61 cloud-computing-phd-student positions at King Abdullah University of Science and Technology
Sort by
Refine Your Search
-
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
-
, scripting, backup, monitoring and automation skills are required. This is a highly technical role requiring high performance computing (HPC) or large scale computing experience, in complex environments.
-
-supervise master and Ph.D. students. Support the PI with grant proposals and coordinate collaborations Flexibility to adjust to changing schedules and tasks as needed Perform other tasks assigned by the PI
-
We use cookies which are necessary to make our site work. We may also use additional cookies to analyse, improve and personalise our content and your digital experience. For more information, see our Cookie Policy and the list of Google Ad-Tech Vendors . You may choose not to allow some types of...
-
The wire-line nuclear magnetic resonance (NMR) tool is a well-borehole logging technology that is routinely used for exploration and reservoir characterization. NMR logging is a fast imaging technology that can be applied while drilling within the wellbore to provide various spatially continuous...
-
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...
-
One postdoctoral position is currently available at King Abdullah University of Science and Technology (KAUST) for a collaborative project with a starting date of April 1, 2020. The candidate will be involved in the three-year project “High Dimensional Hierarchical Optimization methods for...
-
, energy, environment and the digital domain. KAUST is a curiosity-driven, interdisciplinary problem-solving environment, with state-of-the-art labs, distinguished faculty and talented students. KAUST brings
-
, interdisciplinary problem-solving environment, with state-of-the-art labs, distinguished faculty and talented students. KAUST brings together the best minds from around the world to advance research. More than 120
-
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