Computing And Mathematical Sciences Division - Open Rank Faculty Positions In Computer Vision

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence); Abu Dhabi; On-site; AED 260,000 - 380,000; Full time

Benefits offered by this job

Top-tier compensation

Research funding

Health & life insurance

Relocation support

State-of-the-art facilities

Job summary

MBZUAI invites applications for faculty positions in computer vision, spanning 3D vision, medical CV, multimodal models, video understanding, embodied and robot vision, and Earth observation.

Applicants at Assistant, Associate, and Full Professor levels are welcome. MBZUAI offers competitive compensation, robust funding, relocation support, and world-class facilities in Abu Dhabi to advance AI research with industry and government partners.

Qualifications

• PhD in computer vision or related field is required.
• Proven record of impactful research and high-quality publications in top venues.
• Experience mentoring students and leading a research group is desirable.

Responsibilities

• Teach and mentor students at all levels.
• Develop and deliver curriculum for computer vision courses.
• Lead and manage a research group with successful grant funding.
• Collaborate with industry, government, and other researchers to advance AI.

Skills

Teaching experience

Mentoring students

Interdisciplinary collaboration

Strong publication record

Education

PhD in Computer Vision or closely related field

Job description

Job Description:

Description

The Computer Vision Area within the Division of Computing and Mathematical Sciences at MBZUAI invites applications for faculty positions in computer vision. We welcome candidates in all areas of computer vision, especially 3D vision and geometric learning, medical computer vision, multimodal and vision-language models, video understanding, embodied and robot vision, and Earth observation. 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.

Faculty responsibilities include teaching, student mentoring, and curriculum development.Applications are invited at the Assistant, Associate, and Full Professor levels.

Mohamed bin Zayed University of ArtificialIntelligence (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 willimpactthe 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:
  • Comprehensivehealth & life insurance
  • Relocation supportfor 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 Computer Vision or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, a strong publication record in top computer vision and machine learning venues, and an interest in mentoring students. Candidates at the Associate and Full Professor levels should also have a record of securing research funding and leading a research group.