innovation with decision sciences, healthcare, climate science, and computational biology. Faculty members will have ample 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.
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 an innovation ecosystem, 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 working on 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 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
- Build 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 Statistics, Computer Science, or a closely related field or expected completion by Fall 2027. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.
Application Instructions
To apply for this position, please submit the following items:
- Cover Letter
- Curriculum Vitae
- Statement of research vision and interests
- Statement of teaching interests, experience, and philosophy
- List of your three most significant publications from the past five years, along with your Google Scholar h-index
- Reference Letters or Name and contact details for three referees (Referees will be contacted during the recruitment process to upload their reference letter via Interfolio).
Application Review: Review of applications will begin shortly after November 1, 2026. Applications received by November 1, 2026 will receive full consideration. Applications received after this date will continue to be reviewed on a rolling basis until the positions are filled.
