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to the design, fabrication, and characterization of superconducting devices based on high kinetic inductance materials. This position offers a unique opportunity to help build a new research capability with
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Argonne National Laboratory is seeking a scientist to help advance the emerging field of networked and distributed quantum computing. This position offers the opportunity to shape new architectures
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-reviewed journals, present at scientific meetings, and help shape future directions in autonomous materials research Position Requirements Ph.D. in physical chemistry, inorganic chemistry, computational
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opportunity for an early-career researcher to contribute to cutting-edge energy storage research focused on developing advanced diagnostic tools for aqueous battery systems. In this role, you will help develop
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(IDs) in the APS storage ring, oversee controls for three magnetic measurement laboratories, and help design ID control architectures for next-generation light sources. This position requires strong
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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, physics, computer science, and/or data science Demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided experimental design Strong Python and scientific computing
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-dimensional (2D) nanomaterials into structural and functional composites designed for next-generation energy technologies. The position combines fundamental materials synthesis, advanced characterization
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of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine
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nanoscience and nanotechnology. We seek a highly motivated scientist to help advance CNM’s research leadership in microelectronics, with particular emphasis on device physics, transport measurements, and