Assistant Professor, Computer Science - Artificial Intelligence/Machine Learning (Tenure-Track)

Teaches undergraduate and graduate courses with a focus in machine learning and its applications in artificial intelligence, NLM, GenAI, computer graphics, networking, cybersecurity, IoT, robotics, HCI, databases, software engineering, etc. in The School of Computer Science, Information, and Engineering Technology. Conducts research and produces scholarship in candidate's area of expertise. Seeks and secures external funding. Contributes to programmatic improvement, curricular development, and assessment efforts at both the undergraduate and graduate levels. Establishes interdisciplinary collaborations across the University or with external organizations and performs service to the University.

Plans, organizes, teaches, and provides feedback to promote and direct student success. Responds to students in a timely manner. Communicates with students, departments, and university officials via university provided tools and resources.

Work Schedule: Typically, Monday through Friday, including some evenings, and the possibility of some weekend days.

Required Certifications, Training, and/or Licensures: None

Sponsorship and/or Work Authorization Status: Must be currently authorized to work in the United States on a full-time basis.

Minimum Qualifications: A Ph.D. in Computer Science, Computer Engineering, Machine Learning, or a closely related field (or an ABD candidate with a Ph.D. conferred by the time of appointment); and must be currently authorized to work in the United States on a full-time basis.

Preferred Qualifications: Experience teaching at the college level. Research productivity/potential for sustained scholarly achievement. Research and teaching experience in the following or closely related areas: machine learning, artificial intelligence, and computer graphics.