Tenure track faculty in Applied Generative AI

Website University of Michigan

The University of Michigan 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. Candidates are expected to be able to teach residential and/or online courses related to applied data science and generative AI.

The successful candidate should demonstrate strong potential for research in generative AI and funding from external funding agencies.  The candidate is also expected to have a strong commitment to teaching and mentoring students from diverse backgrounds.

Job Expectations and Responsibilities:

Job duties include research, teaching, and serviceJob responsibilities include but are not limited to:

  • Conduct world-class research in generative AI, with a focus on developing new models and applications that have the potential to transform science and society.
  • Seek external funding to support their research program.
  • Teach undergraduate and graduate courses.
  • Mentor undergraduate and graduate students in their research.
  • Serve on UMSI committees and contribute to the school’s mission of teaching, research, and service.

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

Minimum Qualifications

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

How to Apply:

All applicants for this tenure-track or tenured faculty position in Accessibility should submit a cover letter, a vita, three representative publications, evidence of teaching excellence if available, a research statement, a teaching statement, a diversity statement. Applicants at the assistant professor level must submit three letters of recommendation; applicants at the associate and full professor level must submit the names of three recommenders. All application materials must be submitted electronically to : https://apply.interfolio.com/135664

Please direct inquiries about this position to the chair of our faculty search committee, Qiaozhu Mei (qmei@umich.edu).  Consideration of applications will begin immediately. Applications must be submitted by Dec. 1, 2023, for consideration as the job posting will close for review.

More information is available at this link.


To apply for this job please visit www.si.umich.edu.