Postdoctoral Researcher Jobs at The University of Texas at Austin with Visa Sponsorship
Postdoctoral Researcher roles at The University of Texas at Austin span disciplines from biomedical sciences to engineering and social policy, offering researchers access to world-class facilities and faculty collaborators. UT Austin has a well-established international hiring process and actively sponsors work visas across multiple categories for postdoctoral talent.
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Get Access To All JobsJob 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
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, 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 leverage opportunities and tackle 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 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
- 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
- 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.
- Ph.D. in an applicable field earned within the last 3 years.
Preferred Qualifications
- Interest and prior record in LLMs Human-AI collaboration for decision-making.
- Demonstrated research independence, an ability and interest to work collaboratively with an interdisciplinary research team.
Salary Range
- $65,000
Working Conditions
- This is a grant-funded position and reassignment will be based on performance, progress toward research goals and continuation of funding.
- This position is in-person in Austin, TX at the University of Texas at Austin.
- 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 hrstaff@mccombs.utexas.edu.
Required Materials
- CV
- A statement of research, including accomplishments (up to 2 pages)
- 2 representative publications
- 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 (c) 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.
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:
- E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
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.
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
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, 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 leverage opportunities and tackle 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 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
- 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
- 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.
- Ph.D. in an applicable field earned within the last 3 years.
Preferred Qualifications
- Interest and prior record in LLMs Human-AI collaboration for decision-making.
- Demonstrated research independence, an ability and interest to work collaboratively with an interdisciplinary research team.
Salary Range
- $65,000
Working Conditions
- This is a grant-funded position and reassignment will be based on performance, progress toward research goals and continuation of funding.
- This position is in-person in Austin, TX at the University of Texas at Austin.
- 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 hrstaff@mccombs.utexas.edu.
Required Materials
- CV
- A statement of research, including accomplishments (up to 2 pages)
- 2 representative publications
- 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 (c) 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.
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:
- E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
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.
See all 33+ Postdoctoral Researcher at The University of Texas at Austin jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Postdoctoral Researcher at The University of Texas at Austin roles.
Get Access To All JobsTips for Finding Postdoctoral Researcher Jobs at The University of Texas at Austin Jobs
Align your credentials with UT Austin's specialty occupation standards
UT Austin's international services office evaluates postdoctoral appointments against H-1B specialty occupation criteria. Get your doctoral transcripts officially translated and evaluated before applying, since degree equivalency reviews add weeks to the petition timeline.
Target departments with active international postdoc pipelines
Some UT Austin departments, particularly in STEM fields like Biomedical Engineering and Computational Sciences, hire international postdocs far more regularly than humanities units. Review recent faculty lab pages and publications for co-author affiliations to spot departments already comfortable with visa sponsorship.
Clarify sponsorship intent during the offer negotiation stage
UT Austin's HR and International Student and Scholar Services handle sponsorship separately. Confirm in writing during the offer stage which visa category the department intends to file, since some units default to OPT extensions before initiating H-1B or E-3 petitions.
Use Migrate Mate to identify open postdoctoral roles sponsoring your visa type
Not every UT Austin postdoctoral posting explicitly lists visa sponsorship. Use Migrate Mate to filter open Postdoctoral Researcher positions at UT Austin by the visa categories you're eligible for, so you're targeting roles with a confirmed sponsorship track record.
Account for the H-1B cap exemption in your timing strategy
As a nonprofit research university, UT Austin is cap-exempt for H-1B purposes, meaning petitions can be filed at any point in the year with no lottery. This removes the April registration deadline pressure that affects most employer-sponsored H-1B filings and gives you more flexibility when negotiating a start date.
Prepare for PERM labor market requirements if targeting a Green Card pathway
If your postdoc leads to an EB-2 or EB-3 Green Card, UT Austin must complete a DOL PERM process showing no qualified U.S. workers were available. Postdoctoral appointments are often temporary by design, so clarify early whether the department has a tenure-track or permanent position that would support a full PERM filing.
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Find Postdoctoral Researcher at The University of Texas at Austin JobsFrequently Asked Questions
Does The University of Texas at Austin sponsor H-1B visas for Postdoctoral Researchers?
Yes. UT Austin sponsors H-1B visas for Postdoctoral Researchers and qualifies as a cap-exempt institution, meaning it can file H-1B petitions year-round without going through the annual lottery. The university's International Student and Scholar Services office manages the petition process in coordination with the hiring department and USCIS.
How do I apply for Postdoctoral Researcher jobs at The University of Texas at Austin?
Applications go through UT Austin's official careers portal, where postdoctoral positions are posted by individual departments and research labs. You can also browse open Postdoctoral Researcher roles at UT Austin filtered by visa sponsorship eligibility on Migrate Mate. Most postings require a CV, research statement, and two or three letters of recommendation from doctoral supervisors or collaborators.
Which visa types does UT Austin commonly use for Postdoctoral Researchers?
UT Austin regularly sponsors H-1B, E-3, TN, and J-1 visas for postdoctoral roles, and supports F-1 OPT and CPT for researchers still within their degree-based work authorization window. The appropriate category depends on your nationality, degree status, and the duration of the appointment. Australian citizens are often funneled toward the E-3, which has no lottery and is administratively simpler for the university.
What qualifications are expected for Postdoctoral Researcher roles at UT Austin?
A completed doctoral degree in a relevant field is required, and most departments expect your PhD to have been awarded within the past five years. Strong publication records, lab-specific technical skills, and alignment with the supervising faculty member's active research agenda carry significant weight. Some competitive labs also expect prior postdoctoral experience or external fellowship funding.
How long does the visa sponsorship process take for a UT Austin postdoctoral appointment?
For H-1B and E-3 petitions, plan for six to twelve weeks from offer acceptance to USCIS or consular approval, not counting any time needed for degree credential evaluation. J-1 processing through UT Austin is often faster, sometimes two to four weeks once the DS-2019 is issued, but that visa type restricts certain employment changes later. Starting the process immediately after receiving your offer letter avoids delays to your start date.
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