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The University of Texas at Austin

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

Salary$65k
LocationUT MAIN CAMPUS
Work modeon-site
Typefull-time
SeniorityEntry
ExperienceUp to 3 yrs
DepartmentDepartment of Information, Risk, and Operations Management
Company size10,000+ people
First seenOct 7, 2026 · 4d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have4
Ph.D research that is relevant to use-inspired AI
Interest in human-AI collaboration including in the context of LLMs
Knowledge in and research experience with LLMs
Ph.D in an applicable field earned within the last 3 years
Nice to have3
Interest and prior record in LLMs Human-AI collaboration for decision-making
Demonstrated research independence
Ability and interest to work collaboratively with an interdisciplinary research team
Skills
LLMs
Artificial Intelligence
Job Posting Title:
Postdoctoral Research Fellow, Department of Information, Risk, and Operations Management
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Hiring Department:
Department of Information, Risk, and Operations Management
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue Until Aug 31, 2027
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Location:
UT MAIN CAMPUS
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Job Details:
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 at large.
We 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 (https://ml.utexas.edu/) , 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 McCombs
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://www.mccombs.utexas.edu/
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 .
This postdoctoral research fellow position is a grant-funded with an initial employment period of one year. Reassignment will be based on performance, progress toward research goals and continuation of funding. The position can start as early as Spring, Summer, or Fall 2026.
Responsibilities
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The position is in-person in Austin Texas. The postdoctoral researcher will be a key member of the research team, responsible for driving, coordinating, and conducting research, and will have opportunities to initiate research and mentor Ph.D. students.
Required Qualifications
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Ph.D research that is relevant to use-inspired AI, interest in human-AI collaboration including in the context of LLMs, and knowledge in and research experience with LLMs.
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Ph.D in an applicable field earned within the last 3 years.
Preferred Qualifications
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Interest and prior record in LLMs Human-AI collaboration for decision-making.
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Demonstrated research independence, an ability and interest to work collaboratively with an interdisciplinary research team.
Salary Range
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$65,000
Working Conditions
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This is a grant-funded position and reassignment will be based on performance, progress toward research goals and continuation of funding.
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This position is in-person in Austin, TX at the University of Texas at Austin.
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Standard office conditions and repetitive use of a keyboard
For any questions related to employment eligibility and visa sponsorship, please e-mail the McCombs HR team at [email protected].
Required Materials
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CV
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A statement of research, including accomplishments (up to 2 pages)
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2 representative publications
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Contact information for 3 individuals who can provide a letter of reference; at least two references should be from a direct supervisor or a senior collaborator.
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
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.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or © consistent with the contractor’s legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
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E-Verify Poster (English and Spanish) [PDF]
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Right to Work Poster (English) [PDF]
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Right to Work Poster (Spanish) [PDF]
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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
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