Faculty Position in Quantum Computing, AI, and Hardware; Ranks

Job Description

The College of Information Technology (CIT) at the United Arab Emirates University (UAEU) invites applications for a faculty position in the Department of Computer and Network Engineering. The successful candidate will be expected to teach and mentor undergraduate and graduate students, establish and lead a competitive research program in Quantum Computing, Communication, and Hardware with emphasis on AI-driven quantum systems, hybrid classical–quantum architectures, and intelligent hardware design, and secure research funding from national and international sources.

Applicants must hold a Ph.D. in Computer Engineering, Computer Science, Computer Systems Engineering, or a closely related discipline, and must have a proven record of research achievement in one or more of the following areas: quantum computing and hardware design, quantum communication and networking, AI for quantum systems, or quantum machine learning and AI–quantum hybrid algorithms. Demonstrated success, or strong potential, in securing research funding and building collaborative projects is essential.

Evidence of effective and innovative teaching at both undergraduate and graduate levels is also required. Industrial or practical experience in quantum technologies, advanced computing, or intelligent hardware systems will be considered a strong asset.

Applicants should submit a cover letter and full curriculum vitae online at (Use the "Apply for this Job" box below). English is the language of instruction and communication at CIT, and applications submitted through other channels will not be considered. For inquiries regarding the application process, please contact itdean.ae.

Applicants must hold a doctoral degree in the relevant field and the ability to teach undergraduate courses is a must. Industrial and professional experience is a plus.

Applicants must have a proven record of research achievement in one or more of the following areas: quantum computing and hardware design, quantum communication and networking, AI for quantum systems, or quantum machine learning and AI–quantum hybrid algorithms. Demonstrated success, or strong potential, in securing research funding and building collaborative projects is essential. Evidence of effective and innovative teaching at both undergraduate and graduate levels is also required.

Industrial or practical experience in quantum technologies, advanced computing, or intelligent hardware systems will be considered a strong asset.

31/07/2026. Apply before the closing date.