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The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join a multidisciplinary team developing electrochemical reactions and processes in molten salt electrolytes
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This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH
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://arxiv.org/abs/2509.00098 ) This project sits at the intersection of artificial intelligence and materials characterization and modeling. The goal is to create an AI system that can intelligently operate
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the application of these methods and tools to complex issues in the domains of environmental, water, and energy system analysis. Position Requirements Recent or soon-to-be completed (typically within the last 0-5
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Directorate (PSE) at Argonne National Laboratory is seeking applicants for a Postdoctoral Appointee who will conduct cutting-edge research in AI for Materials Science Discovery, with a focus on critical
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photonic platforms for hybrid quantum systems. The role offers a unique opportunity to engage in advanced materials synthesis, nanofabrication, and multimodal characterization using Argonne’s world-class
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materials characterization (e.g., atomic force microscopy). Key responsibilities include designing and executing experiments, analyzing and interpreting complex datasets, and disseminating results through
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and to communicate complex results effectively in writing and presentations. Record of peer-reviewed publications commensurate with career stage. Commitment to Argonne’s core values and safe work
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into APS beamlines and enabling transformative experiments in X-ray spectroscopy. This is an opportunity to contribute to a growing capability at one of the world’s premier synchrotron facilities
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Electrochemical Mass Spectroscopy (DEMS), and complementary methods Perform electrochemical testing and benchmarking; analyze and interpret complex datasets to elucidate catalytic mechanisms and structure–property