Open Positions

Faculty Positions 

Tenure-Track and Tenured Faculty 

The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin is seeking applications for tenured/tenure-track faculty positions to begin in Fall 2025.  Candidates with theoretical, computational, and application-driven research programs in all areas of statistics and machine learning will be considered. Further details about the positions can be found here.

Postdoctoral Fellowship Positions 

Postdoctoral fellows in the Department of Statistics and Data Sciences are recent graduates of Ph.D. programs who do research in statistics, data science and related fields under the mentorship of one or more of our faculty members. Typically, fellows are appointed for a period of 1-2 years.

• Postdoctoral fellowship in AI with a focus on Explainable and Interpretable AI (XAI) methods with the newly established NSF-Simons CosmicAI Institute. The Fellow will work closely with Assistant Professor Arya Farahi and Professor Alessandro Rinaldo. The Fellow will play a key role in advancing research efforts aimed at creating innovative AI techniques, with a particular focus on causal inference with AI and symbolic modeling tailored for complex data analysis in astronomy. Qualifications: PhD in Statistics, AI, Machine Learning, Computer Science, or a related field is required; proven expertise in Explainable AI (XAI), causal inference, symbolic modeling, or related areas; experience with large-scale data analysis and proficiency in programming languages commonly used in AI research (e.g., Python, TensorFlow, PyTorch, JAX). More information on the responsibilities and qualifications of this postdoctoral fellowship and application instructions are available here. Applications are due December 15, 2024. 
• Postdoctoral fellowship in surrogate marker methods development with Associate Professor Layla Parast.  The fellow will have the opportunity to develop and apply statistical methods for identifying and using surrogate markers in diabetes research.  Qualifications:  PhD in Statistics/Biostatistics or similar field is required; prior research experience in survival analysis, causal inference, and nonparametric methods is preferred.  Applications will be accepted until the position is filled.  Potential candidates should send a copy of their CV to parast@austin.utexas.edu.  More information is available here.
• Postdoctoral fellowship in Data Science with Professor Roger Peng. This position provides candidates with the opportunity to conduct research in the theory of data analytic practice and to expand the training of data analysis to large audiences. Qualifications: PhD in statistics, biostatistics, computer science, genomics, bioinformatics, or related data intensive field; experience teaching hands-on data analysis skills in R required. Applications will be accepted until the position is filled.  Applicants should submit (1) a cover letter including a brief description of an experience teaching data analysis or any other relevant curriculum; (2) a CV and; (3) a link to their GitHub profile, if available, to roger.peng@austin.utexas.edu. Further details about this position can be found here.

Graduate Student Positions 

Teaching Assistant 

The Department of Statistics and Data Sciences regularly hires The University of Texas at Austin graduate students to serve as teaching assistants for our undergraduate courses. Applicants for these positions should have a strong background in statistics and/or data science. 

• There are no open positions at this time.

Undergraduate Student Positions

Undergraduate Course Assistants

The Department of Statistics and Data Sciences regularly hires The University of Texas at Austin undergraduate students who have completed specific courses to serve as an undergraduate teaching assistant for the course.  In addition, the department employs undergraduate student assistants to support the main office operations.

• There are no open positions at this time.