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MBZUAI in Abu Dhabi invites applications for associate or full professor positions in Statistics and Data Science. The role emphasizes rigorous statistical foundations for ML and scalable inference, with opportunities to collaborate across AI disciplines and with industry and government partners.
The successful candidate will teach, mentor, and contribute to curriculum development while advancing AI-driven research in a globally renowned academic environment.
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.
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.