Tenure Track Assistant Professor

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 .
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.

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.

• 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.

Prior to the date of appointment, a PhD degree in Statistics or a closely related field with a focus on statistics is required.

Candidates must submit a statement about teamwork (maximum one page) in their application on the University of Cincinnati recruitment system ((Use the "Apply for this Job" box below). search 100066).

• 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.edu.

UC oEers an exceptional benefits package designed to support your well-being, financial security, and work‑life balance. (UC Benefits Link)

UC…