Open-Rank Faculty Positions in Statistics and Data Science
Join MBZUAI’s Statistics and Data Science Area to advance AI-driven statistical theory and applications in a world-leading AI university.
Best for:Best for established researchers with a PhD in Statistics, Computer Science, or a related field, specializing in statistical foundations of machine learning and AI applications.
Overview
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) invites applications for open-rank faculty positions in Statistics and Data Science. The successful candidate will contribute to cutting-edge research in statistical learning theory, high-dimensional statistics, causal inference, and AI interpretability while teaching and mentoring students. The role emphasizes interdisciplinary collaboration with industry, government, and research institutions to solve real-world challenges. Faculty members will benefit from top-tier compensation, state-of-the-art research facilities, and opportunities to shape curriculum development. This position is ideal for innovative scholars bridging statistical theory and AI applications.
What you'll do
- Develop and teach high-quality courses in Statistics and Data Science, contributing to curriculum development
- Mentor and supervise students at both undergraduate and graduate levels
- Conduct cutting-edge research in statistical and probabilistic foundations of machine learning and AI
- Collaborate with industry partners, government agencies, and research institutions on AI-driven solutions
- Publish research findings in top-tier academic journals and conferences
- Engage in interdisciplinary research integrating statistical innovation with decision sciences, healthcare, and computational biology
Requirements
Degree required: PhD in Statistics, Computer Science, or a closely related field
Language: English; proficiency required for academic and research communication
Instruction: English
Publications: Three most significant publications from the past five years, including Google Scholar h-index
- Proven expertise in statistical learning theory or high-dimensional statistics
- Experience in causal inference or uncertainty quantification in AI
- Strong publication record in top-tier academic journals or conferences
- Ability to teach and mentor students effectively
- Experience in interdisciplinary research, particularly at the intersection of statistics and machine learning
- Open to all qualified candidates; no specific nationality or residency restrictions mentioned
- No age or prior experience caps specified
Funding & terms
How to apply
Deadline: 2027-06-30 (America/New_York)
Applicants must submit a cover letter, CV, statement of research vision, statement of teaching interests, list of three most significant publications with Google Scholar h-index, and contact details for three referees. Referees will be contacted separately to submit reference letters via Interfolio.
- Cover letter
- Curriculum Vitae
- Statement of research vision and interests
- Statement of teaching interests, experience, and philosophy
- List of three most significant publications from the past five years with Google Scholar h-index
- Name and contact details for three referees
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