Open Rank Faculty Positions in Statistics and Data Science

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence); Abu Dhabi; On-site; AED 180,000 - 240,000; Full time

Benefits offered by this job

Comprehensive health & life insurance

Relocation support for international

Job summary

MBZUAI invites applications for open rank faculty positions in Statistics and Data Science within the Humanities, Social and Management Sciences Division in Abu Dhabi. The role focuses on teaching, mentoring, and curriculum development, with opportunities to collaborate with leading AI researchers.

We welcome candidates at all levels (Assistant, Associate, Full Professor) who bridge statistics and machine learning and who can contribute to interdisciplinary AI-driven research with industry and

Qualifications

• Deliver high-quality instruction and mentor students.
• Contribute to curriculum development and collaborate with AI researchers.
• Open rank positions: Assistant, Associate, or Full Professor.

Responsibilities

• Deliver high-quality instruction and mentor students.
• Contribute to curriculum development and collaborate with AI researchers.
• Collaborate with colleagues across MBZUAI and industry on AI research.

Skills

Teaching

Mentoring

Curriculum development

Interdisciplinary collaboration

Education

PhD in Statistics, Computer Science, or closely related field

Job description

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

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

Description

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