Assistant/Associate Professor in Computer Vision & Robotics
Join MBZUAI to shape the future of embodied AI, robot learning, and world models in Abu Dhabi.
Best for:Best for robotics and computer vision researchers with experience in physical robotic platforms and embodied AI.
Overview
The Mohamed bin Zayed University of Artificial Intelligence invites applications for faculty positions at the Assistant or Associate Professor level in Computer Vision and Robotics, with a specific focus on embodied perception. The successful candidate will drive cutting-edge research in robot learning, world models, and physical robotic platform evaluation while engaging in interdisciplinary collaboration. Responsibilities include delivering high-level instruction, mentoring students, contributing to curriculum development, and partnering with industry and government stakeholders. The position offers competitive compensation, dedicated research resources, and state-of-the-art facilities in Abu Dhabi.
What you'll do
- Conduct innovative and impactful research in embodied perception, robot learning, and world models
- Evaluate AI and perception systems on physical robotic platforms
- Deliver high-quality instruction and participate in curriculum development
- Mentor and advise graduate students in their research and academic growth
- Collaborate with academic peers, industry partners, and government agencies on real-world AI challenges
Requirements
Degree required: PhD in Robotics or a related field in Computer Science or Engineering
Language: English
Instruction: English
Publications: Strong record of impactful research publications commensurate with experience level
- Demonstrated excellence in conducting innovative and impactful research in computer vision or robotics
- Specialized expertise in embodied perception, robot learning, or world models
- Hands-on experience evaluating AI systems on physical robotic platforms
- Strong publication record and academic credentials aligned with faculty appointment
- Must hold a completed PhD in Robotics, Computer Science, Engineering, or a closely related field prior to appointment
Funding & terms
How to apply
Deadline: 2027-06-30 (America/New_York)
Submit your application materials online through the designated portal. Ensure you include a cover letter, CV, research and teaching statements, and representative publications before the deadline.
- Cover letter
- Curriculum Vitae
- Research statement
- Teaching statement
- List of key publications
- Reference letters
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