Visiting Assistant Professor

    Highlights

    The department seeks a committed educator and scholar who can support graduate instruction, mentor graduate and undergraduate students, and contribute to interdisciplinary teaching and research in AI, environmental science, environmental health, and public health systems. The Department of Natural Sciences and Environmental health department at Mississippi Valley State University invites applications for a full-time Visiting Assistant Professor position in Artificial Intelligence and Machine Learning with applications in Environmental Health Systems.

    Numbers & Facts

    LocationMS

    Description

    Posting Details

    Position Information

    Position Title Visiting Assistant Professor Job Description

    The Department of Natural Sciences and Environmental health department at Mississippi Valley State University invites applications for a full-time Visiting Assistant Professor position in Artificial Intelligence and Machine Learning with applications in Environmental Health Systems. The successful candidate will teach graduate-level courses in AI and machine learning, with emphasis on environmental data, environmental health, and Environmental Public Health applications and undergraduate courses as needed.

    The department seeks a committed educator and scholar who can support graduate instruction, mentor graduate and undergraduate students, and contribute to interdisciplinary teaching and research in AI, environmental science, environmental health, and public health systems.

    Required Qualifications

    Applicants must have:

    • A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Environmental Health, Environmental Science, Environmental Public Health, Computational Science, or a closely related discipline by the start date of appointment.
    • Expertise in AI/ML applications related to environmental data, environmental health, or environmental systems.
    • Demonstrated ability or strong potential to teach graduate courses in AI, machine learning, and environmental health applications.
    • Evidence of scholarly potential and the ability to engage students in research and applied learning experiences.
    • Strong communication, organizational, and interpersonal skills.
    • Commitment to excellence in teaching, advising, mentoring, research, and service.

    Preferred Qualifications

    Preference will be given to candidates who have:

    • Experience teaching or developing courses in AI, machine learning, environmental data analysis, environmental health, Environmental Public Health, or related fields.
    • Ability to teach additional AI and machine learning courses in the graduate program.
    • Research experience involving AI/ML applications in environmental health, environmental monitoring, environmental risk assessment, public health data, or related systems.
    • Postdoctoral, industry, or applied research experience in AI, environmental health, or environmental applications.
    • Commitment to mentoring and supporting a diverse student population.
    • Experience involving graduate or undergraduate students in research or applied projects.

    Physical Demands

    Posting Detail Information

    Posting Number SF901P Open Date 06/11/2026 Close Date 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.

    Supplemental Questions

    Required fields are indicated with an asterisk (*).

    Documents Needed To Apply

    Required Documents

    • Resume
    • Cover Letter
    • Transcripts
    • Letter of Recommendation
    • Curriculum Vitae
    • Portfolio

    Optional Documents

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