Phase2 Technology
Tenure-Track/Tenured Faculty Positions in Statistics and Data Sciences, Fall 202
Phase2 Technology, Austin, Texas, us, 78716
Overview
The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for tenured or tenure-track faculty positions to begin in August 2026. We welcome applicants at any rank with research interests in any area of statistics and data science, whether theoretical, computational, or application-driven. We strongly encourage applications from candidates who work in scientific machine learning, the mathematical and statistical foundations of machine learning, high-dimensional statistical theory, or AI for science, because multiple positions in these areas may be available through various college and university-level initiatives. The SDS is the newest and fastest growing department in UT Austin's College of Natural Sciences. The department is internationally recognized for excellence in statistical methodology and theory, machine learning, applied statistics, data science, and biostatistics. Its faculty are committed to providing high-quality, innovative educational experiences to undergraduate and graduate students across the university, including those enrolled in SDS degree programs. The department currently has 26 tenured/tenure-track faculty, including 9 joint faculty with primary appointments in other departments. UT Austin offers interdisciplinary research opportunities across campus, with collaborations across the Dell Medical School, the Oden Institute, the Population Research Center, the Machine Learning Laboratory, the Center for Generative AI, and many other research entities. A partnership with the Texas Advanced Computing Center (TACC) provides access to computing resources. The teaching load for tenured/tenure-track faculty in SDS is two courses per year. Austin, the capital of Texas, is a center for high-technology industry with many major companies and a lifestyle centered on outdoor activities, media, and music. More information about the department is available here. Qualifications
Candidates should have a doctoral degree in statistics, biostatistics, computer science, machine learning, applied mathematics, or a related discipline by August 2026. Candidates for a tenure-track Assistant Professor position are evaluated on potential for developing an impactful research program and excellence in teaching, mentoring, and service. Candidates for a tenured Associate or Full Professor position are expected to have an established, strong, independent research program and a record of excellence in teaching, mentoring, and service. Application Instructions
Applicants should submit a cover letter, a CV, and separate statements summarizing the applicant’s contributions and plans in research, teaching, and mentoring. As part of the submission process, candidates will provide the names and email addresses of three referees who can supply letters of support via Interfolio. For applicants currently in graduate school, at least two letters should be from faculty members at the candidate's graduate institution. Tenured applicants may decline to provide letters of support at the initial application stage. A link to a professional website with published papers, preprints, and software packages may be provided on the candidate’s CV. Review of applications will begin on or around November 13, 2025 and will continue until the positions are filled. The department is committed to confidentiality in the search process. A background check will be conducted on applicants selected for the positions. Questions about the search process should be directed to statjobs@austin.utexas.edu, for the attention of Prof. Alessandro Rinaldo, SDS Faculty 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 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.
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The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for tenured or tenure-track faculty positions to begin in August 2026. We welcome applicants at any rank with research interests in any area of statistics and data science, whether theoretical, computational, or application-driven. We strongly encourage applications from candidates who work in scientific machine learning, the mathematical and statistical foundations of machine learning, high-dimensional statistical theory, or AI for science, because multiple positions in these areas may be available through various college and university-level initiatives. The SDS is the newest and fastest growing department in UT Austin's College of Natural Sciences. The department is internationally recognized for excellence in statistical methodology and theory, machine learning, applied statistics, data science, and biostatistics. Its faculty are committed to providing high-quality, innovative educational experiences to undergraduate and graduate students across the university, including those enrolled in SDS degree programs. The department currently has 26 tenured/tenure-track faculty, including 9 joint faculty with primary appointments in other departments. UT Austin offers interdisciplinary research opportunities across campus, with collaborations across the Dell Medical School, the Oden Institute, the Population Research Center, the Machine Learning Laboratory, the Center for Generative AI, and many other research entities. A partnership with the Texas Advanced Computing Center (TACC) provides access to computing resources. The teaching load for tenured/tenure-track faculty in SDS is two courses per year. Austin, the capital of Texas, is a center for high-technology industry with many major companies and a lifestyle centered on outdoor activities, media, and music. More information about the department is available here. Qualifications
Candidates should have a doctoral degree in statistics, biostatistics, computer science, machine learning, applied mathematics, or a related discipline by August 2026. Candidates for a tenure-track Assistant Professor position are evaluated on potential for developing an impactful research program and excellence in teaching, mentoring, and service. Candidates for a tenured Associate or Full Professor position are expected to have an established, strong, independent research program and a record of excellence in teaching, mentoring, and service. Application Instructions
Applicants should submit a cover letter, a CV, and separate statements summarizing the applicant’s contributions and plans in research, teaching, and mentoring. As part of the submission process, candidates will provide the names and email addresses of three referees who can supply letters of support via Interfolio. For applicants currently in graduate school, at least two letters should be from faculty members at the candidate's graduate institution. Tenured applicants may decline to provide letters of support at the initial application stage. A link to a professional website with published papers, preprints, and software packages may be provided on the candidate’s CV. Review of applications will begin on or around November 13, 2025 and will continue until the positions are filled. The department is committed to confidentiality in the search process. A background check will be conducted on applicants selected for the positions. Questions about the search process should be directed to statjobs@austin.utexas.edu, for the attention of Prof. Alessandro Rinaldo, SDS Faculty 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 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.
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