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Research Faculty Position in Statistics

King Abdullah University of Science and Technology: Faculty Positions: Computer, Electrical and Mathematical Science and Engineering Division (faculty): Statistics (faculty)

Location

KAUST, Saudi Arabia

Open Date

Feb 26, 2026

Deadline

Mar 28, 2026 at 11:59 PM Eastern Time

Description

The Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology (KAUST) invites applications for a faculty position in the Statistics Program (STAT), at the rank of Research Assistant Professor or Research Associate Professor. The Statistics Program at KAUST educates students to analyze and model complex real-world problems arising in modern Statistical Data Science. We welcome applications in Artificial Intelligence, Anomaly Detection, and Intelligent Monitoring of Industrial and Environmental Systems focuses on advancing data-driven and model-based methods for fault detection, predictive maintenance, and process monitoring. The successful candidate will conduct research in data-driven and model-based methods for fault detection, predictive maintenance, and process monitoring, with applications in renewable energy, water and desalination systems, and industrial processes. The position involves developing advanced methods in machine learning, deep learning, multivariate statistical analysis, and explainable AI, and collaborating with academic and industrial partners.

Due to the high volume of applications received, only those submitted through the online Interfolio form will be considered. Applications will close on March 22, 2026.

Women and members of traditionally underrepresented minority groups are particularly encouraged to apply.

A successful candidate will be expected to contribute to research projects, supervise graduate students, publish in high-impact journals, and teach relevant courses at the graduate level. Faculty members enjoy secure research funding from KAUST commensurate with their level of experience and have opportunities for additional funding through several sources provided directly by KAUST, and through external sources including government organizations and industry.

KAUST (https://www.kaust.edu.sa) is an international, graduate-only research university, located on the shores of the Red Sea in Saudi Arabia. It has a diverse international community, with English as the official language. KAUST offers superb research facilities, including the upcoming Shaheen-3 supercomputer and a large-scale virtual reality installation; generous assured research funding; and internationally competitive salaries. KAUST attracts top international faculty, scientists, engineers and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges. KAUST ranked 1st globally for citations per faculty for six consecutive years, was ranked the 1st University under 20 years old, and 7% of its faculty are listed as highly cited researchers (according to Clarivate). KAUST provides full financial support to its students, covering tuition, accommodation, and a living stipend. Additionally, it strives to drive regional innovation and economic development through its technology commercialization arm and numerous spin-off startups.

KAUST’s award-winning campus has everything you need to live, work, study, and play. Designed to inspire and motivate our faculty, students and staff and their families to maintain an active lifestyle, KAUST is more than a university. With state-of-the-art fitness facilities, a golf course, numerous fine dining and casual fare restaurants, an Elementary and a Secondary school and the Red Sea just steps away, there is something for everyone (https://www.kaust.edu.sa/en/live).

Qualifications

We are particularly interested in candidates with educational backgrounds from distinguished institutions of higher learning or those who have previously contributed to such institutions. Ideal candidates will possess a Ph.D. in Statistics or a related field, exceptional research potential, the ability to attract external research funding, and a strong dedication to teaching. We offer competitive compensation, comprehensive employment benefits, and access to ample research funding opportunities to address industry-relevant projects. At KAUST, we embrace diversity and encourage applications from female faculty candidates. We are committed to cultivating a diverse faculty body and contributing to our vibrant academic community.

Application Instructions

You will be required to complete an application form and upload the following materials:

  • A complete curriculum vitae with a list of publications (and links to those)
  • Research statement and a teaching statement;
  • The names and contact information of at least 3 (and preferably 5) references.

If more information is needed, please contact prof. Daniele Boffi, Associate Dean for Faculty, at the address below

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 send all application materials, including confidential letters of recommendation, free of charge.

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