Visiting Assistant Professor

About the role

The Department of Natural Sciences and Environmental Health at Mississippi Valley State University is seeking a full-time Visiting Assistant Professor in Artificial Intelligence and Machine Learning with applications in Environmental Health Systems.

Responsibilities

• Teach graduate-level courses in AI and machine learning, with emphasis on environmental data, environmental health, and Environmental Public Health applications.
• Teach undergraduate courses as needed.
• Support graduate instruction.
• Mentor graduate and undergraduate students.
• Contribute to interdisciplinary teaching and research in AI, environmental science, environmental health, and public health systems.

Requirements

• 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.

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.