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world for citations per faculty according to QS rankings and offers an unparalleled environment for innovation and research. For more information, visit www.kaust.edu.sa . About CREST The Center for Renewable Energy
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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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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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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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intelligence framework for RO systems. Candidates with background in conventional and innovative membrane-based technologies with data driven modeling approach are encouraged to apply for this position. We
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world. Please visit www.kaust.edu.sa for more information.
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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achievement that will benefit the region and the world, KAUST has the mission of exemplifying the future of world-class research. More details are available at www.kaust.edu.sa . For more information, see the
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predictors and interpreters for maps of damage and/or other fields, ensuring physics-based predictive maintenance. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals
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the integrity of compressed storage solutions. Plan and execute research tasks, analyzing data, publishing findings in peer-reviewed journals, and presenting research at scientific conferences. May participate in