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Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee will
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for predicting the reliability of high-temperature structural components. This involves working with various continuum damage mechanics models and statistical reliability models. The goal is to
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project meetings. Ideal candidate should have technical experience in vehicle (on road, offroad, rail or marine) modelling, systems analysis, techno-economic analysis of vehicle systems. Prior
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manufacturing, ion irradiation, corrosion studies, advanced microscopy, and artificial-intelligence-enabled microstructural analysis to support the development and qualification of next-generation structural
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AI/ML methods for analysis, tuning, and control of particle beams and accelerator systems, with applications to the APS injector and the newly-upgraded APS storage ring. This work will explore
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materials. This position will primarily involve organic synthesis lab work and analysis of new materials, with some supplemental electrochemical testing. Previous experience with electrochemical analysis
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Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade activities
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; perform experiments independently and collaboratively; and analyze, interpret, and report experimental data. Build and refine data-analysis, automation, and closed-loop decision-making workflows
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modeling, are particularly sought after. This is a one-year position that can be extended to two years that we want to fill immediately. Contributes technical expertise through analysis and support
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will primarily involve organic synthesis lab work and analysis of new materials. Previous experience with electrochemical analysis or battery materials testing is a bonus. The candidate will design or