Assistant Professor Tenure Track Positions in Statistics and Data Science

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence); Abu Dhabi; On-site; AED 300,000 - 520,000; Full time

Benefits offered by this job

Relocation support for internationalf

State-of-the-art research facilities

Competitive salaries

Industry & government collaborations

Job summary

MBZUAI in Abu Dhabi invites applications for an Assistant Professor (tenure-track) in Statistics and Data Science. The role focuses on rigorous statistical foundations for ML and data science, with opportunities for interdisciplinary collaboration with industry and government partners.

The successful candidate will teach, mentor students, and contribute to curriculum development while advancing statistical theory and AI-driven applications.

Qualifications

• PhD in Statistics, CS, or related field by Fall 2027.
• Applicants working at the intersection of statistics and ML encouraged.
• Innovative scholar with contributions to theory and AI applications.

Responsibilities

• Deliver high-quality instruction at the graduate level.
• Mentor students and contribute to curriculum development.
• Collaborate with leading AI researchers and industry partners.

Skills

Statistical theory

Machine learning

Research collaboration

Education

PhD in Statistics, Computer Science, or closely related field

Job description

Computing and Mathematical Sciences Division – Assistant Professor Tenure Track Positions in Statistics and Data Science

Location

Abu Dhabi, United Arab Emirates

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 willbe responsible fordelivering high-quality instruction, mentoring of students, contributing to curriculum development, and will alsohave the opportunity tocollaborate 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:
• Comprehensivehealth & life insurance
• Relocation supportfor 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 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.