TN Visa AI Research Scientist Jobs
AI Research Scientist roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, provided your work centers on applied or foundational AI research tied to a bachelor's degree or higher in computer science, engineering, or a related field. No lottery, no cap for Canadians, and no annual filing window to wait on.
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Get Access To All JobsOpen-Rank Faculty Position in Foundational Artificial Intelligence
Tenure-Track or Tenured Faculty Opening in the
George R. Brown School of Engineering and Computing at Rice University
Position Description
The George R. Brown School of Engineering and Computing at Rice University in Houston, Texas, invites applications for one open-rank faculty position in foundational artificial intelligence. The appointment may be made at the tenure-track Assistant Professor level or at the tenured Associate Professor or Full Professor level, commensurate with the candidate’s qualifications and experience, with an anticipated start date of July 1, 2027.
We seek candidates who advance the statistical, mathematical, computational, or algorithmic foundations of artificial intelligence (AI) and scientific machine learning. Applicants are encouraged to articulate their own vision of how their research agenda will shape the future of foundational AI, whether by building on established areas or opening new directions. Outstanding candidates whose work advances foundational AI in other areas are also encouraged to apply.
Successful candidates will demonstrate deep, original contributions to AI scholarship and the potential to shape the future of the field. Rice seeks faculty who embrace a culture of excellence, innovation, collaboration, responsible technological development, and inclusive mentorship. Excellence in research and teaching will be the primary criteria for evaluation.
Responsibilities
The selected candidate will be expected to establish or maintain a vigorous, externally funded research program with national and international recognition; conduct innovative research and disseminate results through high-impact publications, conferences, and other scholarly activities; and teach undergraduate and graduate courses aligned with their expertise. Additional responsibilities include advising and mentoring undergraduate, graduate, and postdoctoral researchers; contributing to departmental, school, university, and professional service; and fostering interdisciplinary collaborations within Rice and with external partners. The successful candidate will demonstrate a strong commitment to excellence in teaching, advising, and mentoring students from a broad range of backgrounds and experiences and will contribute to the continued strength of undergraduate and graduate education across the department and the George R. Brown School of Engineering and Computing. Rice’s highly collaborative environment provides opportunities to engage with researchers in materials science, computational science, energy, advanced manufacturing, biomedical engineering, and other disciplines.
We welcome the fullness of diversity at Rice. Qualified applicants are considered without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. In our candidate pools, we seek to increase the representation of women, scholars of color, people with disabilities, veterans, and others who have historically been underrepresented in engineering, computing, and the statistical sciences; attract scholars and students from a wide range of countries, backgrounds, and experiences; accelerate progress toward building a faculty and staff community with diverse perspectives and expertise; and maintain an environment that fosters interaction, understanding, and belonging throughout our community.
About the School of Engineering and Computing’s AI Initiative
The School’s Vision 2030 strategic plan identifies three research thrusts: Health and Well-being, Sustainability and Resilience, and Computing and AI. Consistent with that broader vision, Rice Engineering and Computing is undertaking a multi-year faculty hiring initiative in artificial intelligence. For the 2026–27 hiring cycle, the School is recruiting for three positions: one open-rank position in Foundational AI and two Assistant Professor positions in AI for Sustainability and Resilience. The initiative prioritizes deep, technically rigorous AI scholarship, interdisciplinary collaboration, responsible technological development, and research with the potential for significant scientific and societal impact.
Within this initiative, the Foundational AI search falls within the Computing and AI thrust and prioritizes core techniques, theoretical foundations, and methodological breakthroughs in AI. It supports the School’s goals of reimagining computing and AI foundations; advancing collaborative, intelligent, and resilient autonomous systems; and designing trustworthy, explainable, and human-centered technologies.
Candidates applying through this posting will be considered for a potential primary appointment in Statistics, Computer Science, or Electrical and Computer Engineering. Candidates whose work aligns with more than one participating department may be considered across multiple departmental applicant pools, and joint or affiliated appointments may also be considered.
About Rice University
Rice University is a private, comprehensive research university located on a 300-acre, tree-lined campus in Houston, Texas, adjacent to the Texas Medical Center. Rice serves nearly 9,200 undergraduate and graduate students and is distinguished by research excellence, a collaborative culture, and close engagement between students and faculty.
Houston’s leadership in energy, health care, aerospace, manufacturing, and data-intensive industries creates exceptional opportunities for external partnerships and research impact.
Candidates should demonstrate excellence in research and scholarship appropriate to rank, a commitment to excellence in undergraduate and graduate teaching, the potential to establish or sustain a highly impactful, externally funded research program, and a commitment to mentoring students and contributing to a collaborative academic community. Candidates for appointment at the Associate Professor or Full Professor level should have a distinguished record of scholarly achievement, sustained research impact, and national or international recognition in their field.
Qualifications
Applicants must hold a Ph.D. in statistics, electrical engineering, computing, or a closely related field by the time of appointment.
Application Instructions
For full consideration, applications are encouraged to be received by December 1, 2026. Review of applications will continue until the position is filled.
Applicants must submit the following materials through Interfolio:
-
Curriculum vitae
-
Research statement, up to five pages
-
Statement of teaching philosophy, up to two pages
-
Names and contact information for three to five professional references. Letters of reference will be requested only if the candidate advances to the interview stage.
Applicants will also be asked in Interfolio to indicate their first and second preferred home departments from the following eligible options: Statistics, Computer Science, and Electrical and Computer Engineering.
Open-Rank Faculty Position in Foundational Artificial Intelligence
Tenure-Track or Tenured Faculty Opening in the
George R. Brown School of Engineering and Computing at Rice University
Position Description
The George R. Brown School of Engineering and Computing at Rice University in Houston, Texas, invites applications for one open-rank faculty position in foundational artificial intelligence. The appointment may be made at the tenure-track Assistant Professor level or at the tenured Associate Professor or Full Professor level, commensurate with the candidate’s qualifications and experience, with an anticipated start date of July 1, 2027.
We seek candidates who advance the statistical, mathematical, computational, or algorithmic foundations of artificial intelligence (AI) and scientific machine learning. Applicants are encouraged to articulate their own vision of how their research agenda will shape the future of foundational AI, whether by building on established areas or opening new directions. Outstanding candidates whose work advances foundational AI in other areas are also encouraged to apply.
Successful candidates will demonstrate deep, original contributions to AI scholarship and the potential to shape the future of the field. Rice seeks faculty who embrace a culture of excellence, innovation, collaboration, responsible technological development, and inclusive mentorship. Excellence in research and teaching will be the primary criteria for evaluation.
Responsibilities
The selected candidate will be expected to establish or maintain a vigorous, externally funded research program with national and international recognition; conduct innovative research and disseminate results through high-impact publications, conferences, and other scholarly activities; and teach undergraduate and graduate courses aligned with their expertise. Additional responsibilities include advising and mentoring undergraduate, graduate, and postdoctoral researchers; contributing to departmental, school, university, and professional service; and fostering interdisciplinary collaborations within Rice and with external partners. The successful candidate will demonstrate a strong commitment to excellence in teaching, advising, and mentoring students from a broad range of backgrounds and experiences and will contribute to the continued strength of undergraduate and graduate education across the department and the George R. Brown School of Engineering and Computing. Rice’s highly collaborative environment provides opportunities to engage with researchers in materials science, computational science, energy, advanced manufacturing, biomedical engineering, and other disciplines.
We welcome the fullness of diversity at Rice. Qualified applicants are considered without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. In our candidate pools, we seek to increase the representation of women, scholars of color, people with disabilities, veterans, and others who have historically been underrepresented in engineering, computing, and the statistical sciences; attract scholars and students from a wide range of countries, backgrounds, and experiences; accelerate progress toward building a faculty and staff community with diverse perspectives and expertise; and maintain an environment that fosters interaction, understanding, and belonging throughout our community.
About the School of Engineering and Computing’s AI Initiative
The School’s Vision 2030 strategic plan identifies three research thrusts: Health and Well-being, Sustainability and Resilience, and Computing and AI. Consistent with that broader vision, Rice Engineering and Computing is undertaking a multi-year faculty hiring initiative in artificial intelligence. For the 2026–27 hiring cycle, the School is recruiting for three positions: one open-rank position in Foundational AI and two Assistant Professor positions in AI for Sustainability and Resilience. The initiative prioritizes deep, technically rigorous AI scholarship, interdisciplinary collaboration, responsible technological development, and research with the potential for significant scientific and societal impact.
Within this initiative, the Foundational AI search falls within the Computing and AI thrust and prioritizes core techniques, theoretical foundations, and methodological breakthroughs in AI. It supports the School’s goals of reimagining computing and AI foundations; advancing collaborative, intelligent, and resilient autonomous systems; and designing trustworthy, explainable, and human-centered technologies.
Candidates applying through this posting will be considered for a potential primary appointment in Statistics, Computer Science, or Electrical and Computer Engineering. Candidates whose work aligns with more than one participating department may be considered across multiple departmental applicant pools, and joint or affiliated appointments may also be considered.
About Rice University
Rice University is a private, comprehensive research university located on a 300-acre, tree-lined campus in Houston, Texas, adjacent to the Texas Medical Center. Rice serves nearly 9,200 undergraduate and graduate students and is distinguished by research excellence, a collaborative culture, and close engagement between students and faculty.
