Postdoctoral Researcher in Statistics and Machine Learning
Join MBZUAI’s Computing & Mathematical Sciences Division for a two-year postdoctoral role in cutting-edge statistics and machine learning research.
Best for:Best for postdoctoral researchers with a PhD in statistics, machine learning, or a related field, seeking to advance their expertise in probabilistic modeling, uncertainty quantification, or time-series forecasting while collaborating in a high-impact AI research setting.
Overview
This fully funded postdoctoral position at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi focuses on advancing research in modern statistics, machine learning, and related fields. Under the supervision of Prof. Souhaib Ben Taieb, the successful candidate will develop innovative statistical and machine-learning methods, publish in top-tier venues, and collaborate with leading academic and industry partners. The role emphasizes both theoretical rigor and empirical validation, with a strong emphasis on interdisciplinary applications. The position offers a competitive tax-free salary, comprehensive benefits, and full visa support, making it ideal for researchers seeking to contribute to AI-driven solutions in a dynamic international environment.
What you'll do
- Conduct original research in modern statistics, machine learning, or related fields, including theoretical analysis and empirical validation of new methods.
- Develop and evaluate innovative statistical or machine-learning algorithms, ensuring reproducibility and scalability.
- Publish research findings in leading conferences and journals, and present results to both technical and non-technical audiences.
- Collaborate with research group members, academic partners, and industry collaborators to advance shared research projects.
- Mentor and support graduate students and junior researchers as needed, fostering a collaborative research environment.
- Contribute to ongoing projects and shared research resources, leveraging interdisciplinary expertise.
Requirements
Degree required: PhD in Applied Mathematics, Computer Science, Statistics, Machine Learning, Data Science, or a closely related field
Language: English; proficiency required for research communication and collaboration
Instruction: English
Publications: Strong publication record in leading conferences or journals
- Strong research background in statistics, machine learning, or artificial intelligence
- Proficiency in programming (e.g., Python) and experience with machine-learning frameworks
- Experience developing reproducible research software or conducting large-scale computational experiments
- Strong publication record in leading conferences or journals
- Excellent English communication skills (oral and written)
- Open to international applicants (visa support provided)
- No age or residency restrictions mentioned
- No prior experience caps specified
Funding & terms
How to apply
Deadline: 2026-11-05
Applicants must submit a cover letter, CV, Google Scholar profile link, a 1–2 page research statement outlining AI and weather forecasting directions, and three referee contact details via the university’s external application portal.
- Cover letter
- Curriculum Vitae (CV)
- Link to Google Scholar profile
- 1–2 page research statement (AI and weather forecasting focus)
- Three referee contact details
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