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This is a current listing of job announcements related to Statistics. To submit a job for posting please use the Statistics Job Submission Form. Please note that jobs are posted within 24hrs of submission. If you have any questions, comments, or need to make a correction regarding your job announcement, please contact

Tenure-Track position (Assistant Professor), Tenured position (Associate/Full Professor)

Company Information

The Department of Statistics and Data Sciences currently has 18 tenured and tenure-track faculty with research programs that span statistics, biostatistics, and machine learning and whose associative affiliations encompass biology, business, computer science, medicine, population health, engineering, and mathematics. The department is growing rapidly into a globally recognized center of excellence for research and education in statistical methodology, applied statistics, data science, and machine learning. The department sits amid one of the most intellectually vibrant universities in the country, with abundant opportunities for interdisciplinary research within the College of Natural Sciences and across the LBJ School of Public Affairs, the McCombs School of Business, Dell Medical School, the Oden Institute for Computational Engineering and Sciences, the Population Research Center, the Machine Learning Laboratory which houses the new NSF AI Institute for Foundations of Machine Learning, and many other research entities across the campus. A partnership with the Texas Advanced Computing Center (TACC) provides access to world-class computing resources. The department partners with other computing intensive disciplines through the TEXAS Computing initiative.

The department is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a multicultural and diverse environment. We are therefore interested in candidates who will contribute to such diversity and equal opportunity in higher education through their teaching, research, and service.

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.

Duties and Responsibilities

The Department of Statistics and Data Sciences at The University of Texas at Austin is seeking applicants for one tenure-track, one tenured, and one open rank faculty position to begin in Fall 2021 subject to the availability of funding. We are interested in filling positions across all ranks (assistant, associate, and full professor).
The successful candidates will be expected to teach undergraduate and graduate statistics and data science courses, have an active research program, supervise graduate students, collaborate with other faculty, and be involved in service to the department, university, and the profession. The department’s teaching load is two courses per year.

Position Qualifications

Full consideration will be given to applicants with research interests in any area of statistical applications, theory, or methods and in the emerging field of data science. The minimum qualification is a doctoral degree; strong applicants whose primary degree is not in statistics, biostatistics, machine learning, data science or a related area will also be considered, as long as their research exhibits independence and excellence in one of these areas. Candidates for tenure-track positions are evaluated based on their potential for developing an impactful research program and their ability to demonstrate a serious interest in teaching, mentoring, and service. Candidates for tenured positions are expected to have an internationally-recognized research program and to have demonstrated a strong commitment to excellence in teaching, mentoring, and service.