importance, including intelligent sensing and perception, autonomous control and decision-making, embedded and edge AI, robotics, and real-world deployment of intelligent systems. The appointee will contribute to building a high-quality research program, securing external research funding, and establishing productive collaborations within UAEU and with external partners. Qualifications • Applicants must hold a Ph.D. in computer engineering, computer science, systems engineering, or a closely related field from a recognized institution. • Demonstrated experience in industry collaboration, technology transfer, and the successful execution of R&D projects, including projects conducted in partnership with industry and other external stakeholders. Candidates should demonstrate: • A strong publication record in reputable journals and leading international conferences. • Evidence of, or strong potential for, securing competitive research funding. • Excellence in teaching and student supervision at undergraduate and graduate levels. • The breadth to teach courses across computer and AI engineering and related areas. • Strong collaboration and communication skills, with the ability to contribute to interdisciplinary initiatives. Only shortlisted candidates will be contacted for an interview. CCAI and UAEU are committed to fostering a diverse, inclusive, and equitable environment for students, staff, and faculty. Application Instructions Applications must be submitted online at https://jobs.uaeu.ac.ae/. About UAEU The United Arab Emirates University is committed to excellence in education, research, innovation, and entrepreneurship. As the UAE’s national university, UAEU advances knowledge through research in areas of strategic importance to the nation and the region while preparing future leaders and contributing to societal progress.
Minimum Qualification
• Applicants must hold a Ph.D. in computer engineering, computer science, systems engineering, or a closely related field from a recognized institution. • Demonstrated experience in industry collaboration, technology transfer, and the successful execution of R&D projects, including projects conducted in partnership with industry and other external stakeholders.
Preferred Qualification
Candidates should demonstrate: • A strong publication record in reputable journals and leading international conferences. • Evidence of, or strong potential for, securing competitive research funding. • Excellence in teaching and student supervision at undergraduate and graduate levels. • The breadth to teach courses across computer and AI engineering and related areas. • Strong collaboration and communication skills, with the ability to contribute to interdisciplinary initiatives.
