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

About the role

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.

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.

Qualifications

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

Benefits

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.

Pay

The University of Michigan does not specify the pay for this position.

Schedule

The University of Michigan does not specify the schedule for this position.

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 74 FTE professors, and over 1,833 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.

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.

Contact Information

Please direct inquiries about this position to the chair of our faculty search committee, Qiaozhu Mei (qmei@umich.edu).

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.

EEO/AA Statement

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