Tenure Track Assistant Professor
The International Society for Bayesian Analysis
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 ( 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 View email address on click.appcast.io. 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 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 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: 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 View email address on click.appcast.io. 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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