TENURE TRACK Assistant Professorship IN Statistics, University of Cincinnati

Oct 25, 2024

TENURE TRACK ASSISTANT PROFESSORSHIP IN STATISTICS
UNIVERSITY OF CINCINNATI, CINCINNATI, OHIO, USA

Current UC employees must apply internally via Success Factors > /UCEMPL

Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to 53,235 students, more than 11,000 faculty and staff and 350,000+ living alumni, UC combines a Top 35 public research university with a physical setting The New York Times calls “the most ambitious campus design program in the country.”

With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million Jobs Ohio investment, three straight years of record enrollment, worldwide leadership in cooperative education, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget stands at $1.85 billion, and its endowment totals nearly $1.8 billion.

Job Overview

Applications are invited for a tenure-track Assistant Professor position in statistics within the Department of Mathematical Sciences, which offers BS, MS and PhD degrees in statistics through its Division of Statistics and Data Science. We seek candidates in research areas in statistical methods for big data, including but not limited to high dimensional data analysis, statistical machine learning, computational statistics, and uncertainty quantification, with strong applications to big data such as imaging data, spatial data, network data, and genomics data.

Candidates in all other areas of statistics will also receive full consideration.

The appointment is expected to begin on August 15, 2025. Review of applicants will begin on December 2, 2024, 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 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 high-dimensional 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.
Mentoring graduate and undergraduate students.
Teaching both graduate and undergraduate courses in statistics.
Filling service roles for the university and statistics community, such as serving as 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.
Application Process

Candidates
* must* submit a statement about teamwork (maximum one page) in their application on the University of Cincinnati recruitment system (@  search Requisition # 97235), and upload the following documents either on Mathjobs.org (@ https://(Use the "Apply for this Job" box below).) , or to the UC recruitment system:

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 nancy.diemler.

FOR ALL FACULTY HIRES OFFICIAL ACADEMIC TRANSCRIPTS WILL BE REQUIRED AT THE TIME OF HIRE.

Compensation and Benefits

UC offers a wide array of complementary and affordable benefit options, to meet the financial, educational, health, and wellness needs of you and your family. Eligibility varies by position and FTE.

Competitive salary range dependent on the candidate’s experience.…