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Open Rank Faculty Positions in Statistics and Data Science

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
Abu Dhabi, UAE
Full-time
Entry
Onsite
Discovered 2 weeks ago
StatisticsData scienceMachine learningStatistical learning theoryHigh-dimensional statisticsCausal inference

Full Job Posting

Role and research area

The Statistics and Data Science Area is part of MBZUAI’s Humanities, Social and Management Sciences Division.

Research emphasizes statistical and probabilistic foundations of machine learning and data science, computational methods for large-scale data, and scalable inference.

Research topics include statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness, and AI interpretability.

Interdisciplinary research may connect statistics with decision sciences, healthcare, climate science, and computational biology.

Faculty are sought at Assistant, Associate, and Full Professor levels.

Responsibilities

  • Deliver high-quality instruction, mentor students, and contribute to curriculum development.
  • Collaborate with AI researchers and potentially with industry partners, government agencies, and research institutions.

Qualifications

  • A PhD in Statistics, Computer Science, or a closely related field is required.
  • Applicants from all areas of statistics are encouraged, particularly those working at the intersection of statistics and machine learning.
  • The ideal candidate is an innovative scholar advancing statistical theory and its applications in AI-driven contexts.

Benefits and research environment

  • The university describes competitive salaries aligned with leading global academic institutions but gives no compensation amount or pay cadence.
  • Research support includes funding, academic freedom, AI labs, and high-performance computing facilities.
  • Benefits include health and life insurance and relocation support for international faculty.
  • The role offers opportunities for industry and government collaboration.

Application materials

  • Submit a cover letter, CV, research vision and interests statement, and teaching interests, experience, and philosophy statement.
  • Provide three significant publications from the past five years and a Google Scholar h-index.
  • Provide reference letters or names and contact details for three referees; referees may be contacted to upload letters through Interfolio.

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