Statistics and Data Science
Description
Job details Title: Statistics and Data Science - Associate/Full Professor Tenured Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is at the forefront of AI research, education, and innovation. Ranked in the top 10 in AI Re... MBZUAI is on a mission to become a global leader in artificial intelligence. Location: Abu Dhabi, United Arab Emirates Open Date: Aug 01, 2025 Deadline: Jul 31, 2026 at 11: 59 PM Eastern Time Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) invites applications for Associate / Full Professors for a 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 opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI's mission of AI excellence. Our institution emphasizes computational methods for large-scale data and scalable inference techniques, with current research including statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI, and interdisciplinary collaboration with healthcare, climate science, and computational biology. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Funding: Resources and academic freedom to foster AI advancements Benefits: Comprehensive health & life insurance Relocation support for international faculty State-of-the-Art Research Facilities Live in Abu Dhabi: World's safest city, year-round sunshine, culture, and modern amenities Industry & Government Collaborations Responsibilities Contribute to high-quality instruction at the undergraduate, graduate, and Ph D levels Mentor graduate students and supervise research activities Shape curriculum development within the Department of Statistics and Data Science Engage in interdisciplinary research at the intersection of statistics, data science, and AI Collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges Qualifications This position requires a Ph D 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: Statement of research vision and interests Statement of teaching philosophy and experience List of publications Up to three representative publications Name and contact details for three referees (referee letters uploaded via Interfolio; letters are collected at a later stage of the process) MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world to create an international and inclusive environment that reflects a wide range of cultures and perspectives. Equal Employment Opportunity Statement Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination based on protected veterans status or disability, and prohibit discrimination based on race, color, religion, sex, or national origin. Covered prime contractors and subcontractors are to take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability. #J-18808-Ljbffr
Posted: 29th November 2025 11.57 pm
Application Deadline: N/A
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