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University of Michigan School of Information


Data Science (tenure-track professors)

Position description

The School of Information at the University of Michigan (UMSI) seeks tenured or tenure-track professors at the assistant, associate, or full level in the broad field of data science. Successful candidates will contribute to the research and service missions of the school and the university, and will be expected to teach courses related to applied data science in UMSI’s online and/or residential programs. We anticipate making up to two hires across the following overlapping areas of emphasis:

  • Machine learning
  • Causal inference from big data
  • Social media analytics
  • Learning analytics
  • Healthcare or public health analytics
  • Computational social science
  • Computational humanities
  • Fairness, accountability, and transparency
  • Human computation

Job Expectations and Responsibilities

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

  • Conducting scholarly research resulting in publications in peer reviewed journals, book chapters, edited books, books, and conference proceedings
  • Seeking outside funding to support their research
  • Teaching in UMSI’s five academic programs
  • Mentoring students for independent studies, master’s projects and theses, and doctoral dissertations.
  • Providing service to the school, University, and the broader academic community by way of committee work, journal editing, and other various opportunities

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

About UMSI and UM

The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to, our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.

The School is home to vibrant research and teaching programs, with 60 FTE professors, and over 1,400 students. We offer five degrees: a Ph.D., a Master of Science in Information, a Master of Health Informatics, a Bachelor of Science in Information, and an online Master of Applied Data Science. 

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top ten universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1.53 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $2.3 billion and an endowment valued at more than $12.5 billion. For more information about UMSI, please visit:

Minimum Qualifications

  • Ph.D. in an area such as information, computer science, statistics, health informatics, the humanities, social sciences, or other relevant area
  • A strong interest in teaching at the undergraduate and graduate levels
  • A strong commitment to interdisciplinary research and cultural diversity

Desired Qualifications

  • A proven record in teaching and research

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, a diversity statement, and three letters of recommendation. All application materials must be submitted electronically to:

Please direct inquiries about this position to the chair of our faculty search committee, Paul Resnick ( Consideration of applications will begin immediately. Applications submitted by January 7th will receive full consideration.    

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.

U-M EEO/AA Statement

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