Multiple Faculty Positions in Statistics and Data Sciences, University of Texas at Austin

The International Society for Bayesian Analysis; Austin (TX); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Access to world-class computing resources

Support for professional development

Collaborative research opportunities

Job summary

The University of Texas at Austin invites applications for multiple faculty positions in Statistics and Data Sciences, including tenured, tenure-track, and professional track roles. Successful candidates will lead research initiatives and provide high-quality educational experiences in a rapidly growing department recognized for excellence in research and education.

Qualifications

• Doctoral degree required by August 2024.
• Evidence of impactful research program and teaching excellence.
• Preferred previous teaching experience for professional track candidates.

Responsibilities

• Develop and lead a research program in statistical methodology and theory.
• Provide high-quality educational experiences in statistics and data sciences.
• Contribute to department's growth and prioritize mentorship.

Skills

Research Program Development

Teaching Excellence

Mentoring

Service

Education

Doctoral Degree in Statistics, Biostatistics, or Data Science

Job description

Multiple Faculty Positions in Statistics and Data Sciences, University of Texas at Austin

Oct 2, 2023

Multiple Tenured/Tenure-Track and Professional Track Faculty Positions in Statistics and Data Sciences (2024)

The University of Texas at Austin: College of Natural Sciences: Department of Statistics and Data Sciences

Location
Austin, TX

Open Date
September 27, 2023

Deadline
November 8, 2023 at 11:59 PM Eastern Time (Tenured/Tenure-Track Positions) January 12, 2024 at 11:59 PM Eastern Time (Professional Track Positions)

Description
The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for faculty positions starting in Fall 2024, including multiple tenured/tenure-track Assistant/Associate Professor positions and Assistant/Associate/Full Professor of Instruction (non tenure-track) positions. SDS is the newest and fastest growing department in the College of Natural Sciences. The department is internationally recognized for its excellence in research in statistical methodology and theory, applied statistics, data science, biostatistics, and machine learning. 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 degree programs.

The department currently has 25 tenured/tenure track faculty and 8 professional track faculty members. It 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. While the professional track faculty positions are not eligible for tenure, we hire with the intent that new instructional faculty will become a lasting part of our community. The department is committed to supporting the professional development of all members of the faculty.
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.
More information about the department is here.

Qualifications
Candidates should have a doctoral degree in statistics, biostatistics, data science, or a related discipline by August 2024

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 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.

While not required, candidates for professional track positions with previous teaching experience and/or professional experience as a statistician, biostatistician, or data scientist are preferred.

Application Instructions
Applicants should submit a cover letter, a CV, a statement of research interests (only required for tenured/tenure-track positions), and a teaching statement. 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. 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 for the tenured/tenure-track Assistant/Associate Professor position will begin on November 8, 2023 and continue until the positions are filled.

Applications for the Assistant/Associate/Full Professor position will be reviewed on an ongoing basis, but priority will be given to applications received on or before January 12, 2024.

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 Purna Sarkar, SDS Tenured/Tenure-Track Faculty Search Committee Chair, or Professor Layla Parast, SDS Professional-Track Faculty Search Committee Chair. Please send inquiries to [e-mail] instead of emailing the search committee chairs directly.

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.