FACULTY POSITIONS IN STATISTICS AND DATA SCIENCES AT THE UNIVERSITY OF TEXAS AT AUSTIN

FACULTY POSITIONS IN STATISTICS AND DATA SCIENCES AT THE UNIVERSITY OF TEXAS AT AUSTIN Sep 29, 2021 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 2022, subject to the availability of funding. In addition, the department, in collaboration with the College of Natural Sciences, will consider applications for candidates at all levels (Assistant, Associate, and full Professor) who are committed to building a diverse and inclusive educational environment and have demonstrated a commitment to improving the diversity, equity, and inclusivity of their academic communities. The department views inclusiveness and excellence as interconnected in the work of its faculty. 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. The Department of Statistics and Data Sciences currently has 21 tenured and tenure-track faculty with research programs that span statistics, biostatistics, and machine learning. 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 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. Qualifications 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 their ability to demonstrate a serious interest in teaching, mentoring, and service. Candidates for a tenured position are expected to have an internationally-recognized research program and to have demonstrated a strong commitment to excellence in teaching, mentoring, and service. In addition, candidates for a tenured position must provide evidence of their commitment to improving the diversity, equity, and inclusivity of their academic communities. Application Instructions Applicants should submit a cover letter, a CV, a statement of research interests, a teaching statement, and a statement on candidate’s contributions to diversity. In addition, applicants for tenure-track positions should arrange for three letters of support to be provided under separate cover. Applicants should not submit any supplemental material. However, applicants’ CVs should include links to a web site (or sites) where all papers and software packages listed on the CV can be downloaded. The deadline for applications for tenure-track positions is November 30, 2021. The department is committed to respecting the confidentiality of the search process. Due to the COVID19 pandemic, travel to Austin may not be required as part of the search process. A background check will be conducted on applicants selected for the positions. Questions about the search process should be directed to Professor Sinead Williamson (View email address on click.appcast.io), SDS Faculty Search Committee Chair. Application Process This institution is using Interfolio’s Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge. 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 The International Society for Bayesian Analysis