Open Positions

Faculty Positions 

Professional (Teaching) Track Faculty 

The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for Assistant/Associate/Full Professor of Instruction (non tenure-track) faculty positions to begin in Fall 2025.  Candidates should have a doctoral degree in statistics, biostatistics, data science, or a related discipline by August 2025. Further details about the position and instructions for submitting an application are available here. 

Applications will be reviewed on an ongoing basis, but priority will be given to applications received on or before February 24, 2025.

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 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. 

• To apply for a Teaching Assistant position, please fill out this survey.

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.