Statistics and Data Science - Assistant Professor Tenure Track

Karlstad University; Abu Dhabi; On-site; AED 293,000 - 368,000; Full time

Job summary

A leading AI research university in Abu Dhabi is seeking an Assistant Professor for a tenure-track position in Statistics and Data Science. The ideal candidate will have a PhD in a related field and a strong potential in research and teaching. Responsibilities include mentoring students, developing curriculum, and conducting innovative research at the intersection of statistics and AI. Join a multicultural environment with top-tier compensation and benefits.

Benefits

Comprehensive health & life insurance

Relocation support for international faculty

State-of-the-art research facilities

Top-tier compensation

Qualifications

• Expected completion of PhD by Fall 2026.
• Innovative scholar with focus on statistics and machine learning.
• Strong potential in theoretical and applied statistics.

Responsibilities

• Contribute to high-quality instruction and mentor graduate students.
• Engage in interdisciplinary research in statistics and AI.
• Shape curriculum development and collaborate with top researchers.

Skills

Theoretical statistics

Applied statistics

Machine learning

Education

PhD in Statistics or Computer Science

Job description

Job details

Title: Statistics and Data Science - Assistant Professor Tenure Track

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is at the forefront of AI research, education, and innovation. Ranked in the top 10 in AI research and education, MBZUAI invites applications for a faculty position...

Location: Abu Dhabi, United Arab Emirates

Open Date: Aug 31, 2025

Deadline: Jul 31, 2026 at 11:59 PM Eastern Time

About MBZUAI

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multicultural environment. The Department of Statistics and Data Science focuses on the rigorous statistical and probabilistic foundations of machine learning and data science, with emphasis on computational methods for large-scale data and scalable inference techniques. Research areas include statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, and fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology. Faculty 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: Resources and academic freedom to foster groundbreaking AI advancements
• 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: A safe, culturally rich city with modern amenities
• Industry & Government Collaborations: Opportunity to work with top AI researchers, leading tech firms, and policymakers

Responsibilities

The Department 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 will have opportunities to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. The department focuses on rigorous statistical and probabilistic foundations of ML and data science, emphasizing computational methods for large-scale data and scalable inference. Current research areas include statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. Interdisciplinary research across decision sciences, healthcare, climate science, and computational biology is encouraged, including collaboration with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

Qualifications

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.

Application Instructions

To apply for this position, please submit the following:

• Statement of research vision and interests
• Statement of teaching philosophy and experience
• List of publications
• Up to three representative publications
• 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)

MBZUAI is an equal opportunity employer and is committed to fostering a diverse academic community. The university actively recruits faculty from around the world to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can submit all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination based on protected status and require affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, or national origin, as well as protected veteran status or disability.