Mohamed Bin Zayed University of Artificial Intelligence
2 weeks ago
Postdoctoral Researcher in Statistics & Machine Learning Mohamed bin Zayed University of Artificial Intelligence in United Arab Emirates
Degree Level
Postdoc
Field of study
Computer Science
Funding
Fully funded two-year postdoctoral position with a competitive tax-free monthly salary, housing allowance, comprehensive medical insurance, annual return flight to the home country, and full visa application support.
Deadline
Nov 5, 2026
Country
United Arab Emirates
University
Mohamed Bin Zayed University of Artificial Intelligence
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About this position
Applications are invited for a fully funded two-year postdoctoral position in Statistics, Machine Learning, or a closely related field at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). The position is supervised by Prof. Souhaib Ben Taieb and is based in Abu Dhabi, United Arab Emirates.
The research focus includes modern statistics and machine learning, with possible topics such as probabilistic machine learning, decision-focused uncertainty quantification, conformal prediction, tabular foundation models, and time-series forecasting. Candidates with strong backgrounds in statistics, machine learning, artificial intelligence, or data science are encouraged to apply, especially those interested in developing new methods, theoretical analysis, and empirical evaluation.
The role includes collaboration with academic and industry partners, publishing in top-tier conferences and journals, and mentoring graduate students and junior researchers. MBZUAI highlights a competitive academic environment, strong research collaborations, and benefits including a tax-free monthly salary, housing allowance, comprehensive medical insurance, annual return flight to the home country, and visa application support.
Eligibility highlights: a PhD in Applied Mathematics, Computer Science, Statistics, Machine Learning, Data Science, or a closely related field; strong research and publication record; programming proficiency (e.g. Python); and excellent English communication skills. Preferred experience includes reproducible research software, large-scale computational experiments, modern ML frameworks, and multidisciplinary or international collaboration.
How to apply: submit a cover letter, CV, Google Scholar profile link, a 1–2 page research statement on AI and weather forecasting, and the names/contact details of three referees. The deadline shown is 2026-11-05.
Funding details
Fully funded two-year postdoctoral position with a competitive tax-free monthly salary, housing allowance, comprehensive medical insurance, annual return flight to the home country, and full visa application support.
What's required
PhD in Applied Mathematics, Computer Science, Statistics, Machine Learning, Data Science, or a closely related field; strong research background in statistics, machine learning, artificial intelligence, data science, or a related area; proficiency in programming (e.g. Python) and experience with commonly used machine-learning and AI tools; strong publication record in leading conferences or journals; excellent English communication skills, both oral and written; ability to work independently and collaboratively. Preferred: advanced training in a relevant area, experience developing reproducible research software or large-scale computational experiments, familiarity with modern machine-learning frameworks and scientific-computing tools, and experience in multidisciplinary or international collaborations.
How to apply
Prepare a cover letter, CV, Google Scholar profile link, 1–2 page research statement on AI and weather forecasting, and contact details for three referees. Submit via the application link provided in the posting.
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