Associate Professor - Computer Information Systems - (496940 )

journals and conference proceedings, and a forward-looking research agenda with the potential to secure competitive external funding. We are particularly interested in candidates whose research focuses on Cybersecurity, Quantum Computing, Artificial Intelligence/Machine Learning (AI/ML), or the intersection of these areas, and whose work complements existing faculty strengths, fosters interdisciplinary collaboration, and advances the mission of the Computer Information Systems program. To be considered for this position, candidates must hold a doctoral degree in Information Systems, Computer Science, Computer Engineering, or a closely related Technology/Engineering field. Furthermore, candidates are expected to have substantial teaching experience in both face-to-face and online formats at the undergraduate and graduate levels. Successful applicants will demonstrate commitment to innovative instructional strategies, continuous professional development, and the ability to adapt curriculum design and delivery to meet evolving industry demands. The Department of Information Science Technology (IST), located at the Sugar Land campus, is a dynamic unit within the Cullen College of Engineering. IST offers innovative degree programs in Computer Information Systems, Cybersecurity, Digital Media, and Technology Leadership and Innovation Management. Our location provides extensive opportunities for industry collaboration, including partnerships with the Texas Medical Center, Energy sector, and NASA Johnson Space Center. Our new state-of-the-art building at the Sugar Land campus houses a National Security Agency Center for Information Security Research and Education and a Department of Transportation Tier 1 Cyber-CARE Center focused on Cybersecurity Research. Our Department also houses several research labs focused on Applied Data Science, Smart Security Systems, Augmented/Virtual Reality, User Experience, offering the successful candidate the opportunity to shape these facilities. The University of Houston is a Carnegie Tier 1 Public Research University that is strategically located in Houston, the Energy Capital of the world and home to the largest medical center in the nation. UH thrives on strong industry partnerships and a wealth of experiential learning opportunities that empower students for success. Applications should be submitted at http://www.uh.edu/human-resources/uh-careers/ and include: (1) letter of interest; (2) Curriculum Vitae; (3) research statement; (4) teaching statement; (5) three representative publications; and (6) contact information for three references. For inquiries about this position, prospective applicants are encouraged to contact Dr. Xuqing (Jason) Wu at xwu7@uh.edu . The review of applications will commence on December 1, 2026 and will continue until the position is filled. Minimum Qualifications Required • A Ph.D. in Information Systems, Computer Science, Computer Engineering, or a closely related Technology/Engineering field • Strong record of external research funding and high-impact publications • Ability to teach effectively in person, online, or in hybrid learning environments • Expertise in Cybersecurity, Quantum Computing, and/or AI/ML

Employees are expected to have a home address in the state of Texas for the duration of their appointments.

Official transcripts are required for a faculty appointment and will be requested upon selection of the final candidates.

All positions at the University of Houston-System are security sensitive and will require a criminal history check. Individuals conducting research in critical infrastructure areas (i.e., communication infrastructure systems, cybersecurity systems, electric grid, hazardous waste treatment systems, and/or water treatment facilities) are subject to regular review to ensure the security and integrity of the research is maintained.

The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.