Joint Appointee: Statistics & CS — AI/ML & Trustworthy AI

University of California, Berkeley; Berkeley (CA); On-site; USD 84,000 - 163,000; Full time

Job summary

University of California, Berkeley invites applications for a joint tenure-track Assistant Professor position in the intersections of Statistics and Computer Science (EECS & Statistics). The appointment is expected to be 50% in EECS and 50% in Statistics, with start anticipated July 1, 2027.

The salary base ranges from $84,100 to $163,200 for the 9-month academic year, with off-scale pay possibilities. Open date is October 7, 2026 and final review date is November 10, 2026, Pacific Time.

Qualifications

• PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.
• Joint appointment is expected 50% in EECS and 50% in Statistics, with possible variation by mutual agreement.
• Areas of focus include Machine Learning (ML) and Artificial Intelligence (AI), and foundations of statistical ML/AI.

Responsibilities

• Teach undergraduate and graduate AI/ML courses in both departments.
• Advance research at the intersection of statistics and computer science, with emphasis on trustworthy AI.
• Contribute to service and mentoring within two departments.

Education

PhD (or enrolled in a PhD or equivalent international degree-granting program)

Job description

University of California, Berkeley invites applications for a joint tenure-track Assistant Professor position in the intersections of Statistics and Computer Science (EECS & Statistics). The appointment is expected to be 50% in EECS and 50% in Statistics, with start anticipated July 1, 2027.

The salary base ranges from $84,100 to $163,200 for the 9-month academic year, with off-scale pay possibilities. Open date is October 7, 2026 and final review date is November 10, 2026, Pacific Time.