Faculty Positions In Computer And AI Engineering — Assistant Associate And Full Professor

United Arab Emirates University, Department of Family Medicine; Abu Dhabi; On-site; AED 300,000 - 600,000; Full time

Job summary

United Arab Emirates University (UAEU) invites applications for a faculty position in the Department of Computer Engineering within the College of Computing and Artificial Intelligence. We seek scholars with expertise in AI-driven systems, autonomous robotics, intelligent hardware, and real-world deployments.

The appointee will enhance research and teaching while securing external funding and fostering collaborations.

Qualifications

• PhD in computer engineering, computer science, systems engineering, or closely related field.
• Proven industry collaboration experience and success in R&D projects with external stakeholders.
• Strong publication record in reputable journals and top conferences.
• Evidence of or potential for obtaining competitive research funding.
• Excellence in teaching and student supervision at undergraduate and graduate levels.
• Ability to teach across computer and AI engineering and related areas.
• Strong collaboration and communication skills for interdisciplinary initiatives.

Responsibilities

• Build and advance a high-quality research program in AI-driven systems and intelligent hardware.
• Contribute to external research funding efforts and collaborations with UAEU and partners.
• Teach and supervise students across undergraduate and graduate programs.
• Contribute to interdisciplinary initiatives and departmental strategic priorities.

Skills

Industry collaboration

Teaching

Interdisciplinary collaboration

Education

PhD in computer engineering/computer science/systems engineering

Job description

Faculty Position in Computer and AI Engineering - All Ranks

The College of Computing and Artificial Intelligence (CCAI) at the United Arab Emirates University (UAEU) invites applications for a faculty position in the Department of Computer Engineering. We seek an outstanding scholar with expertise in AI-driven systems, autonomous systems, intelligent hardware, robotics, and drones/UAVs. The successful candidate will strengthen the Department’s research and teaching in areas of strategic 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

• 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.

Close Date

31/12/2026