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The Applied Materials Division, Process R&D and Scale up Group is seeking a postdoctoral candidate to conduct general research in material science and electrochemistry related to next generation
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is supported by a DOE-funded research program on ultrafast science involving Argonne National Laboratory, University of Washington, and MIT. The goal of this research program is to understand and
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, in Electrical Engineering and Computer Science or related field obtained within the last five years. Experience with X-ray physics or optical wave modeling. Proficiency in programming with Python
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(predoctoral) or PhD (postdoctoral) in Materials Science, Chemistry, Physics, or related area is required. Coursework in computer science or data science is desirable. Familiarity with research data management
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multidisciplinary team, the Postdoctoral Appointee will work at the intersection of AI/ML, climate science, and high-performance computing. The candidate will develop LLMs specifically designed to understand, process
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scholarly work or industry experience in economic and supply chain analysis, computational modeling, or policy analysis. Excellent oral and written communication skills in scientific and engineering contexts
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In the Nanoscale Magnetic and Electronic Heterostructure Group of the Materials Science Division (MSD) we aim to understand the novel and emergent behavior in nanoscale magnetic and electronic
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The Chemical Sciences and Engineering (CSE) Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge research in the development of advanced electrolytes
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Electrical Engineering, Computer Science, Operations Research, or a closely related field. Experience in power systems, distribution systems, or microgrid modeling, with a solid understanding of advanced co
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and no-carbon fuels for hard-to-electrify industrial equipment such as burners, furnaces, combined heat and power, etc., applications. The goal is to establish a world-class research program leveraging