Statistics and Data Science Assistant Professor Tenure Track

Mohamed Bin Zayed University Of Artificial Intelligence; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A premier AI education institution in Abu Dhabi is seeking an Assistant Professor in Statistics and Data Science. The successful candidate will focus on high-quality instruction, mentor graduate students, and engage in interdisciplinary research across statistics, data science, and artificial intelligence (AI). Ideal candidates will hold a PhD in Statistics or a related field and show strong potential in both theoretical and applied statistics. This role offers top-tier compensation, excellent benefits, and state-of-the-art research facilities.

Benefits

Competitive salaries

Comprehensive health & life insurance

Relocation support for international faculty

State-of-the-art research facilities

Opportunities for industry collaboration

Qualifications

• Strong potential in theoretical and applied statistics.
• Innovative scholarship advancing statistical theory applications in AI.
• Experience in interdisciplinary research.

Responsibilities

• Contribute to high-quality instruction and mentor graduate students.
• Shape curriculum development in Statistics and Data Science.
• Engage in interdisciplinary research at the intersection of statistics, data science, and AI.

Skills

Theoretical statistics

Applied statistics

Machine learning

Research collaboration

Education

PhD in Statistics or Computer Science

Job description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The Department of Statistics and Data Science invites applications for an Assistant Professor tenure-track faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development and engage 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. 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.

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
• State‑of‑the‑Art Research Facilities: Cutting‑edge AI labs and high‑performance computing
• Live in Abu Dhabi:Worlds safest city year‑round sunshine rich culture and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms and policymakers

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. The ideal candidate will be an innovative scholar advancing both statistical theory and its applications in AI‑driven contexts.