Career Center

The Department of Statistics and Data Sciences at The University of Texas at Austin is seeking applicants for a tenure-track Assistant Professor position to begin in Fall 2023, subject to the availability of funding. 

The successful candidate 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 profession. The department’s teaching load is two courses per year. The department views inclusiveness and excellence as interconnected in the work of its faculty. 

The Department of Statistics and Data Sciences currently has 25 tenured and tenure-track faculty with research programs that span statistics, biostatistics, and machine learning. The department is internationally recognized for its excellence in 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 Dell Medical School, the Oden Institute for Computational Engineering and Sciences, the Population Research Center, the Machine Learning Laboratory, and many other research entities across the campus. A partnership with the Texas Advanced Computing Center (TACC) provides access to world-class computing resources.

More information about the department is here. 

Full consideration will be given to applicants with research interests in any area of statistical applications, theory, or methods; statistical machine learning; and 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 a tenure-track position are evaluated based on their potential for developing an impactful research program and for becoming excellent in teaching, mentoring, and service to the department, university, and profession. A candidate’s demonstrated experience in promoting diversity and inclusivity in the fields of statistics and data science will also be considered.