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Argonne National Laboratory in the Applied Materials Division (AMD) at is seeking a Postdoctoral candidate in the Emergent Materials and Processes Group. The candidate will perform basic and applied
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emphasize processing–microstructure–property-performance relationships under temperature, irradiation, corrosion, mechanical stress conditions. The successful candidate will integrate additive manufacturing
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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evaluate scalable readout architectures for nanowire arrays, including multiplexing approaches based on superconducting cryogenic switches such as hTron and fTron Perform low-noise cryogenic measurements
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innovation. The postdoctoral researcher will design and conduct experiments, develop slurry-based processing methodologies, support construction and operation of bench-scale systems, analyze transport and
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processing approaches and dry head-end separations methods; evaluating process performance; and contributing to technical reports, publications, and sponsor deliverables. The successful candidate will work
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responsibilities required of job incumbent. Consequently, job incumbent may be required to perform other duties as assigned. Position Requirements Ph.D degree in the field of Condensed Matter Physics, AMO physics
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nitrogen-vacancy (NV) diamond quantum magnetometry for high-energy physics experiments. The HEP Division performs cutting-edge research leveraging advanced detector development, high-performance computing
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of hydrometallurgical processes such as leaching, solvent (liquid-liquid) extraction, and adsorption; evaluating process performance and operability; developing test plans and standard operating procedures; assisting
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quantum labs. The postdoc will work with other team members and collaborators to study quantum physics and perform local quantum experiments. The successful candidate will be part of a highly collaborative