University of Michigan Department of Statistics Tenure-track Assistant Professor
University of Michigan Department of Statistics
Location: Ann Arbor, Michigan
Type: Full Time
2 openings available.
Internal Number: TTAP23
The Department of Statistics at the University of Michigan, Ann Arbor, invites applications for two opportunities beginning August 28, 2023. One is a tenure-track assistant professor position, although exceptional candidates at higher ranks may be considered subject to additional approval from the administration. This is a university year (nine months) appointment. A Ph.D. in statistics or a related field is required. Applicants in all areas of statistics and data science who have demonstrated outstanding research potential, excellence in teaching and commitment to diversity are encouraged to apply. Apply on mathjobs.org https://www.mathjobs.org/jobs/list/20292 and submit your curriculum vitae, academic transcript if less than three years post PhD, a statement of current and future research plans, a statement of teaching philosophy and experience, evidence of teaching excellence, a statement demonstrating your commitment to diversity, equity, and inclusion, up to three selected publications, and arrange for three recommendation letters to be uploaded to mathjobs. Review of applications will begin on November 1, 2022 and continue until the position is filled; apply by November 1 to ensure full consideration. For more information about the department, visithttp://www.lsa.umich.edu/stats/
The second opportunity is through the LSA Collegiate Fellows (LCF) program. This program recruits early career scholars whose research, and/or teaching, and/or service will contribute to diversity, equity, and inclusion in higher education. The program is open to all persons who meet the eligibility criteria, without regard to race, gender, ethnicity, or other identity characteristics. This faculty hiring initiative provides either one-two years of postdoctoral fellowship support in preparation for tenure track appointments or immediate tenure track appointments in LSA departments.. The deadline to apply is November 1, 2022. For more information and to apply, visit https://lsa.umich.edu/ncid/fellowships-awards/lsa-collegiate-postdoctoral-fellowship.html
We strongly encourage women and minorities to apply. The University of Michigan is supportive of the needs of dual career couples and is an equal opportunity/affirmative action employer. Offers for this appointment are contingent on successful completion of a background screening.
This offer is contingent upon reporting your COVID19 proof of vaccinations no later than one week before your appointment start date. You may request a medical or religious exemption; however, successful completion of the exemption process must occur prior to your start date. If you will not be up to date on your vaccinations at the time of hire (defined as receiving all recommended doses in the primary vaccine series and one booster when eligible), you may request an exemption. A temporary postponement may be requested if you are unable to receive the primary series or booster in your country of origin or current location. More information on this policy is available on the Campus Blueprint website. https://campusblueprint.umich.edu/
A Ph.D. in statistics or a related field is required. Applicants in all areas of statistics and data science who have demonstrated outstanding research potential, excellence in teaching, and commitment to diversity are encouraged to apply. For the collegiate fellow position, we especially encourage applications in the area of fairness in machine learning.
About University of Michigan Department of Statistics
The Department of Statistics is part of the College of Literature, Science and the Arts at the University of Michigan. We have a reputation as an international leader in statistical education and research. We have a variety of undergraduate and graduate programs that serve a wide spectrum of students interested in statistics and data science. Our faculty members are renowned researchers who work on some of the most interesting and relevant problems of the day. We continue to recruit the highest-quality faculty and students, and dedicate our attention and resources to producing leaders of the field for the next generation.