Tenure-Track or Tenured Faculty in AI for Science and Society

University of Michigan
School of Information

The University of Michigan’s School of Information (UMSI) in Ann Arbor, Michigan seeks qualified tenure-track assistant, associate, or full professor in the field of AI for Science and Society.  We are particularly interested in candidates building and applying novel AI approaches (e.g., generative models) in transformative research of science and society. This includes areas such as education, behavioral sciences, healthcare, future of work, digital humanities, public policy, social sciences, and other disciplines that are aligned with UMSI’s research landscape.

UMSI seeks applicants who can contribute to the missions of the school and the university. For more information about the position and application instructions, please visit https://www.si.umich.edu/about-umsi/prospective-faculty.

Job Expectations and Responsibilities:

Job duties include research, teaching, and service. Job responsibilities include but are not limited to: Teach postsecondary courses in the School of Information; advise and mentor students; conduct research in area of specialization; publish research in peer reviewed journals and other academic publications; seek external research funding; provide service to the School and University.

Each contributing member of the UMSI faculty is expected to have a teaching effort equivalent to three semester-long courses per year.

All application materials must be submitted electronically to: https://apply.interfolio.com/135664.

Minimum Requirements

●       PhD in Computer Science, Information Science, Statistics, Economics, Public Policy, or a related field.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks.  Background checks will be performed in compliance with the Fair Credit Reporting Act.