H-1B Visa Visiting Assistant Professor Jobs
Visiting Assistant Professor jobs at H-1B visa-sponsoring universities put your research and teaching credentials directly to work. These roles qualify as specialty occupations under H-1B rules because they require at minimum a master's or doctoral degree in a directly related academic field, making degree match and employer LCA filing history the two factors that matter most in your search.
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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 64+ H-1B Visa Visiting Assistant Professor Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Visiting Assistant Professor Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Visiting Assistant Professor
Align your degree field to the posting
USCIS evaluates whether your specific degree field matches the discipline you'll be teaching and researching. A PhD in biochemistry supports a visiting role in life sciences but won't support one in economics, so apply only where the alignment is direct.
Verify the LCA covers every campus location
If your appointment spans multiple campuses or teaching sites, each worksite needs its own certified LCA. Confirm with your department administrator before you sign the offer letter that all locations are listed on the DOL-certified LCA.
Search employers using Migrate Mate's LCA data
Target universities that have filed H-1B LCAs for faculty roles in your field. Migrate Mate shows verified LCA filing history by employer and occupation, so you can prioritize institutions that have sponsored visiting faculty before.
Request I-129 filing before your start date
Visiting appointments often have hard start dates tied to the academic calendar. Ask HR whether the institution can file the I-129 with premium processing to ensure USCIS adjudication completes before your first day of instruction.
Use O*NET to document specialty occupation duties
The O*NET profile for postsecondary teachers lists the degree-level duties that define specialty occupation status. Use that language when describing your responsibilities in faculty offer letters and any supporting employer documentation sent to USCIS.
Check prevailing wage before negotiating your offer
Your employer must pay at least the DOL prevailing wage for your role, rank, and worksite zip code. Run the OFLC Wage Search using your SOC code and location before the offer stage so you know the floor before salary discussions begin.
H-1B Visa Visiting Assistant Professor: Frequently Asked Questions
Do Visiting Assistant Professor roles qualify as H-1B specialty occupations?
Yes. Visiting Assistant Professor positions require at minimum a master's degree, and typically a PhD, in the specific academic discipline tied to the role. That direct degree requirement meets the specialty occupation standard under H-1B rules. The key is that your degree field must correspond to the subject matter you'll be teaching and researching, not just to academic work in general.
How do I find universities that have sponsored H-1B visas for visiting faculty?
Search Migrate Mate to browse employers with verified H-1B LCA filing history for faculty and research roles. Universities that have filed LCAs for visiting or adjunct faculty before are significantly more likely to have established HR processes, which reduces delays and administrative friction on your end during the sponsorship process.
Can my H-1B status cover a one-year visiting appointment?
Yes. H-1B status is granted in increments of up to three years and can be extended to a six-year maximum. A one-year visiting appointment fits within that window. If your appointment is renewed or converted to a longer-term position, your employer can file an extension before the current status expires, maintaining your work authorization continuously.
What happens to my H-1B status if the visiting appointment ends and I don't have a new job lined up?
When a cap-subject H-1B employment ends, you have a 60-day grace period to find a new sponsoring employer, change to another visa status, or depart the United States. Your new employer would need to file a new H-1B petition or a transfer petition. Because visiting appointments are time-limited, it's worth beginning your next employer search before your contract end date.
Does my employer need to file a separate LCA if I teach at more than one campus?
Yes. Each worksite where you perform H-1B duties needs its own certified LCA filed with DOL before you begin work at that location. If your visiting appointment involves teaching at a satellite campus or affiliated institution not listed on the original LCA, your employer must file an amended LCA covering that worksite. Confirm all locations are accounted for before you start.