The University of Texas at Austin
Tenure-Track/Tenured Faculty Positions in Statistics and Data Sciences (2024-202
The University of Texas at Austin, Austin, Texas, us, 78716
Description
The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for tenured/tenure-track faculty positions starting in Fall 2025. Candidates with theoretical, computational, and application-driven research programs in all areas of statistics and machine learning will be considered. Applicants whose research programs broadly align with the themes of scientific machine learning and/or generative AI are especially encouraged to apply, as multiple SDS positions in these areas may be available through UT Austin's Cluster Hiring Program in AI and Data Analytics (AI DA). Candidates who are particularly well suited to the AI DA cluster hiring program will be given the option to be considered for this opportunity and may be asked to submit additional materials to the cluster hiring committee. Alternatively, applicants may directly apply to the AI DA Cluster Hiring Program searches involving SDS -- information on how to do so will be posted on the SDS website when this information is available.
SDS is the newest and fastest growing department in UT Austin's College of Natural Sciences. The department is internationally recognized for its excellence in research in statistical methodology and theory, machine learning, applied statistics, data science, and biostatistics. Its faculty have a strong commitment to providing high quality, innovative educational experiences in statistics and data science to undergraduate and graduate students from across the university, in addition to those enrolled in one of SDS's degree programs.
The department currently has 26 tenured/tenure track faculty, including 13 with appointments split between two departments. UT Austin is 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, the Center for Generative AI, 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 and university are committed to supporting the professional development of all members of the faculty. 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, including companies such as 3M, Amazon, AMD, Apple, Applied Materials, AT&T, Dell, Google, IBM, National Instruments, and Samsung. Much of Austin's lifestyle is driven by outdoor activities, media, and music.
Qualifications
Candidates should have a doctoral degree in statistics, biostatistics, machine learning, or a related discipline by August 2025.
Candidates for a tenure-track Assistant Professor position are evaluated based on their
potential
for developing an impactful research program and for becoming excellent in teaching, mentoring, and service.
Candidates for a tenured Associate or Full Professor position are expected to have established a strong and independent research program. In addition, a record for excellence in teaching, mentoring, and service is expected.
Application Instructions
Applicants should submit a cover letter, a CV, and separate statements summarizing the applicants's contributions and plans in the areas of research, teaching, and mentoring. As part of the application submission process, candidates will be asked to provide the names and email addresses of three individuals who are willing to 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. Candidates for tenured positions may decline to provide letters of support at the initial application stage. A link to a professional website where published papers, preprints, and software packages are available may be provided on the candidate's CV.
Review of applications will begin on or around November 14, 2024 and will continue until the positions are filled.
The department is committed to respecting the confidentiality 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 Alessandro Rinaldo and Professor Abhra Sarkar, SDS Faculty Search Committee Co-Chairs. Please send inquiries to statjobs@austin.utexas.edu instead of emailing the search committee chairs directly.
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.
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The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for tenured/tenure-track faculty positions starting in Fall 2025. Candidates with theoretical, computational, and application-driven research programs in all areas of statistics and machine learning will be considered. Applicants whose research programs broadly align with the themes of scientific machine learning and/or generative AI are especially encouraged to apply, as multiple SDS positions in these areas may be available through UT Austin's Cluster Hiring Program in AI and Data Analytics (AI DA). Candidates who are particularly well suited to the AI DA cluster hiring program will be given the option to be considered for this opportunity and may be asked to submit additional materials to the cluster hiring committee. Alternatively, applicants may directly apply to the AI DA Cluster Hiring Program searches involving SDS -- information on how to do so will be posted on the SDS website when this information is available.
SDS is the newest and fastest growing department in UT Austin's College of Natural Sciences. The department is internationally recognized for its excellence in research in statistical methodology and theory, machine learning, applied statistics, data science, and biostatistics. Its faculty have a strong commitment to providing high quality, innovative educational experiences in statistics and data science to undergraduate and graduate students from across the university, in addition to those enrolled in one of SDS's degree programs.
The department currently has 26 tenured/tenure track faculty, including 13 with appointments split between two departments. UT Austin is 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, the Center for Generative AI, 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 and university are committed to supporting the professional development of all members of the faculty. 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, including companies such as 3M, Amazon, AMD, Apple, Applied Materials, AT&T, Dell, Google, IBM, National Instruments, and Samsung. Much of Austin's lifestyle is driven by outdoor activities, media, and music.
Qualifications
Candidates should have a doctoral degree in statistics, biostatistics, machine learning, or a related discipline by August 2025.
Candidates for a tenure-track Assistant Professor position are evaluated based on their
potential
for developing an impactful research program and for becoming excellent in teaching, mentoring, and service.
Candidates for a tenured Associate or Full Professor position are expected to have established a strong and independent research program. In addition, a record for excellence in teaching, mentoring, and service is expected.
Application Instructions
Applicants should submit a cover letter, a CV, and separate statements summarizing the applicants's contributions and plans in the areas of research, teaching, and mentoring. As part of the application submission process, candidates will be asked to provide the names and email addresses of three individuals who are willing to 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. Candidates for tenured positions may decline to provide letters of support at the initial application stage. A link to a professional website where published papers, preprints, and software packages are available may be provided on the candidate's CV.
Review of applications will begin on or around November 14, 2024 and will continue until the positions are filled.
The department is committed to respecting the confidentiality 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 Alessandro Rinaldo and Professor Abhra Sarkar, SDS Faculty Search Committee Co-Chairs. Please send inquiries to statjobs@austin.utexas.edu instead of emailing the search committee chairs directly.
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.
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