Faculty position in Computational Science and Engineering, Geophysics, Computational Fluid Dynamics, Machine Learning | King Abdullah University of Science and Technology: Faculty Positions: Physical Science and Engineering Division (faculty)
Job Details:
Employer: King Abdullah University of Science and Technology
Title:
The Physical Science and Engineering Division comprises seven Degree Programs: Material Science and Engineering, Applied Physics, Earth Science and Engineering, Energy Resources and Petroleum Engineering, Chemistry, Chemical Engineering, and Mechanical Engineering. These disciplines provide the foundation for our Division’s quest to address some of the major challenges that we face in the world today, including those related to energy and the environment. Specifically, our faculty members and their research teams work on topics as diverse as: renewable energy, photovoltaics, porous materials for carbon capture and membranes, clean combustion, atmospheric modeling, new polymers and composite for smart materials and structures, catalysis and catalytic processes.
KAUST is an international graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the western shores of the Red Sea, KAUST offers superb research facilities, generous baseline research funding, and internationally competitive salaries, together with unmatched living conditions for individuals and families. More information about KAUST academic programs and research activities are available at:
Location:
King Abdullah University of Science and Technology
Thuwal 23955-6900
Kingdom of Saudi Arabia
Salary and Benefits:
Check on University Website
Application Deadline:
30 Sep 2025
Job Type:
Invited applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences:
- The candidate should have expertise in machine learning and computational methods applied to seismic imaging, inversion, earthquake monitoring, or subsurface characterization.
- The candidate should have expertise in simulation, prediction, and analysis of large-scale and complex fluid systems. Special emphasis will be directed toward incorporating high-performance computing, advanced algorithms, machine learning, and multiscale/multiphysics techniques into fluid systems of fundamental and industrial interest.
A Ph.D. in Geophysics, Computer Science, Applied Mathematics, or a closely related discipline is required.
Field:
King Abdullah University of Science and Technology
Documents Required:
Online
- a cover letter, introducing your candidacy, and explicitly stating both the position and the rank (Assistant, Associate, Full) that the candidate is applying for, is required. The rank must be consistent with the candidate experience,
- up-to-date curriculum vita which includes full publication list,
- statement of research interests,
- statement of teaching interests,
- a list of the names/affiliation and contact details of at least six potential referees,
- copies of most relevant publications (maximum of five),
- two citation reports (Web of Science and Scopus).
