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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
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, ion irradiation, corrosion studies, advanced microscopy, and artificial-intelligence-enabled microstructural analysis to support the development and qualification of next-generation structural materials
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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 enhance engineering
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of both hardware and software tools for operando characterization under electrochemical conditions, as well as the management and analysis of large experimental datasets. The successful candidate will
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should have technical experience in vehicle (on road, offroad, rail or marine) modelling, systems analysis, techno-economic analysis of vehicle systems. Prior experience in carrying out simulations
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platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher will
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adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality. Advance multimodal analysis methods that align and fuse structural, chemical
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and structural behavior of these strategically important elements in geological materials. We are looking for a creative and driven experimental scientist with experience in synchrotron scattering and
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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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crystal growth and structure–property relationship discovery. The successful candidate will join a highly collaborative research environment that integrates robotic experimentation, advanced