The Department of Computer Science and Engineering at the University of Louisville invites applications for a full-time Teaching Assistant Professor (Term) position (non-tenure track), beginning in Spring 2027. This position offers an exciting opportunity to join a dynamic, student-focused department within a thriving urban research university. Ideal candidates will hold a Ph.D. in Computer Science, Computer Engineering, or a closely related field; demonstrate a strong foundation in artificial intelligence and one or more core areas of computer science or computer engineering; possess outstanding communication skills; and show a passion for making meaningful, positive contributions to students’ educational experience. Because this is a teaching-focused position, candidates should be prepared to teach under-graduate and graduate courses in artificial intelligence as well as core areas of computer science and engineering. The successful candidate will play an important role in expanding the department's rapidly growing AI curriculum, including AI literacy and fluency, hands-on AI tools, machine learning, generative AI, and other AI-related courses, while also contributing to instruction in core computer science and engineering areas as needed. The University of Louisville is a Carnegie R1 research institution and a nationally recognized Metropolitan Research University located in Kentucky’s largest and most diverse city. Louisville has a metropolitan population of over 1.2 million and is within a two-hour drive of Cincinnati, Indianapolis, and Nashville. The Department of Computer Science and Engineering is strongly committed to excellence in teaching, research, and service. Faculty enjoy opportunities for cross-disciplinary collaboration, engagement with industry partners, and participation in initiatives that support student success and community impact. The department has experienced significant enrollment growth in recent years and is expanding its programs in Artificial Intelligence and Cybersecurity.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree