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postdoctoral appointee to develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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interaction for next-generation information processing, microelectronics, wireless communication, and quantum information science. Key Responsibilities: Develop terahertz coplanar resonators, including
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unconventional sources. The successful candidate will work on continuous hydrometallurgical processing approaches for selective and efficient recovery of critical materials relevant to energy innovation. The
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technical work related to the development of new processes for metals production and processing. Prepare formal reports, make presentations, and publish to establish leadership position in R&D for
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unconventional sources. The successful candidate will work on a project focused on integrating selective heating with continuous hydrometallurgical processing, for recovery of critical materials relevant to energy
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, and Teamwork. 8. Ability to work onsite at Argonne National Laboratory in Lemont, Illinois. This job description documents the general nature of work but is not intended to be a comprehensive list of
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emphasize processing–microstructure–property-performance relationships under temperature, irradiation, corrosion, mechanical stress conditions. The successful candidate will integrate additive
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complementary experimental studies. - Communicate research results through publications, presentations, and team discussions. This position description documents the general nature and level of work
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, machine learning, and signal processing, as well as close collaboration with experts in computational science, electrical engineering, synchrotron physics, soil microbiology, and environmental chemistry