32 phd-in-enhanced-oil-recovery uni jobs at King Abdullah University of Science and Technology

CFD for multiphase fluid flow and transport in oil wells

Wells are commonly used in various industries, such are geothermal, hydrology, CO2 and gas storage, oil&gas and others. Wells consist of non-uniform tubings with long and complex trajectories

Faculty Position in Synthetic Approaches for Resource Recovery

The Environmental Science and Engineering (EnSE) Program in the Biological and Environmental Science and Engineering (BESE) Division at KAUST has established research strength in several areas to address the challenges of the 21st century.  We educate and train students to work on world’s most...

Faculty Positions in Sustainability Science and Engineering

storage) raw material recovery and recycling water technologies technologies for achieving net-zero emissions life cycle analysis and modeling for sustainability We particularly encourage applications from

Internship, MS/PhD, PhD, Postdoc and Research Scientist Positions in the Optimization and Machine Learning Lab led by Prof Peter Richtarik at KAUST

Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...

Faculty position in polymer chemistry, reaction engineering, and processing

comprises seven Degree Programs: Applied Physics, Chemical Engineering, Chemistry, Earth Science and Engineering, Energy Resources and Petroleum Engineering, Materials Science and Engineering, and Mechanical

Faculty position in computational science and engineering in materials, energy, and chemical processes

Petroleum Engineering, Materials Science and Engineering, and Mechanical Engineering. These disciplines provide the foundation for Division's quest to address some of the major challenges that we face in

RESEARCH TECHNICIAN IN SENSING DEVICES FOR COMPOSITES

on monitoring composites in the Energy sector (high temperature, high pressure, Oil & Gas, Hydrogen). Define and execute integration of sensing concepts on practical benchmarks. Support ENERCOMP Research

Faculty position in Air Pollution and Atmospheric Chemistry

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

Pore-Scale modeling for NMR and PC measurements using Random-Walk, Finite-Elements and Machine-Learning

. This technology has enabled major advances in the oil & gas industry related to exploration, reservoir characterization, and management. However, its capability is not fully exploited. The objective of this project

Remote Data Scientist

scientists to transition into academic research and use their skills to address real-world challenges. The initial appointment will be project-based, with the possibility of extension or advancement to a PhD