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Open nowPosted 5 days ago

Computer Science - Tenure-Track Assistant Professor

SHU64 open roles

Where
5151 Park Ave, Fairfield, CT 06825, USA
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Your applicationOpen nowComputer Science - Tenure-Track Assistant ProfessorSHU · 5151 Park Ave, Fairfield, CT 06825, USA

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  5. 33.7%30 days
This job: posted 5 days ago

The posting

  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 programs—Computer Science, Information Technology, Game Design & Development, Cybersecurity, Computer Engineering, Electrical Engineering, and Mechanical Engineering. To 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 institution. Supervising graduate and undergraduate student research as well as mentoring senior capstone design projects. Collaborating with industry partners and the SHU community on interdisciplinary projects. Supporting continuous program improvement and ABET accreditation activities.

Minimum Qualifications:

Ph.D. in Computer Science, Artificial Intelligence or a closely related discipline, completed by the start date of the appointment. Expertise in artificial intelligence, machine learning and language models preferred. Commitment to a highly interactive, student-centered learning environment Openness to innovative and hands-on pedagogical approaches Demonstrated potential for scholarly research and professional growth Experience developing or maintaining industry collaborations

Preferred Qualifications:

Experience with active or project-based learning approaches Experience applying machine learning techniques within any scientific context Evidence of an ongoing scholarly research agenda and publication activity Experience developing or maintaining industry collaborations

  To apply, please submit the following materials:

A cover letter describing your interest in the position and how your background aligns with the responsibilities and qualifications A curriculum vitae A statement of teaching philosophy A statement describing past and future research interests Contact 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 basis.   Questions about the position may be directed to Dr. Samah Senbel, at [email protected]

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