in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence (AI).

Faculty members at MBZUAI have the unique opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. Our rapidly growing institution is positioned as a global leader in AI, providing a vibrant academic environment and outstanding research support.

The Department of Statistics and Data Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current research includes areas such as statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: MBZUAI empowers researchers with resources and academic freedom
• 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 Statistics, Computer Science or a closely related field or expected completion by Fall 2026. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning.

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, Up to three representative publications, Name and contact details for three referees.

in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence (AI).

Faculty members at MBZUAI have the unique opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. Our rapidly growing institution is positioned as a global leader in AI, providing a vibrant academic environment and outstanding research support.

The Department of Statistics and Data Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current research includes areas such as statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: MBZUAI empowers researchers with resources and academic freedom
• 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 Statistics, Computer Science or a closely related field or expected completion by Fall 2026. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning.

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, Up to three representative publications, Name and contact details for three referees.