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Statistics and Data Science - Assistant Professor Tenure Track

Institute of Mathematical Statistics

Abu Dhabi

On-site

AED 120,000 - 200,000

Full time

6 days ago
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Job summary

A leading institution in AI in Abu Dhabi is seeking a tenure-track Assistant Professor in Statistics and Data Science. The successful candidate will engage in high-quality teaching, conduct interdisciplinary research, mentor students, and contribute to curriculum development. Ideal for innovative scholars with a PhD in a related field. Exceptional benefits and competitive salary offered.

Benefits

Competitive salary
Comprehensive health & life insurance
Relocation support
State-of-the-art research facilities

Qualifications

  • Strong potential in theoretical and applied statistics.
  • Ability to mentor graduate students.
  • Experience in shaping curriculum development.

Responsibilities

  • Contribute to high-quality instruction.
  • Engage in interdisciplinary research in AI.
  • Collaborate with industry and government.

Skills

Research potential in statistics
Teaching expertise
Interdisciplinary collaboration
Innovative scholarship
Statistical theory application

Education

PhD in Statistics, Computer Science or related field
Job description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The Department of Statistics and Data Science invites applications for an Assistant Professor tenure-track 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 unique opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. Our rapidly growing institution is positioned as a global leader in AI, providing a vibrant academic environment and outstanding research support.

The Department of Statistics and Data Science 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.

Why Join MBZUAI?

  • Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
  • Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry
  • Exceptional Benefits:
    - Comprehensive health & life insurance
    - Relocation support for international faculty
  • State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
  • Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities
  • Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2026. 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.

To apply for this position, please submit the following:

  1. Cover letter
  2. Curriculum Vitae
  3. Statement of research vision and interests
  4. Statement of teaching philosophy and experience
  5. List of publications
  6. Up to three representative publications
  7. Name and contact details for three referees (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letter via Interfolio)
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