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in materials for electrochemistry. While the focus in on computational expertise, this position will involve some experimental work in adapting workflows for automation and artificial intelligence
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The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join an R&D team conducting use-inspired research supporting the development of molten salt technologies
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ferroelectric and other functional materials into photonic architectures for electro-optic and quantum transduction applications Perform full device processing using cleanroom techniques, including electron-beam
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work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery. The appointment is expected to last two years and the contract is
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. The successful candidate will be a key member of a multidisciplinary research team between Materials Science Division and High Energy Physics Division at Argonne National Laboratory and work closely with
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. The postdoctoral researcher will work closely with scientists at the Materials Science Division and the Advanced Photon Source (APS) as well as collaborate with external partners to exploit state-of-the-art
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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-grade algorithms. Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions. Excellent communication skills and a strong interest in interdisciplinary
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in the cleanroom at the Center for Nanoscale Materials. The candidate will work in a collaborative environment including a network of leading researchers. Position Requirements Recent or soon-to-be
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, enabling multimodal in-situ investigation in areas of physics, chemistry, life and material sciences. We are seeking to fill a Postdoctoral Appointee position to support instrumentation development for X-ray