Assistant Professor, Computer Science - Artificial Intelligence​/Machine Learning; Tenure-Track

Teaches undergraduate and graduate courseswith 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.

An Institution of Opportunity:

YSUinspires individuals, enhances futures, and enriches lives.

As a student-centered university, Youngstown State University’s mission is to provide innovative lifelong learning opportunities that will inspire individuals, enhance futures and enrich lives.

YSUinspires individuals by cultivating a curiosity for life-long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement of civic, scientific, and technological development. YSU’s culture of enrichment flourishes in our intellectually diverse, accessible, and quality education.

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 mustbe 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.

Physical Requirements:In accordance with the U.S. Department of Labor physical demands strength ratings, this position will perform sedentary work.

Sedentary:work involves exerting up to 10 pounds of force occasionally or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs may be defined as Sedentary when walking and standing are required only occasionally, and all other Sedentary criteria are met.

Please upload all transcripts as one PDF file.

At time of hire, all candidates must provide official transcripts. Official transcripts must be provided in an unopened, sealed envelope and must bear the embossed or raised college seal, date and Registrar’s signature.