Assistant Professor - Digital Media

candidate must demonstrate an outstanding scholarly record, evidenced by high-impact peer-reviewed publications in leading 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 addresses artificial intelligence and machine learning, human-computer/robot interaction, and/or big data and social media analytics — including work that examines the design, development, and societal implications of these technologies from the perspectives of computer-mediated communication, user experience, and human factors in computing. Candidates must hold a Ph.D. in a relevant field of engineering, technology, or media conferred by the appointment start date. The successful candidate will teach undergraduate (and, where appropriate, graduate) courses related to their area of expertise, which may include courses in AI and Machine Learning, Human-Computer/Robot Interaction, Data Visualization, User Experience Research, User Interface Design, Social Media Applications and Analytics, and Computer-Mediated Communication. This is a full-time, benefits-eligible, tenure-track position on a 9-month appointment. Responsibilities include (1) a 2/2 teaching load of undergraduate and graduate courses relevant to the Digital Media program and the Information Science Technology department, (2) an active program of independent research, and (3) service to the program, department, and university. Digital Media is a broad field that encompasses the creative convergence of digital arts, science, technology, and business for human expression, communication, social interaction, and education. The DIGM curriculum emphasizes the “producer” and “strategist” aspects of digital media alongside its technical and aesthetic components, preparing graduates for high-demand roles across industry. The Digital Media B.S. program, housed in the Information Science Technology Department within the Cullen College of Engineering, is a growing program with ~400 undergraduate students and several production and research labs, including the UH UX Lab and the CougAR Lab. Based at UH's Sugar Land campus, the program is accredited by the Accrediting Council of Collegiate Graphic Communications (ACCGC). The Cullen College of Engineering is committed to expanding and advancing the quality of its engineering and technology research programs as part of UH's standing as a Carnegie Tier One Research university. The University of Houston is a Carnegie-designated Tier One public research university recognized with a Phi Beta Kappa chapter for excellence in undergraduate education. UH serves the globally competitive Houston and Gulf Coast region by providing world-class faculty, experiential learning and strategic industry partnerships. Located in the nation's fourth-largest city, UH enrolls nearly 49,000 students. Applications should be submitted at http://www.uh.edu/human-resources/uh-careers/ and include: (1) cover letter/letter of application; (2) curriculum vitae; (3) research statement; (4) teaching philosophy or statement; and (5) contact information for three professional references (full letters upon request). Minimum Qualifications • A Ph.D. in a relevant engineering, technology, or media field • Demonstrated research potential in artificial intelligence/machine learning, big data/social media, or human-computer/robot interaction • Ability to teach effectively at the undergraduate level, in-person and/or online Preferred Qualifications • Experience teaching courses such as AI and Machine Learning, Human-Computer/Robot Interaction, Data Visualization, User Experience Research, User Interface Design, Social Media Applications and Analytics, and Computer-Mediated Communication. • Record of, or clear potential for, extramural research funding • Experience with interdisciplinary or industry-facing research For inquiries about this position, prospective applicants are encouraged to contact Elizabeth Rodwell at erodwell@uh.edu . Review of applications will begin on December 1, 2026 and will continue until the position is filled. 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.