Assistant/Associate Professor Faculty Positions in Computer Vision & Robotics - Embodied Perception

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence); Abu Dhabi; On-site; AED 650,000 - 900,000; Full time

Benefits offered by this job

Comprehensive health & life insurance

Relocation support for international &

Job summary

MBZUAI in Abu Dhabi invites applications for Assistant/Associate Professor positions in Computer Vision & Robotics with a focus on embodied perception. The successful candidate will teach, mentor students, and help shape a cutting-edge curriculum while collaborating with industry and government partners.

We seek researchers working on embodied AI, robot learning, and world models who can advance robotics perception on physical platforms and guide students through innovative courses and projects

Qualifications

• PhD in Robotics or related field in Computer Science or Engineering.
• Demonstrated excellence in conducting innovative and impactful research.
• Passion for mentoring students.

Responsibilities

• Deliver high-quality instruction and mentoring of students.
• Contribute to curriculum development and course design.
• Collaborate with industry partners, government agencies, and other researchers.
• Develop and lead AI-related research projects in embodied perception and robotics.

Skills

Embodied AI

Robot learning

World models

Mentoring

Education

PhD in Robotics or related field (CS/Engineering)

Job description

Computing and Mathematical Sciences Division - Assistant/Associate Professor Faculty Positions in Computer Vision & Robotics - Embodied Perception

Deadline

Jun 30, 2027 at 11:59 PM Eastern Time

Description

The Computer Vision and Robotics Area within the Division of Computing and Mathematical Sciences at MBZUAI invites applications for a faculty position focused on embodied perception, robot learning, and world models. We seek candidates whose research advances the ability of embodied AI systems to perceive, learn, and interact with their environments, with demonstrated experience evaluating these systems on physical robotic platforms.

We encourage interdisciplinary collaboration across AI and related fields. Faculty members will have opportunities to collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

The successful candidate will be responsible for delivering high-quality instruction, mentoring of students, contributing to curriculum development, and will also have the opportunity to collaborate with leading AI researchers. We are seeking faculty at Assistant / Associate Professor Levels.

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is a world-leading university dedicated to advancing AI as a global force for good. The UAE's visionary leaders established MBZUAI to educate and develop top talent, conduct advanced research, foster aninnovationecosystem, and act as a strategic think tank for the public and private sectors.

The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond. Our groundbreaking academic research initiatives are developing future solutions that will impact the world and change the way we imagine things.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institution
• Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.
• Exceptional Benefits:
  • Comprehensive health & life insurance
  • Relocation support for international faculty
• BuildState-of-the-Art Research Facilities:Cutting-edgeAI labs and high-performance computing
• Live in Abu Dhabi: World's safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

Qualifications

This position requires a PhD in Robotics or a related field in Computer Science or Engineering. Candidates should have demonstrated excellence in conducting innovative and impactful research, and passion for mentoring students.