Tenure Track Faculty in AI for Science and Society

3 days ago


Ann Arbor, Michigan, United States Society for Learning Analytics Research Full time
Job Title:

Tenure Track Faculty in AI for Science and Society

Job Summary:

The University of Michigan School of Information seeks a tenure-track faculty member in the field of AI for Science and Society. We are particularly interested in candidates building and applying novel AI approaches in transformative research of science and society.

Responsibilities:
  • 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.
Requirements:
  • PhD in Computer Science, Information Science, Statistics, Economics, Public Policy, or a related field.
  • Strong potential for research in generative AI and funding from external funding agencies.
  • Strong commitment to teaching and mentoring students from diverse backgrounds.
How to Apply:

All applicants should submit a cover letter, a vita, three representative publications, evidence of teaching excellence if available, a research statement, a teaching statement, and 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.

Application Deadline:

December 1, 2023



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