Visiting Assistant Professor

NLP PEOPLE; Itta Bena (MS); On-site; USD 60,000 - 90,000; Full time

Job summary

Mississippi Valley State University invites applications for a Visiting Assistant Professor in AI and ML with applications in Environmental Health Systems. The role focuses on teaching graduate courses in AI/ML with environmental health emphasis, mentoring students, and contributing to interdisciplinary teaching and research across AI, environmental science and public health.

Successful candidates will support graduate instruction, engage in research, and collaborate on environmental health

Qualifications

• Ph.D. in AI/ML, data science, environmental health/science by start date.
• Expertise in AI/ML applications to environmental data and health.
• Ability to teach graduate AI/ML courses and health applications.
• Evidence of scholarly potential and ability to engage students in research and applied learning.
• Strong communication, organizational and interpersonal skills.
• Commitment to excellence in teaching, advising, mentoring and service.

Responsibilities

• Teach graduate-level courses in AI and machine learning with environmental health applications.
• Mentor graduate and undergraduate students and contribute to interdisciplinary teaching.
• Engage in research and collaborative projects in AI, environmental science and public health.

Skills

AI/ML applications

Environmental data analysis

Graduate instruction

Research mentorship

Communication skills

Teaching excellence

Education

Ph.D. in AI/ML/DS/Environmental Health/Environmental Science/Environmental Public Health/Computational Science

Job description

Job Description

The Department of Natural Sciences and Environmental Health 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. Successful candidates will teach graduate-level courses in AI and machine learning, emphasizing environmental data, environmental health, and environmental public health applications, and may teach 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

• 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

• 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.

Experience Level

Senior (5+ years of experience)