Instructor Position In Computer And AI Engineering

Job Description

The College of Computing and Artificial Intelligence (CCAI) at the United Arab Emirates University (UAEU) invites applications for an instructor position in the Department of Computer and AI Engineering. We seek a qualified instructor with expertise in drone and UAV technologies, autonomous systems, and robotics to support undergraduate teaching and laboratory instruction. The successful candidate will also contribute to teaching in computer and AI engineering, networking, embedded systems, and related areas. The instructor will teach courses and conduct laboratories in areas such as drone and UAV systems, autonomous navigation, robotics, sensing and perception, digital design, embedded systems, computer architecture, programming, computer networks, computer vision, and intelligent systems. Other responsibilities may include developing laboratory activities, supervising student projects, supporting assessment, and contributing to course and curriculum development. Minimum Qualifications =============== - A master’s degree in computer engineering, computer science, artificial intelligence, robotics, electrical engineering, systems engineering, or a closely related field from a recognized institution. - Sufficient knowledge of computer engineering and artificial intelligence to support undergraduate teaching and laboratory instruction. - Strong communication, collaboration, and organizational skills. - Commitment to student success and academic quality. Preferred Qualifications ============== - Academic or professional experience in drone and UAV technologies, autonomous systems, and robotics. - Knowledge of autonomous navigation, sensing and perception, robotic control, computer vision, embedded systems, digital design, computer architecture, and computer networks. - Hands-on experience with drones/UAVs, robotic platforms, embedded systems, digital design tools, networking technologies, engineering software, or related laboratory equipment. - Experience teaching or supervising student projects in drones, autonomous systems, robotics, artificial intelligence, or networking. - Research experience or scholarly publications. Research is an advantage but is not required. The position is primarily teaching-focused, with responsibilities centered on course delivery, laboratory instruction, student support, assessment, and related departmental activities. Opportunities to participate in research and scholarly activities may be available. 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

• A master’s degree in computer engineering, computer science, artificial intelligence, robotics, electrical engineering, systems engineering, or a closely related field from a recognized institution. - Sufficient knowledge of computer engineering and artificial intelligence to support undergraduate teaching and laboratory instruction. - Strong communication, collaboration, and organizational skills. - Commitment to student success and academic quality.
  
  

Preferred Qualification

• Academic or professional experience in drone and UAV technologies, autonomous systems, and robotics. - Knowledge of autonomous navigation, sensing and perception, robotic control, computer vision, embedded systems, digital design, computer architecture, and computer networks. - Hands-on experience with drones/UAVs, robotic platforms, embedded systems, digital design tools, networking technologies, engineering software, or related laboratory equipment. - Experience teaching or supervising student projects in drones, autonomous systems, robotics, artificial intelligence, or networking. - Research experience or scholarly publications. Research is an advantage but is not required.
  
  

Close Date Kindly apply before the closing date.

31/01/2027

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