United Arab Emirates University

Assistant/Associate Professor - Computer &Network Engineering- CCAI

Al Ain, UAEPosted 9 months ago

Apply link checked 2 days ago

Salary
AED 12k–18k a month· est.
Job type
Full time
Level
Senior
Field
Engineering & Technology
Work mode
On site

About the role

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. We are seeking exceptional candidates with expertise in Quantum Computing, Quantum Communication, and Quantum Hardware, particularly those who can integrate these areas with Artificial Intelligence (AI) and Machine Learning (ML) to drive the next generation of computing and communication technologies. 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. Candidates should demonstrate the ability to publish impactful research in leading journals and conferences, foster interdisciplinary collaborations, and contribute to the advancement of the college and the broader academic community through leadership, innovation, and service. 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. Only short-listed candidates will be contacted for interviews. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. For more information about CIT, please visit https://www.uaeu.ac.ae/en/cit/. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/ A completed application must include: • A cover letter • An up-to-date curriculum vitae; • A research statement, describing current and future research; • A teaching statement, describing teaching philosophy; and • The names and contact information for at least three recommenders. About the UAEU: The United Arab Emirates University (UAEU), #229 in QS World University Rankings 2026, is committed to innovation and excellence in research and education. As the country’s flagship university, UAEU aims to create and disseminate fundamental knowledge through cutting-edge research in areas of strategic significance to the nation and the region, promote the spirit of discovery and entrepreneurship, and educate indigenous leaders of the highest caliber. Grade: 22.

Requirements

PhD in Computer Engineering or related areas. Preferred qualifications: An established record of research publications in Q1 Computer Engineering and Quantum Computing related journals and top conferences.

Responsibilities

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; secure research funding from national and international sources; publish impactful research; foster interdisciplinary collaborations; contribute to the advancement of the college and broader academic community through leadership, innovation, and service.

Skills

  • Quantum computing
  • Quantum hardware design
  • Quantum communication
  • Artificial Intelligence
  • Machine Learning
  • AI-driven quantum systems
  • hybrid classical–quantum architectures
  • intelligent hardware design
  • research funding
  • academic publishing
  • interdisciplinary collaboration
  • teaching at undergraduate and graduate levels

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