Tenure Track Assistant Professor Embedded Systems​/Internet of Things

Tenure Track Assistant Professor Embedded Systems/Internet of Things )

Job Title Tenure Track Assistant Professor Embedded Systems/Internet of Things )

Rank

Salary Range

Salary Range $86,000 - 90,000

The Department of Electrical and Computer Engineering at the University of Hartford is seeking to fill a tenure-track assistant professor position in Computer Engineering with a focus on Embedded Systems and their application to Internet of Things beginning August 2026. Candidates are expected to have a doctoral degree, excellent potential and dedication to teaching, research, service, and professional activities.

• Ordinarily teach three courses per semester in engineering and engineering technology related to computer engineering (course load may change based on departmental needs).
• Opportunity to teach innovative general education and interdisciplinary courses.
• Maintain an active scholarly research agenda with peer‑reviewed publications, presentations, or other professional accomplishments for tenure and promotion.
• Contribute to department, college, and university service, including advising students, supporting recruitment and retention, advising capstone projects, and participating in program accreditation.
• Demonstrate a commitment to inclusive excellence, fostering a vibrant campus community where every student, staff member, and faculty colleague feels valued and empowered.

• An earned doctorate in Computer Engineering or related discipline is required; ABDs will be considered if the candidate documents a degree completion date.

• Experience teaching computer engineering or related engineering disciplines at the undergraduate level.
• Demonstrated potential to build an independent research program related to embedded systems and their application to Internet of Things with undergraduate student involvement.
• Demonstrated potential to educate and mentor students from diverse backgrounds.
• Experience and/or demonstrated interest in course and curriculum development.
• Experience and/or demonstrated interest in student recruitment, retention, and career preparation.
• Applied and/or professional experience in embedded systems and Internet of Things.
• Commitment to Inclusive Excellence and Belonging.

As an institution of higher learning, the University of Hartford strives to be more than merely a mirror of the larger society; it should foster learning and encourage the personal growth of students, faculty, and staff in an environment that promotes and celebrates diversity in all of its forms regardless of identifying factors including race, sex, age, religion, national origin, socioeconomic status, physical and learning differences, sexual orientation, gender or gender identity.

The commitment is to:

• Foster an inclusive, equitable, just, and caring community where the identities of each person are fully appreciated and respected.
• Engage in civil discourse that values diverse intellectual perspectives.
• Cultivate a campus community reflective of the intersectionality of the larger society while maintaining safety and respect where all members feel belonging.
• Stand against acts of hate, intimidation, discrimination, bigotry, violence, and harassment of any kind.
• Uphold the values of the institution so that all members are treated with dignity and respect.

Our commitment to Inclusive Excellence and Belonging strengthens campus culture and engagement.

Students at the University of Hartford find success in a learning environment that both challenges and mentors them. Our academic mission is to engage students in acquiring the knowledge, skills, and values necessary to thrive in a pluralistic, complex world. We are committed to community and value integrity, curiosity, creativity, excellence, responsibility, and accomplishment. The full text of our academic mission, vision, and values can be seen tford.edu.

Opportunities for faculty development and support can be found at https://(Use the "Apply for this Job" box below). with additional affinity networks at…