Requirements
This position requires a PhD in Statistics, Computer Science, or a closely related field. Applicants should have expertise in statistical theory and its applications in AI-driven contexts, with a focus on computational methods and scalable inference. Responsibilities include teaching, mentoring students, and contributing to curriculum development.
Description
Job description / Role
Job Type
Full Time
Job Location
Abu Dhabi, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Education & Teaching
Company Industry
Education & Training
Computing and Mathematical Sciences Division - Associate/Full Professor Tenured Positions in Statistics and Data Science
Mohamed bin Zayed University of Artificial Intelligence: Divisions: Computing and Mathematical Sciences: Faculty Appointments
Location
Abu Dhabi, United Arab Emirates
Open Date
Aug 26, 2026
Deadline
Jun 30, 2027 at 11:59 PM Eastern Time
Description
The Statistics and Data Science Area 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. 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 and 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 and 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. 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 from three referees (Referees will be contacted during the recruitment process to upload their reference letter via the designated system)
Apply Now