Organization: King Abdullah University of Science and Technology (KAUST  https://www.kaust.edu.sa/)
Department/Division: Biological & Environmental Science & Engineering (BESE) Division
Location: Thuwal, Saudi Arabia

Position Overview
KAUST invites applications for a Postdoctoral Research Fellow position focused on data-driven machine learning within the Biological and Environmental Science & Engineering (BESE) Division. The successful candidate will develop and apply machine learning and statistical modeling approaches to address complex biological and environmental problems. This highly interdisciplinary role provides opportunities to collaborate with researchers across KAUST’s divisions, leveraging large-scale bioinformatics and environmental datasets.

Duration / Type of Position
Temporary postdoctoral research fellowship (open until filled)

Start Date
As soon as possible

Supervisor / Contact Person
Details available on the KAUST Postdoctoral Researcher Positions page (BESE Division listing)

Required Qualifications

• PhD in Computer Science, Statistics, Bioinformatics, or a closely related field
• Experience applying machine learning to biological or environmental data

Preferred / Desirable Qualifications

• Proven publication record in ML or data science
• Experience with large datasets (bioinformatics, climate, or ecological data)
• Strong programming skills (Python, R, or related languages)
• Ability to work effectively in interdisciplinary research teams

Application Materials

• Curriculum Vitae (including publication list)
• Cover letter or statement of interest
• Names and contact details of 2–3 referees

Application Deadline
Open until filled (applications reviewed on a rolling basis)

Salary and Benefits
Commensurate with KAUST postdoctoral fellowship terms; includes competitive salary and full benefits package

Application Link: 🔗 https://postdoc.kaust.edu.sa/ 🔗 https://postdoc.kaust.edu.sa/positions

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