Seeking a tenure-track Assistant Professor in AI with a focus on sociotechnical, ethical, and societal impacts of AI technologies.
Responsibilities include developing an active research agenda, teaching undergraduate and graduate courses, mentoring students, publishing in peer-reviewed venues, securing external funding, and engaging in service activities within the school and university.
Minimum qualifications: PhD in a related field, research productivity in sociotechnical AI approaches, and teaching experience or potential.
Preferred qualifications: interdisciplinary collaboration experience, expertise in areas like human-centered AI or responsible AI, and ability to teach technical AI courses.
Candidates must demonstrate a commitment to diversity and excellence in research and teaching.
Application requires four references; review begins April 20, 2026, and closes May 20, 2026.