50% SPP / 50% AIM). The successful candidate will strengthen the School’s growing research and teaching capacity at the intersection of artificial intelligence and public policy and will contribute to interdisciplinary work on the development, deployment, governance, and public policy implications of AI.
We seek candidates with deep expertise in AI and an ambitious research agenda that examines public policy dimensions of artificial intelligence. Areas of interest may include, but are not limited to, the use of AI in government and public-sector decision making; national and international AI governance, regulation, safety, security, and risk management; the impacts of AI on international, national, and homeland security and critical infrastructure resilience; democracy, media, and information; economic development and the economic and workforce implications of AI; sustainability, energy, and the environment; health and social policy; and the use of AI/ML as a methodology for policy research. It is desirable if candidates are able to contribute to one of AIM’s pillars, which include accessibility, learning, sustainability, and social justice.
The successful candidate will have the potential to develop a nationally recognized, externally funded research program, teach in the School’s undergraduate and graduate programs, including existing and future offerings in Science and Technology Policy, and AIM’s undergraduate degree programs (e.g., the Law, Policy, and Governance specialization in the bachelor’s degree in Human-Centered AI), engage actively with AIM’s interdisciplinary community, and contribute to collaborations across the University. The position will also complement existing work within the School on data science methods, technology governance, cybersecurity, information integrity, and the responsible development and use of emerging technologies.
We welcome candidates from public policy and related disciplines who possess sufficient technical or computational expertise to contribute to undergraduate and graduate instruction in areas such as artificial intelligence, data literacy, computational methods, AI and data governance, or related areas.
Minimum Qualifications
Candidates should have a 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.
Physical Demands
Normal classroom teaching demands. No unusual physical or environmental demands.
Preferences
N/A
Licenses/Certifications
N/A
Required Application Materials
- A cover letter (up to two pages) describing the candidate’s qualifications for the position, research agenda, and preparation to teach in the School’s and AIM’s programs.
- A curriculum vitae.
- A research statement (up to two pages) describing current and planned research.
- A teaching statement (up to one page) describing the candidate’s teaching philosophy and the courses they could teach.
- Two representative publications or writing samples (e.g., journal articles, working papers, dissertation chapters, or policy reports).
- Contact information for at least three references.
Best Consideration Date
November 30, 2026
Posting Close Date
N/A
Open Until Filled
Yes
Financial Disclosure Required
No
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
Department
PLCY-School of Public Policy
Worker Sub-Type
Faculty Regular
Salary Range
110,000-125,000
Benefits Summary
For more information on Regular Faculty benefits, select this link.
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility
The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement
The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.
