H-1B Visa Visiting Professor Jobs
Visiting Professor roles qualify as H-1B visa specialty occupations because they require at least a master's degree or equivalent in the academic discipline being taught. Universities and colleges are among the most experienced H-1B sponsors in the country, with dedicated international faculty offices that handle LCA filings and I-129 petitions regularly.
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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 102+ H-1B Visa Visiting Professor Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Visiting Professor Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Visiting Professor
Verify your credentials meet specialty occupation
Visiting Professor positions require a degree directly related to the subject you'll teach. A PhD in economics supports an economics lectureship; a business MBA alone typically won't. Gather transcripts, degree equivalency evaluations, and any U.S. credential assessments before applying.
Target universities with active H-1B history
Use Migrate Mate to identify institutions with verified H-1B LCA filing history for academic roles. Research-intensive universities and large state systems sponsor far more frequently than small private colleges or community colleges.
Understand the cap-exempt advantage of universities
Most universities and affiliated research institutions qualify as cap-exempt H-1B employers, meaning your petition bypasses the annual cap entirely. The selection rules have changed recently for cap-subject employers, so this exemption matters significantly for your timeline.
Confirm each campus requires its own LCA
If your visiting role spans multiple campuses or worksites, each location needs its own certified LCA filed with DOL before USCIS can process the I-129. Raise this early with the sponsoring department's international office to avoid delays.
Use O*NET to frame your specialty occupation case
The O*NET profile for postsecondary teachers documents the advanced degree requirements USCIS looks for in specialty occupation determinations. Reference the specific SOC code matching your discipline when the department's HR team drafts the job description for the LCA.
Negotiate start dates around USCIS processing reality
H-1B status is granted for up to three years and can be extended to a six-year maximum. Build your offer letter start date around realistic I-129 processing timelines, and confirm with the university whether premium processing is available for your position.
H-1B Visa Visiting Professor: Frequently Asked Questions
Does a Visiting Professor role qualify as an H-1B specialty occupation?
Yes. Visiting Professor positions qualify as specialty occupations because they require at least a master's degree, and typically a PhD, in the specific academic discipline being taught. USCIS evaluates the degree requirement against the actual duties in the job description and LCA, so the offer letter must clearly state the subject area and degree requirement.
Are universities cap-exempt for H-1B petitions?
Most accredited universities and affiliated nonprofit research institutions qualify as cap-exempt H-1B employers under INA Section 214(g)(5)(A). This means your I-129 petition can be filed at any time and does not compete in the annual cap selection process. Confirm cap-exempt status with the institution's international faculty office before accepting an offer.
How do I find universities actively sponsoring H-1B visiting faculty?
Migrate Mate shows employers with verified H-1B LCA filing history, searchable by role and location, so you can identify institutions that have recently sponsored academic positions rather than relying on job postings alone. Research-intensive universities and large public systems tend to have dedicated international hiring infrastructure and sponsor more consistently.
What happens to my H-1B status if the visiting appointment ends early?
If your Visiting Professor appointment terminates before the authorized period ends, your H-1B status ends with it. USCIS allows a grace period of up to 60 days to find a new sponsoring employer or change status. The sponsoring university is responsible for notifying USCIS and covering reasonable return transportation costs if they terminate the position.
Can I teach at multiple campuses under one H-1B petition?
No. Each worksite location requires its own certified LCA filed with DOL before the I-129 petition can cover that location. If your visiting appointment involves teaching at a satellite campus or partner institution in a different city, the sponsoring department must file a separate LCA for each worksite. Clarify multi-site arrangements during offer negotiations, not after the petition is filed.