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-be completed (typically within the last 0-5 years ) Ph.D. in engineering, operations research, computer science, applied mathematics, or a related field. Demonstrated expertise in mathematical
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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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engineering team to translate the models into production. The successful candidate will be part of a cross-lab, highly inter-disciplinary team of experts in ML, applied math, HPC, signal processing
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and processing strategies aimed at achieving high performance, cost-effectiveness, and manufacturability. The selected candidate will leverage the capabilities of the Materials Engineering Research
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years ) Ph.D. in Engineering, Operations, Computer Science, Mathematics or a related field. Knowledge of optimization, power systems operations and planning, electricity markets, issues surrounding
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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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. This level of knowledge is typically achieved through a formal education in chemical engineering, materials science, chemistry, or related field at the PhD degree level with zero to five years of experience
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The Nanoscale Magnetic and Electronic Heterostructure Group of the Materials Science Division (MSD) invites applications for a Postdoctoral position focused on Lorentz Transmission Electron
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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