Computer Science Tenure-Track Assistant Professor

Sacred Heart University (SHU) located in Fairfield Connecticut houses its School of Computing & Engineering (SCE) within the College of Arts & Sciences. SCE offers two graduate programs (M.S. in Computer Science & Information Technology and M.S. in Cybersecurity) and seven undergraduate Bachelor of Science programsComputer Science Information Technology Game Design & Development Cybersecurity Computer Engineering Electrical Engineering and Mechanical support the continued growth of its computing programs the School of Computing and Engineering invites applications for a tenure-track Assistant Professor for the ABET-accredited B.S. in Computer Science program at SHU. The successful candidate will be a dynamic and innovative educator-scholar committed to excellence in undergraduate teaching student mentoring and scholarly activity. The position emphasizes hands-on project-based learning and active engagement with students while contributing to curriculum development and continuous program improvement aligned with ABET accreditation standards. The anticipated start date for this position is August 2027 (Fall semester).Primary responsibilities include:Designing and teaching problem-based hands-on undergraduate courses in computer science with an emphasis on machine learning generative AI natural language processing and computer vision. Conducting scholarly computer science and artificial intelligence research appropriate for a teaching-focused graduate and undergraduate student research as well as mentoring senior capstone design with industry partners and the SHU community on interdisciplinary continuous program improvement and ABET accreditation Qualifications:Ph.D. in Computer Science Artificial Intelligence or a closely related discipline completed by the start date of the in artificial intelligence machine learning and language models to a highly interactive student-centered learning environmentOpenness to innovative and hands-on pedagogical approachesDemonstrated potential for scholarly research and professional growthExperience developing or maintaining industry collaborationsPreferred Qualifications:Experience with active or project-based learning approachesExperience applying machine learning techniques within any scientific contextEvidence of an ongoing scholarly research agenda and publication activityExperience developing or maintaining industry collaborationsTo apply please submit the following materials:A cover letter describing your interest in the position and how your background aligns with the responsibilities and qualificationsA curriculum vitaeA statement of teaching philosophyA statement describing past and future research interestsContact information for three professional references (letters of recommendation will be required from final candidates)Review of applications will begin December 1st 2026 and will continue until the position is filled. The anticipated start date for the position is August 2027 (Fall semester). Applications will be reviewed on a rolling about the position may be directed to Dr. Samah Senbel at