Assistant, Associate or Full Professor

Houston, Texas, United States

Job description

Salary: Commensurate with Experience

Organization: H0139 Engineering Technology


The Department of Engineering Technology at the University of Houston is currently seeking applications and nominations for a tenured or tenure track faculty position at the Assistant, Associate, or Full Professor rank starting in the fall of 2018.

The Department is searching for outstanding individuals demonstrating a track record of research, teaching, and industrial interaction in one or more strategic areas identified for the position: including cybersecurity, networked embedded systems, advanced cyber infrastructure, data analytics and their applications in energy and energy systems, power grid, networking and cloud computing, transportation, healthcare, and bio-medical fields.

It is expected that the selected applicant would establish a vigorous externally funded research program in one or more strategic areas; develop collaborative research partnership on campus and with local and regional research and industry sectors, including but not limited to Houston Energy Research Park, Houston Energy Corridor, and Texas Medical Center; and contribute to maintaining high-quality and professional as well as federal and state accreditations of the Computer Engineering Technology (CET) program; teach both undergraduate and graduate courses; develop courses for the MS and PhD program track in networking and communication, cybersecurity, and computational health informatics; and perform service duties to the Department of Engineering Technology, University of Houston, and professional societies.

With state-of-the-art technology and research facilities that include the research laboratories Wireless Optical Networking lab, Software Defined Networking lab, Intelligent Sensor Grid and Informatics lab, Pervasive Networks, Power Electronics, Biomedical Imaging and Biotechnology, the Department has experienced steady growth in research funding and student enrollment. Currently it has over 2,300 students, 35 full-time faculty and staff, and offers four B.S. and 4 M.S. degrees with annual research and development spending over $1.0 M from external sources.

Additional information about the department is available at

Please include (a) current vita; (b) research interest and accomplishments; (c) philosophy regarding the role of a faculty member with regard to research, teaching, and service (please provide a one-page statement for each role); and (d) names and contact information for three references as part of the application.

The University of Houston, with one of the most diverse student bodies in the nation, seeks to recruit and retain a diverse community of scholars.

The University of Houston is an equal opportunity/affirmative action employer. Minorities, women, veterans, and persons with disabilities are encouraged to apply.

The University of Houston is responsive to the needs of dual career couples.


A PhD in Electrical Engineering, Computer Engineering or Computer Engineering Technology, Computer Science, or a closely related field, with a strong commitment and potential for independent and collaborative research, education and outreach is required.
Track record of interacting and building industry-academic-government partnership and industrial experience that demonstrated potential to advance the field of connected smart systems of systems and communities are also highly desirable.

How to apply

Apply online with
Curriculum Vitae, Teaching Philosophy or Statement, Research Statement

Employee Status:

Every year, students come from around the world to pursue graduate and undergraduate programs at the University of Houston. What do they find when they get here? Our students find more than 100 undergraduate majors and minors and nearly 200 graduate degree programs, including some that rank among the nation's best. They find the opportunity to conduct world-class research with award-winning faculty, like Ioannis A. Kakadiaris, who is working toward early detection of heart attack risk.