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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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The Applied Materials Division, Process R&D and Scale up Group at Argonne National Laboratory is seeking a Postdoctoral candidate to conduct general research in material science and electrochemistry
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and lanthanides within controlled atmosphere gloveboxes. Apply chemical thermodynamic and kinetic theories to understand processes and develop models of material interactions and behavior in molten salt
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among material properties, electrochemical performance, and battery system cost at the material, cell, and pack levels. The researcher will plan and advance performance and cost modeling of energy storage
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. The successful candidate will be a key contributor to a multidisciplinary co-design team spanning material science, computing, and electronic engineering, with the goal of enabling next-generation detector
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science is required. Research experiences in ultrafast science is preferred, such as in applying time-resolved microscopy / spectroscopy, scattering technique for quantum material research using advanced
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simulations and experiments across scientific user facilities, leveraging data to understand complex material phenomena across scales. Key Responsibilities Design, implement, and validate physics-informed AI/ML
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The Q-NEXT National Quantum Information Science and Research Center based at Argonne National Laboratory invites applications for a postdoctoral position to conduct research in the field of material
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, magneto-optic Kerr effect (MOKE) microscopy, and scanning NV microscopy. This position will also involve preparing suitable samples and devices using 2D material transfer systems and nanofabrication methods
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the Center for Nanoscale Materials (CNM) and Material Science Division (MSD) at Argonne. Position Requirements Required skills, knowledge and abilities: Ph.D. (completed within the last 0-5 years