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Postdoctoral Research Fellow, Department of Information, Risk, and Operations Management

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: University of Texas
Full Time position
Listed on 2026-10-09
Job specializations:
  • Research/Development
    Data Scientist, AI Business & Operations
  • IT/Tech
    Data Scientist, AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 59000 - 72000 USD Yearly USD 59000.00 72000.00 YEAR
Job Description & How to Apply Below

Job Posting

Title:

Postdoctoral Research Fellow, Department of Information, Risk, and Operations Management

Hiring Department:
Department of Information, Risk, and Operations Management

Position Open To:
All Applicants

Weekly Scheduled

Hours:

40

FLSA Status:
Exempt

Earliest

Start Date:

Immediately

Position Duration:
Expected to Continue Until Aug 31, 2027

Location:

UT MAIN CAMPUS

General Notes

Professor Maytal Saar-Tsechansky and the Department of Information, Risk, and Operations Management (IROM) in the McCombs School of Business at the University of Texas at Austin invites applications for a postdoctoral researcher position. The research is focused on a use-inspired Artificial Intelligence (AI) research agenda that addresses exciting challenges in developing AI systems and human-AI collaboration methods to reliably improve outcomes in health care and other high-impact contexts, benefiting people, organizations, and society  invite applications from varied relevant academic backgrounds, including Computer Science, Engineering, Statistics, and Data Science.

Successful candidates will have a Ph.D. in a relevant field of research, with a relevant record and interest in use-inspired AI, who are independent, and have an ability and interest to initiate and drive research projects and engage productively with an interdisciplinary team. Successful candidates will join a team of faculty and Ph.D. students, enjoy mentorship opportunities, gain unique access to and collaboration with professionals performing life-saving, high-stake decision-making, and join a vibrant AI research community at the University of Texas at Austin, become members of The University of Texas at Austin’s Machine Learning Laboratory (),

and contribute to The University of Texas’ at Austin’s Use-Inspired AI cluster, which serves as an interdisciplinary research platform for use-inspired AI research on the UT Austin campus. We seek candidates with a Ph.D. in a relevant field of research, with strong and relevant research record and interest in use-inspired AI research, demonstrated research independence, along with an ability and interest to serve in a central role within an interdisciplinary team.

About

Texas Mc Combs

Texas McCombs is a top business school at the center of one of the most innovative cities in the U.S. The McCombs community champions hands-on experiences alongside the ground-breaking research and thought-leadership of a world-class faculty. The collaborative spirit and enterprising drive of the Longhorn alumni network, one of the largest university networks in the world, is embedded in our culture, making us human-centered and future-focused in all our endeavors.

We are shaping those who will shape tomorrow, and solving challenging problems while remaining committed to creating a community that is dynamic, supportive, and challenging. What starts here really does change the world. For more information about the McCombs School of Business please visit https://(Use the "Apply for this Job" box below)./

Purpose

The position centers on use-inspired AI research at the frontier of productive, reliable, and clinically grounded decision support, developing AI systems and human-AI teaming methods that leverages opportunities and tackles constraints in real world contexts. In collaboration with a leading university-based medical center, the position offers access to high-stakes workflows, rich real-world data, and deployment pathways, enabling research that couples real deployment targets with core methodological innovation.

The goal is to produce broadly applicable advances that improve outcomes in healthcare and translate to broad organizational and societal settings beyond medicine.

Responsibilities

The position is in-person…

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