Research Fellow Jobs at The University of Texas at Austin with Visa Sponsorship
Research Fellow roles at The University of Texas at Austin span a wide range of disciplines, from STEM and public policy to social sciences and the arts. UT Austin has a well-established international hiring process and actively supports visa sponsorship for qualified researchers at this level.
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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 31+ Research Fellow 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 Research Fellow at The University of Texas at Austin roles.
Get Access To All JobsTips for Finding Research Fellow Jobs at The University of Texas at Austin Jobs
Align your credentials with UT Austin's research priorities
UT Austin Research Fellow postings are tied to specific faculty grants and departmental initiatives. Review the principal investigator's recent publications and funded projects before applying so your CV reflects directly relevant expertise, not just broad field experience.
Understand how cap-exempt status affects your timeline
As a nonprofit research university, UT Austin qualifies for H-1B cap exemption, meaning petitions can be filed any time of year. You're not locked into the April lottery window, which removes one of the biggest timing constraints researchers face.
Protect your status during the offer-to-filing gap
The gap between receiving a Research Fellow offer and USCIS approving your H-1B can run several months. If you're on OPT, confirm your OPT end date against the expected I-129 filing date so you're not left without valid work authorization mid-onboarding.
Map open Research Fellow roles using Migrate Mate
UT Austin posts Research Fellow openings across multiple departments and hiring cycles. Use Migrate Mate to filter active roles by visa type so you're targeting positions where H-1B, E-3, or TN sponsorship is already confirmed, not assumed.
Prepare your PERM documentation if permanent residency is a goal
UT Austin has sponsored EB-2 and EB-3 green cards for research staff before. If long-term residency matters to you, raise it early in negotiations. The PERM labor certification process through DOL is time-sensitive and must begin well before your H-1B status expires.
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Find Research Fellow at The University of Texas at Austin JobsFrequently Asked Questions
Does The University of Texas at Austin sponsor H-1B visas for Research Fellows?
Yes. UT Austin sponsors H-1B visas for Research Fellow positions and, as a nonprofit research university, qualifies for cap-exempt status with USCIS. This means petitions can be filed year-round without waiting for the annual April lottery. The sponsoring department initiates the process through UT Austin's International Office, which manages the I-129 petition and works directly with USCIS on your behalf.
Which visa types are commonly used for Research Fellow roles at The University of Texas at Austin?
H-1B is the most common pathway for Research Fellow hires at UT Austin, particularly for roles requiring a specific academic or technical background. E-3 visas are available for Australian citizens in qualifying specialty occupations. TN status is an option for Canadian and Mexican nationals in eligible research classifications. F-1 OPT and CPT are used for students transitioning into research roles before completing their degree program.
What qualifications or experience are expected for Research Fellow positions at The University of Texas at Austin?
Most Research Fellow roles at UT Austin require at minimum a doctoral degree in a relevant discipline, though some postdoctoral positions specify a recently conferred PhD within a set number of years. Strong publication records, demonstrated grant experience, and alignment with the sponsoring faculty member's active research agenda are typically weighted heavily. Interdisciplinary backgrounds can be competitive depending on the department.
How do I apply for Research Fellow jobs at The University of Texas at Austin?
Applications are submitted through UT Austin's internal careers portal, and individual postings often require a CV, cover letter, research statement, and references tailored to the specific project or lab. To find Research Fellow openings at UT Austin that include visa sponsorship, you can browse and filter available roles on Migrate Mate, which surfaces positions where sponsorship has been confirmed for your visa category.
How do I plan my timeline if I'm waiting on visa sponsorship before starting a Research Fellow role?
If you're transitioning from OPT to H-1B, the filing window matters significantly. UT Austin's cap-exempt status removes lottery timing pressure, but standard USCIS adjudication for an I-129 can take several months. Premium processing through USCIS reduces that window to 15 business days. Build your start date negotiation around the expected approval timeline, not the offer date, and confirm that UT Austin's International Office has received all required documentation before your current status expires.
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