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Field
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computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real
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uniaxial creep tests (tension, compression) and comparing the results Characterization of the microstructure–property relationship using optical microscopy, SEM and EBSD Correlation of microstructure and
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polarization and the impact on catalytic reactivity. The research tasks include: synthesis and structural design of heteroatom-doped carbons and single-atom active sites in carbon matrices, structural
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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fundamental and applied contexts. Using state-of-the-art laboratory facilities, we advance understanding of turbulent incompressible, compressible, and multiphase flows through coordinated research
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techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good knowledge of possible errors. hands-on experience with alloy design strategies, including high-throughput
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techniques such as SEM, TEM, XRD, EDS, EBSD, FIB/SEM etc., as well as physico-mechanical characterization techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good
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at the Division covers turbulent flow (both compressible and incompressible), multiphase flows, aero-acoustics and turbomachines. Our tools include both computations and experiments. The research covers a wide
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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new window). Flexible working We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another working arrangement. Please reach out to us to discuss