60 computer-science-"https:"-"https:"-"Simons-Foundation" Postdoctoral positions at Argonne
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The Nuclear Science and Engineering Division at Argonne National Laboratory seeks a Postdoctoral Appointee to conduct R&D on metallic materials for extreme environments relevant to nuclear energy
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-driven X-ray free-electron laser (XFEL) for attosecond science. The selected candidate will play a leading technical role in the design of a next-generation compact XFEL capable of producing agile
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute to
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is extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a
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Infratsructure Science (DIS) Division. Recently Argonne had successfully developed AI foundation models for weather and Seasonal-to-subseasonal forecasting, hydrology and urban digital twins. As we move
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prototypes, experimental benchmarks, and reusable software components. Position Requirements Required Skills and Qualifications: Ph.D. completed within the last 0–5 years in computer science, data science
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capable computers. The division aims to build lab-wide cross-cutting simulation application capabilities integrating with mathematics, computer science, domain science, and advanced computing architectures
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Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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, computational materials science, chemical engineering, or equivalent experience applying these scientific principles in computational research A strong foundation in quantum mechanics and electronic
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Argonne National Laboratory’s Materials Science Division (MSD) invites applications for a Postdoctoral Appointee in computational materials chemistry and atomistic modeling to investigate the