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Field
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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assimilation, utilizing numerical models and their output datasets. 2. Research and development of methodologies for optimizing the spatial deployment of observation sites and evaluating observational parameters
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for fluid dynamics, mixing, and reaction kinetics in the CSTR. Implement advanced numerical schemes and perform high-resolution CFD simulations of two-phase flow. Optimize impeller geometry and reactor design
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring
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. The researcher will also design data-driven numerical approaches to address a variety of real-life optimization models including disaster and emergency logistics, supply chain and transportation. Specific
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at the intersection of numerical linear algebra and advanced HPC. The candidate will join an international environment, with opportunities to collaborate with experts from the USA, and KAUST and publish in top-tier
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or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover
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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
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, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated
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industry. Our photonics research lab has set modern tools for the design, testing, and optimization of photonic circuits. It is open for collaboration with researchers with a background in basic research