Tenure Track Assistant Professorship in Statistics, University of Cincinnati
Next Lives at the University of Cincinnati
Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public
research universities. Home to more than 53,000 students, 12,000 faculty and staE, and
over 350,000 living alumni, UC, a Carnegie 1 institution, combines research prowess with a
physical setting. The New York Times has called “the most ambitious campus design
program in the country.” UC’s momentum has never been stronger as the anchor of the
Cincinnati Innovation District, the oldest cooperative education (co-op) program in the
country with students earning $88.8 million annually through paid experiences, an
academic health system, and as a member of the Big 12 Conference. The university
contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of
Ohio. At UC, next is all of us. Learn more at uc.edu.
UC is a mission-driven organization where we are committed to student success and
positively transforming the community through scholarship and service. We thrive on
innovation, making an impact, and fostering an environment where staE and faculty are key
contributors to UC’s success.
Job Overview
Applications are invited for a tenure-track Assistant Professor position in statistics within
the Department of Mathematical Sciences, which oEers BS, MS, and PhD degrees in
statistics through its Division of Statistics and Data Science. Candidates from all areas of
statistics will receive full consideration. This position will contribute to the department’s
research interest in statistical methods for big data—including, but not limited to, highdimensional
data analysis, statistical machine learning, computational statistics, and
uncertainty quantification—with applications in areas such as imaging, spatial, network,
and genomics data.
The appointment is expected to begin on August 15, 2026. Review of applicants will begin
on November 17, 2025, but the position will remain open until filled.
The standard teaching load for research-active faculty is six credit hours per semester. New
faculty receive a 25% teaching reduction and a reduced service role in each of the first two
years.
The department is dedicated to excellence in both research and teaching. Statistics faculty
in the department are involved in both methodological and interdisciplinary research. They
have diverse areas of research interests, which include scalable Bayesian methods, spatial
statistics, and statistical methods for massive or complex data, in general, and highdimensional
data analysis, statistical machine learning, uncertainty quantification,
statistical genomics, analysis of network data, and survey sampling, in particular.
Essential Functions
• Maintaining an active research program in statistics.
• Teaching both graduate and undergraduate courses in statistics, such as but not limited
to: Probability and Statistics, Applied Regression Analysis, Mathematical Statistics, and
Statistical Computing.
• Mentoring graduate and undergraduate students.
• Filling service roles for the university and statistics community, such as serving as a
peer reviewer for statistics journals, participating in department and college
committees including but not limited to undergraduate students advising, graduate
students advising, and exam committees.
Minimum Qualifications
Prior to the date of appointment, a PhD degree in Statistics or a closely related field with a
focus on statistics is required.
Application Process
Candidates must submit a statement about teamwork (maximum one page) in their
application on the University of Cincinnati recruitment system (https://jobs.uc.edu, search
100066).
Candidates also must submit the following documents online at https://jobs.uc.edu
(search, 100066), or on Mathjobs.org (@ https://www.mathjobs.org/jobs/list/27355):
• Cover letter.
• Copy of curriculum vitae.
• Description of research.
• Description of teaching experience (if applicable) and philosophy.
Candidates must also arrange to have three confidential letters of recommendation
submitted via mathjobs.org, or sent via email to ludwigsy@ucmail.uc.edu.
Compensation and Benefits
UC oEers an exceptional benefits package designed to support your well-being, financial
security, and work-life balance. (UC Benefits Link)
Comprehensive Tuition Remission
UC provides tuition remission for you and your eligible dependents, covering tuition costs
for nearly all undergraduate and graduate programs oEered by the university.
Robust Retirement Plans
As a UC employee, you won’t contribute to Social Security (except Medicare). Instead,
you’ll choose between state pension plans (OPERS, STRS) or an Alternative Retirement
Plan (ARP), with UC contributing 14–18% of your salary based on position.
Real Work-Life Balance
UC prioritizes work-life balance with a generous time-oE policy, including:
• Vacation and sick time
• 11 paid holidays and additional end-of-year paid time oE (Winter Season Days)
• 6 weeks of paid parental leave for new parents
Additional Benefits Include:
• Competitive salary based on experience
• Comprehensive health coverage (medical, dental, vision, prescription)
• Flexible spending accounts & wellness programs
• Professional development & mentorship opportunities
To learn more about why UC is a great place to work, please visit our careers page at
https://www.uc.edu/careers.html
UC is an E-Verify employer. If hired into this position, you will be required to provide
satisfactory proof of employment eligibility by providing acceptable, original forms of
identification for employment verification via the Federal I-9 employment verification
process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-
central/form-i-9-acceptable-documents
Important: To apply, you must create a profile and submit a complete job application
through the UC applicant portal. We are unable to consider “easy apply” applications
submitted via other websites. For questions about the UC recruiting process or to request
accommodations with the application, please contact Human Resources at jobs@uc.edu.
Equal Opportunity Employer. Building a workplace where all qualified applicants will
receive consideration for employment, including Individuals with Disabilities and
Protected Veterans.
REQ: 100066
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