Tenure-track Faculty Positions for All Ranks in Artificial Intelligence and AI-X

University-wide faculty recruitment covers core AI methods and interdisciplinary applications. Topics include learning theory, language and foundation models, robotics, trustworthy AI and AI systems. Appointees join a suitable home department, develop externally funded research, teach and mentor students, and collaborate across disciplines. Initial review begins on 1 December 2026.

Relevant doctorate, independent research potential and a record appropriate to rank. Submit the requested cover letter, CV, research and teaching statements and referee contacts using the employer instructions.