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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can be found at www.kaust.edu.sa .
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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, KAUST has state-of-the-art equipment, research, and recreational facilities and record-breaking computational resources and welcomes exceptional researchers, faculty, and students from around the
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Modeling naturally fractured reservoirs is re-gaining interest in the Oil & Gas industry and academia for application in carbonate fractured reservoirs and unconventional reservoirs where natural fractures can play a key role on production performance. One of the persisting challenges is to...
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We invite applications for multiple Postdoc positions in the Accelerated Connected Computing Lab (ACCL) at KAUST! The new research group, supervised by Suhaib Fahmy explores hardware acceleration
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We seek a highly motivated Post-Doctoral Fellow to join MCEM (Mechanics of Composites for Energy and Mobility). As a key member of our organization, you will play a pivotal role in developing AI-inspired approaches for modeling, designing, and predicting the response of composite...
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rigorous 3D modeling tool to model multiphase fluid flow within the wellbore using a computational fluid dynamics (CFD) solvers, such as OpenFOAM and Ansys-fluent. The model should account for thermodynamics