Computer Science & Engineering - Assistant Professor; Tenure-Track

Assistant Professor Of Electrical Engineering

To support the continued growth of its engineering programs, the School of Computing and Engineering, in the College of Arts and Sciences, invites applications for a tenure-track Assistant Professor for the ABET-accredited B.S. in Electrical Engineering program  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 January 2027 (Spring semester).

Primary responsibilities include:

• Designing and teaching problem-based, hands-on undergraduate courses in electrical engineering, with an emphasis on robotics, embedded systems, and related areas
• Teaching higher level Electrical Engineering courses such as Power Systems and Electromagnetics.
• Conducting scholarly research appropriate for a teaching-focused institution
• Supervising undergraduate student research and senior capstone design projects
• Collaborating with industry partners and the SHU community on interdisciplinary projects
• Advising Electrical Engineering majors
• Supporting continuous program improvement and ABET accreditation activities

Minimum Qualifications:

• Ph.D. in Electrical Engineering or a closely related discipline, completed by the start date of the appointment
• Expertise in mechatronics, robotics, or closely related areas
• 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

Preferred Qualifications:

• Experience working in a makerspace or laboratory-intensive teaching environment
• Experience with active or project-based learning approaches
• Experience applying machine learning techniques within engineering contexts
• 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

Review of applications will begin May 2, 2026 and will continue until the position is filled. The anticipated start date for the position is January 2027 (Spring semester). Applications will be reviewed on a rolling basis.

Questions about the position may be directed to Dr. Tolga Kaya, at kayat