Assistant / Associate Professor of Computer Science

The School of Arts and Sciences invites applications for a full-time faculty position in Computer Science at the rank of Assistant or Associate Professor to begin teaching in Spring-Fall 2027 . The successful candidate will contribute to undergraduate teaching in Computer Science and support the continued development of the program through teaching, scholarly engagement, curriculum innovation, and service. We seek a candidate with a strong record of research and scholarly activity, or clear potential to establish a productive research agenda. The position offers opportunities to contribute to emerging areas such as artificial intelligence, machine learning, data science, software development, cybersecurity, and related fields. The successful candidate will: • Teach undergraduate courses in Computer Science, including introductory programming and foundational computing courses. • Contribute to curriculum development, assessment, and continuous improvement of the Computer Science program. • Support the growth of academic offerings in areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Software Development, Cloud Computing, and related fields. • Maintain an active program of research and scholarly activity consistent with the University's mission. • Engage in educational scholarship, applied research, and/or industry collaboration. • Advise and mentor students in academic, professional, and research activities. • Supervise student projects, capstones, internships, and portfolios, as appropriate. • Participate in departmental, school, and university service activities. The successful candidate should have: • A Ph.D. or equivalent terminal degree from an accredited institution in Computer Science, Computer Engineering, or a closely related discipline. • Demonstrated excellence in teaching undergraduate Computer Science courses. • Expertise in one or more of the following areas: Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Databases, Cybersecurity, Cloud Computing, or other emerging computing fields. • Evidence of a strong research record or the potential to establish a productive research agenda. • Strong communication and interpersonal skills, and the ability to work effectively in a diverse academic environment. Preferred Qualifications: • Relevant professional or industry experience. • Experience supervising student projects, capstones, internships, or portfolios. • Experience in curriculum design, program development, or academic assessment. • Evidence of successful interdisciplinary collaborations, grants, or industry partnerships.