Houston’s leadership in energy, health care, aerospace, manufacturing, and data-intensive industries creates exceptional opportunities for external partnerships and research impact.
Candidates should demonstrate excellence in research and scholarship appropriate to rank, a commitment to excellence in undergraduate and graduate teaching, the potential to establish or sustain a highly impactful, externally funded research program, and a commitment to mentoring students and contributing to a collaborative academic community. Candidates for appointment at the Associate Professor or Full Professor level should have a distinguished record of scholarly achievement, sustained research impact, and national or international recognition in their field.
Qualifications
Applicants must hold a Ph.D. in statistics, electrical engineering, computing, or a closely related field by the time of appointment.
Application Instructions
For full consideration, applications are encouraged to be received by December 1, 2026. Review of applications will continue until the position is filled.
Applicants must submit the following materials through Interfolio:
-
Curriculum vitae
-
Research statement, up to five pages
-
Statement of teaching philosophy, up to two pages
-
Names and contact information for three to five professional references. Letters of reference will be requested only if the candidate advances to the interview stage.
Applicants will also be asked in Interfolio to indicate their first and second preferred home departments from the following eligible options: Statistics, Computer Science, and Electrical and Computer Engineering.
See all TN Visa AI Research Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa AI Research Scientist Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as an AI Research Scientist
Align your credentials to TN categories
AI Research Scientist isn't a named TN visa category, so your offer letter must frame your role under Computer Systems Analyst or Engineer. Your degree field and job duties both need to support that classification before you apply.
Request a research-specific offer letter
Generic offer letters get flagged at the port of entry. Ask your employer to describe your specific research scope, the models or systems you'll work on, and how your academic background qualifies you for that work.
Target employers with active AI research labs
Companies running dedicated AI research divisions, not just applied ML teams, are more familiar with TN sponsorship for research roles. University-affiliated research centers and national labs also routinely sponsor TN professionals in this field.
Use Migrate Mate to find TN-ready employers
Spotting which employers have sponsored TN professionals in research roles takes more than a keyword search. Migrate Mate surfaces that employer history so you can focus your applications on companies already prepared to file.
Prepare for CBP scrutiny on research versus product roles
CBP officers sometimes question whether AI research constitutes a qualifying specialty occupation. Bring published papers, conference proceedings, or a project summary that distinguishes your research function from a general software engineering position.
Mexican professionals must account for consular processing
Unlike Canadians who can self-petition at a port of entry, Mexican nationals apply through a U.S. consulate and face the annual TN allocation. Build extra lead time into your start date and confirm your employer's timeline accounts for consular scheduling.
AI Research Scientist TN Visa: Frequently Asked Questions
Does an AI Research Scientist role qualify for TN visa sponsorship?
Yes, but the classification depends on how your role is framed. TN visa categories don't list AI Research Scientist explicitly, so your employer must map the position to an approved category such as Computer Systems Analyst or Engineer. Your degree field must align with that category, and your offer letter must describe research duties that support the classification at the port of entry or consulate.
How does the TN visa compare to H-1B for AI Research Scientist roles?
The TN visa has no annual lottery and no cap for Canadian citizens, which means you can start working as soon as CBP approves your entry rather than waiting for an October 1 start date. H-1B visa requires surviving a random lottery with roughly one-in-four odds before any adjudication begins. For Mexican nationals, TN has an annual allocation limit, but it still avoids the lottery. The tradeoff is that TN doesn't lead directly to permanent residence, while H-1B is a dual-intent visa that does.
What documents should I bring to the port of entry for a TN application as an AI researcher?
You'll need your valid passport, a detailed offer letter from your U.S. employer describing your research role and its connection to your degree, and proof of your academic credentials such as official transcripts or a degree certificate. Published research, conference papers, or a project brief can strengthen your case if a CBP officer questions whether your duties constitute a qualifying specialty occupation rather than general software development work.
Which employers are most likely to sponsor TN visas for AI Research Scientists?
Companies operating dedicated AI research divisions, federally funded research and development centers, and university-affiliated labs are among the most experienced with TN sponsorship for research roles. These organizations often have immigration counsel on retainer and understand how to structure an offer letter that satisfies TN category requirements. Migrate Mate lets you search for employers with a documented history of sponsoring TN professionals, so you can prioritize applications to organizations already familiar with the process.
Can I change employers or extend my TN status while working as an AI Research Scientist?
Yes. TN status is employer-specific, so changing employers requires a new TN application, either at a port of entry or through USCIS if you're already in the U.S. Extensions can be filed with USCIS in increments of up to three years, and there's no cap on how many times you can renew. Your new employer's offer letter must again satisfy the specialty occupation framing tied to your research role and degree field.