Assistant, Associate, or Full Professor in Statistics
University of Texas at Austin
Assistant, Associate, or Full Professor in Statistics The Department of Information, Risk, and Operations Management (IROM) in the McCombs School of Business invites applications for tenure-track and tenured faculty positions in statistics to begin in August 2026. Applicants at any rank are welcome, and we especially encourage applications from candidates working in methodological areas relevant to business disciplines, including (but not limited to) causal inference, time series and panel data analysis, design (of experiments/quasi-experiments and surveys), missing data, privacy-preserving and federated data analysis, and their intersection with machine learning and AI. A demonstrated interest in applied work in any domain, while not required, is desirable. Statistics faculty in McCombs are an integral component of the research and teaching mission of IROM and of the College. The statistics group also has strong ties to the Statistics and Data Science Department in the College of Natural Sciences. As a leading research institution, UT Austin offers a vibrant intellectual environment with extensive cross-disciplinary collaboration possibilities. Current faculty have collaborative relationships across campus, including the Dell Medical School, College of Liberal Arts, and the LBJ School of Public Affairs. Faculty and students have access to world-class research infrastructure like the Texas Advanced Computing Center (TACC), one of the leading supercomputing centers in the country. Qualifications Candidates should have a doctoral degree in statistics, economics/econometrics, machine learning, computer science, or a related discipline by August 2026. Candidates should demonstrate potential to establish an independent, impactful research agenda and to achieve excellence in teaching, mentoring, and service. Associate/Full Professor (Tenured) Candidates should have a well-established independent research program and demonstrated excellence across teaching, mentoring, and service. Application Instructions Applicants should submit a cover letter, a CV, and research and teaching statements. Applicants will also be asked to supply the names and email addresses of three individuals willing to provide letters of support. Candidates applying for a tenured position may decline to provide letters of support at the initial application stage. The department is committed to respecting the confidentiality of the search process. A background check will be conducted on applicants selected for the positions. Review of applications will begin on or around November 20, 2025 and will continue until the positions are filled or the search is closed. Questions about the search process should be directed to View email address on click.appcast.io (Prof. Jared Murray, search committee chair). Equal Employment Opportunity Statement The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. #J-18808-Ljbffr University of Texas at Austin
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