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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Are you passionate about organic electronic materials and doped conjugated polymers, and how they connect processing, microstructure, and electrical performance? Prof. Derya Baran ’s research group OmegaLab at KAUST is looking for a researcher to help drive projects on doped conjugated...
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reconstruction, ligand engineering, precursor chemistry, energetic band alignment, low-trap-density CQD solids, and novel infrared photodetector architectures. The first position focuses on CQD synthesis and
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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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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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with a strong background in experimental mechanics, composite materials, structural engineering, or a related field. Experience in mechanical testing, experimental characterization, and non-destructive
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9 Sep 2026 Job Information Organisation/Company KAUST Department Physical Science and Engineering Division Research Field Chemistry » Physical chemistry Engineering » Materials engineering Physics
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. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits. The position will combine techniques from geological modelling, geostatistics, machine learning, and
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Position Type: Full-time, fixed-term (2–3 years) About KAUST King Abdullah University of Science and Technology (KAUST) is a graduate-level research institution dedicated to advancing science and technology