Open Rank Faculty Positions in Statistics and Data Science

Mohamed bin Zayed University of Artificial Intelligence; Abu Dhabi; Vor Ort; AED 350.000 - 520.000; Vollzeit

Benefits dieser Stelle

Comprehensive health & life insurance

Relocation support for international/f

State-of-the-Art AI labs and HPC

Live in Abu Dhabi

Zusammenfassung

MBZUAI invites applications for Open Rank Faculty Positions in Statistics and Data Science in Abu Dhabi. We seek scholars across all ranks who advance statistical theory and AI-driven applications, with an emphasis on interdisciplinary research and collaboration with industry and government partners.

The successful candidate will teach, mentor students, contribute to curriculum development, and collaborate with leading AI researchers to build impactful solutions.

Qualifikationen

• PhD in Statistics, Computer Science, or closely related field. Applicants from all areas of statistics are encouraged to apply, especially intersecting statistics and machine learning.

Aufgaben

• Deliver high-quality instruction to diverse student cohorts.

Kenntnisse

Statistical theory

Machine learning

Interdisciplinary collaboration

Ausbildung

PhD in Statistics, Computer Science, or closely related field

Jobbeschreibung

Humanities, Social and Management Sciences Division - Open Rank Faculty Positions in Statistics and Data Science

Location: Abu Dhabi, United Arab Emirates

Open Date: Sep 18, 2026

Deadline: Jun 30, 2027 at 11:59 PM Eastern Time

The Statistics and Data Science Area within the Division of Humanities, Social and Management Sciences at Mohamed bin Zayed University of Artificial Intelligence (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. We are seeking faculty at all levels (Assistant, Associate, Full Professor).

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. 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.