Computer Vision - Associate/Full Professor Tenured

Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Computer Vision

Location

Abu Dhabi, UAE

Open Date

Sep 01, 2025

Deadline

Jul 31, 2026 at 11:59 PM Eastern Time

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.    

The Department of Computer Vision is expanding and invites Associate/Full Professor faculty to apply. The Department of Computer Vision undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to, visual recognition and tracking, vision and language, large multimodal models, generative AI, responsible AI, 3D vision and SLAM. Applications ofcomputer vision that we target include: robotic vision and embodied AI; metaverse; environment and sustainability; inspection.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• 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
• State-of-the-Art Research Facilities: Cutting-edge AI 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. We are seeking faculty in areas such as 3D computer vision, robotic vision, medical vision, and trustworthy and responsible AI. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.

Application Instructions

To apply for this position, please submit the following: 

• Cover letter
• Curriculum Vitae
• Statement of research vision and interests
• Statement of teaching philosophy and experience 
• List of publications
• Name and contact details for three referees will be requested at a later stage of the recruitment process. (reference letters from applicants will not be accepted, each referee willbe contact to upload their reference letters via Interfolio)

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Be a part of AI’s future – apply today at MBZUAI! 

#MBZUAI #careeropportunities #AI

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.