Assistant / Associate Professor (tenure track)

About the Role

The Department of Technology, AI and Society (DTAS) at Stony Brook University has multiple tenure-track faculty positions. We are seeking teacher-scholars with rigorous research on AI's design, governance, and experience, combined with a commitment to teaching and mentoring. Applicants from technical fields (e.g., computer science, information science, engineering) and social sciences, policy, ethics, and science and technology studies are welcome.

Key Responsibilities

• Build and grow an innovative, independent research program in AI and society, publishing in top-tier journals and conferences.
• Develop and teach interdisciplinary undergraduate and graduate courses.
• Pursue external funding for research.
• Mentor undergraduate, master's, and doctoral students.
• Collaborate with colleagues across disciplines, including computer science, political science, public policy, sociology, and environmental sciences, and with Stony Brook's AI Innovation Institute.
• Contribute to building the new department through service, curriculum development, and community engagement.

Key Areas of Interest

• AI, Sustainability and Environment
• AI, Health and Medicine
• AI and Education
• AI Policy and Governance
• AI Ethics
• Responsible AI

Joint appointments with other departments or units, or the AI Innovation Institute, may be possible for qualified candidates.

Requirements & Tech Stack

• PhD (or expected by the start date) in a relevant field:
• Computer science
• Data science
• Information science
• Public policy
• Ethics
• Sociology
• Political science
• Environmental science
• Science and technology studies
• A strong research agenda on AI and Society, informed by a solid understanding of the underlying technologies.
• Demonstrated potential for excellence in both research and teaching.
• For appointment at the Associate Professor level, a record of research, teaching, and external funding that merits tenure at Stony Brook.
• Experience or clear interest in interdisciplinary collaboration.
• A record of, or clear potential for, securing external research funding.
• Experience mentoring students or teaching courses on AI and society.

Application Instructions

• To apply, visit http://apply.interfolio.com/195848.
• Applications received by January 1, 2027, will receive full consideration.
• Candidates who apply on or after January 2, 2027, will be considered on a rolling basis until the position is filled.
• All application materials must be submitted online.
• Required documents:
• Cover letter
• Curriculum vitae
• Research statement
• Teaching statement
• Three representative publications
• Names and contact information for three references
• Inquiries may be directed to the search committee chair, Todd Pittensky, at [email protected].