Visiting Professor Jobs in USA with Visa Sponsorship
Visiting Professor roles at U.S. universities typically qualify as specialty occupations, making H-1B visa and J-1 visa the most common sponsorship paths. Many institutions also use TN visa status for Canadian and Mexican academics. Because these are fixed-term appointments, your visa timeline must align tightly with your contract start date.
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Visiting Assistant Professor of Artificial Intelligence and Machine Learning
Job Description
The Department of Natural Sciences and Environmental Health at Mississippi Valley State University invites applications for a full-time Visiting Assistant Professor of Artificial Intelligence and Machine Learning (AI/ML).
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
Required Qualifications
Applicants must possess the following qualifications:
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
Preferred Qualifications
The following qualifications are desirable but not required:
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
Physical Demands
Posting Number
SF901P
Open Date
10/21/2026
Open Until Filled
Yes
Special Instructions to Applicants
Application Materials
Applicants should submit the following:
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
The university is an Equal Opportunity Employer and encourages applications from candidates who are committed to teaching, mentoring, research, and supporting students from diverse backgrounds.
Documents Needed To Apply
Required Documents
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
Optional Documents
Position Title
Visiting Assistant Professor of Artificial Intelligence and Machine Learning
Job Description
The Department of Natural Sciences and Environmental Health at Mississippi Valley State University invites applications for a full-time Visiting Assistant Professor of Artificial Intelligence and Machine Learning (AI/ML).
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
Required Qualifications
Applicants must possess the following qualifications:
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
Preferred Qualifications
The following qualifications are desirable but not required:
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
Physical Demands
Posting Number
SF901P
Open Date
10/21/2026
Open Until Filled
Yes
Special Instructions to Applicants
Application Materials
Applicants should submit the following:
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
The university is an Equal Opportunity Employer and encourages applications from candidates who are committed to teaching, mentoring, research, and supporting students from diverse backgrounds.
Documents Needed To Apply
Required Documents
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
Optional Documents
See all 104+ Visiting Professor Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Visiting Professor roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Visiting Professor
Verify your degree field matches the role
Visiting Professor appointments are specialty occupations under USCIS rules, meaning your degree must directly relate to the subject you'll teach. A philosophy doctorate won't support a chemistry sponsorship, even at the same institution.
Request a J-1 DS-2019 from your host institution
Many universities sponsor Visiting Professors through J-1 Research Scholar or Professor categories instead of H-1B. Confirm whether your host school is a designated J-1 sponsor before accepting an offer, as not all institutions hold that designation.
Check if TN status fits your nationality and discipline
Canadian and Mexican nationals teaching in qualifying fields can enter on TN status without an employer petition at USCIS. TN covers university-level teaching, so confirm your specific discipline appears on the USMCA profession list before the offer stage.
Align your contract dates with H-1B cap timing
H-1B is subject to an annual cap and selection process whose rules have changed recently. If your appointment starts mid-year, confirm with the university's international office whether a cap-exempt filing applies, since many nonprofit educational institutions qualify.
Search for institutions with active LCA filing history
Use Migrate Mate to identify universities and research institutions that have filed Labor Condition Applications for Visiting Professor roles, so you target employers already familiar with the sponsorship process rather than starting the conversation from scratch.
Confirm prevailing wage before your offer letter is finalized
Your employer's LCA must certify that your salary meets the DOL prevailing wage for your role and location. Run the OFLC Wage Search for the Postsecondary Teachers occupation in your metro area so you can flag any shortfall before the offer is signed.
Frequently Asked Questions
Which visa types do U.S. universities typically use to sponsor Visiting Professors?
The most common paths are H-1B for specialty occupation positions, J-1 under the Research Scholar or Professor categories, and TN for Canadian or Mexican nationals in qualifying disciplines. Some institutions also use O-1 visa for professors with an exceptional record of publications, awards, or citations. The right visa depends on your nationality, appointment length, and whether your host school holds the necessary sponsor designations.
Does a Visiting Professor role qualify as a specialty occupation for H-1B purposes?
Yes. USCIS treats postsecondary teaching positions as specialty occupations because they normally require at least a bachelor's degree in a directly related field. The O*NET profile for Postsecondary Teachers supports this classification. Your degree field must correspond to the subject you'll teach, so a mismatch between your discipline and the department's focus is the most common reason for a Request for Evidence on these petitions.
Can a university sponsor a Visiting Professor without going through the H-1B lottery?
Many can. Nonprofit universities, affiliated research organizations, and government research institutions are cap-exempt under the H-1B rules, meaning they can file at any time and bypass the annual selection process entirely. For-profit institutions and industry research labs are generally cap-subject. Confirm your prospective employer's cap-exempt status with their international office before you count on a specific start date.
What happens to my visa status if my Visiting Professor contract ends early or isn't renewed?
On H-1B, you have a 60-day grace period after your position ends to find a new sponsor, change status, or depart the U.S. On J-1, the grace period is 30 days. If your contract is cut short mid-term, the grace period starts from your actual last day of employment, not the original contract end date, so notify your institution's international office immediately.
How do I find universities actively sponsoring Visiting Professor roles?
Migrate Mate lists U.S. employers with verified LCA filing history for academic and research roles, so you can focus your applications on institutions that have recently sponsored positions like yours rather than approaching cold. Filtering by role type and location helps you match your discipline and geographic preferences at the same time.
What is the prevailing wage requirement for sponsored Visiting Professor jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.