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processing, as well as close collaboration with experts in computational science, electrical engineering, synchrotron physics, soil microbiology, and environmental chemistry. May be required to perform other
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role of land–atmosphere interactions in S2S predictability; impacts on boundary layer processes, aerosol-cloud interactions, precipitation, and hydrological extremes, including feedback mechanisms
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, and on the properties of surfaces and interfaces relevant to electrochemistry and photochemistry processes relevant to energy applications. In this position, you will: Conduct theoretical and
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the development of novel research concepts. The scientist will lead Argonne’s Rapid Prototyping Laboratory (RPL), a team of computer scientists, roboticists, data scientists, and subject matter experts
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, postdocs, and students. May be required to perform other duties as assigned. Position Requirements Ph.D. in Physics, Accelerator Science, Electrical/Computer Engineering, or a closely related field and 4
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design, and experiment planning Build analysis tools for multimodal, high-throughput experimental data, including real-time or near-real-time processing Collaborate closely with scientists across materials
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Physics (AOP) Group. The successful candidate will : Play a significant role in maintaining the high-reliability operation of the APS storage ring. Perform general accelerator physics activities, including
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) Perform low-noise cryogenic measurements of device performance, including timing jitter, dark count rate, detection efficiency, and resonator quality factors Iterate rapidly on fabrication processes and
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-throughput laboratory systems Proficiency in Python or similar programming languages for data processing, statistical analysis, and integration with AI/ML tools Excellent written and verbal communication
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integrating literature, in-house, and newly generated experimental data Build surrogate and predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and