63 power-system-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Argonne
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learning, or optimization Strong programming skills in Python and experience with scientific computing and machine-learning libraries Ability to work across experimental, robotic, and computational systems
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on quantum devices and experiments. The project aims to develop superconducting
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, synthesize, and characterize new recyclable polymer systems, while evaluating their thermomechanical properties. The position also offers the opportunity to investigate catalytic reaction mechanisms through
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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research on advanced nanomaterials for polymer, metal, and ceramic composite systems. The successful candidate will develop scalable processing approaches for incorporating one-dimensional (1D) and two
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imaging, ideally with the ability to carry out advanced measurements at the Advanced Photon Source. Experience with in-situ characterization and experimental apparatus development is especially valued. In
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The Nuclear Technologies and National Security Directorate (NTNS) is seeking a dynamic and passionate Postdoctoral Appointee with strong background in statistics or machine learning to lead an
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-based battery cells Hands-on experience with a range of laboratory instrumentation and characterization tools Strong ability to design and implement electrochemical experiments and interpret results
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The Argonne team is seeking two highly motivated postdoctoral researchers to help shape the next generation of secure, scalable, and continuously learning AI systems for biomedical discovery
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expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research