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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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in computational research Comprehensive understanding of quantum mechanics and electronic structure theory is critical Experience with CFD (e.g., the use of OpenFoam or ALDFoam) and microkinetic
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or soon-to-be completed (typically within the last 0-5 years) in Materials Science, Chemical/Mechanical Engineering, Chemistry, Condensed Matter Physics, or a closely related field. Demonstrated experience
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phenomena Create new reduced-order models and submodels related to fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use modeling tools such as computational fluid
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to energy conversion. The research involves exploring the excited-state structural dynamics and mechanisms of photoinduced energy and charge transfer across a wide spectrum of systems, including small
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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-house codes and making use of high-performance computing (HPC) tools. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical, aerospace
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The X-ray Imaging Group (IMG) of the Advanced Photon Source (APS) is seeking a postdoctoral researcher with expertise in computational science and image processing to develop innovative methods
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electrolyzer materials and electrodes using synchrotron X-ray techniques at Argonne’s Advanced Photon Source (APS). In particular X-ray absorption spectroscopy, X-ray scattering, and nano-computed tomography