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(variational multiscale, multiscale finite elements, etc.), structure preserving numerical methods, stochastic optimization, analysis of machine learning methodologies, multilevel methods, scale-bridging and
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measurements, and load measurements. Proficiency in computational methods, such as finite element analysis (FEA) and computational fluid dynamics (CFD). Experience with data acquisition and analysis using
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metal-organic frameworks, 2D/hierarchical structures, nanoparticles, single-atom catalysts), analytical instrumentation (including electronics and LabVIEW FPGA programming), finite element modelling using
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to electrochemical engineering, ideally a mix of computational and experimental methods. Emphasis will be on selecting candidates with prior experience with computational methods. Prior experience with Finite Element