Postdoctoral Position at UT Austin
We have openings for postdoctoral positions in use-inspired AI research, offering opportunities to advance AI that strengthens human–AI teaming and decision-making. We seek researchers motivated to lead an impactful agenda at the frontier of productive, reliable, and grounded decision support.
The start date for the position can be immediate or anytime through August 2026.
This project is in collaboration with a leading university-based medical center. The postdoctoralresearcher will join an interdisciplinary team of faculty and PhD students across UT Austin, benefit from strong mentorship, and work closely with decision-makers through unique access to real-world settings. Successful candidates will also become part of UT Austin’s vibrant AI research community, with opportunities to engage in affiliated AI labs and institutes.
Ideal candidates hold a PhD in a relevant field (e.g., Computer Science, Engineering, Data Science or related areas), have a track record and interest in use-inspired AI research, and bring the independence and initiative to start and drive projects while collaborating effectively in an interdisciplinary environment.
How to Apply?
Please use this link to applyhttps://utaustin.wd1.myworkdayjobs.com/UTstaff/job/UT-MAIN-CAMPUS/Postdoctoral-Research-Fellow--Department-of-Information--Risk--and-Operations-Management_R_00044413. Required materials to apply:
* A statement of research, including accomplishments (1-2 pages) * 2 representative publications * Contact information for 3 individuals who can provide a letter of reference
Feel free to reach out to me with questions at m****l@mail.utexas.edumailto:m****l@mail.utexas.edu.
- Maytal Saar-Tsechansky.
Maytal Saar-Tsechansky (she/her/hers) | Mary John and Ralph Spence Centennial Professor
Information, Risk, and Operations Management | The
Maytal Saar-Tsechansky (she/her/hers) | Mary John and Ralph Spence Centennial Professor
Information, Risk, and Operations Management | The McCombs School of Business | The University of Texas at Austin
Affiliated: The Joe R. and Teresa Lozano Long School of Medicine, Transplant Center, The University of Texas Science Center at San Antonio
The Oden https://oden.utexas.edu/ Institutehttps://oden.utexas.edu/
Machine Learning Labhttps://ml.utexas.edu/, Scientific Advisory Board Member
Personal webpage: maytals.comhttps://www.maytals.com/
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