48 electrical-machine-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Argonne
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applying artificial intelligence (AI) and machine learning (ML) methods for the autonomous, self-driving synthesis of nanoscale and quantum materials. This is an exciting opportunity to help shape a
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Argonne’s High Energy Physics Division, the successful candidate will contribute to the design, fabrication, and characterization of superconducting devices based on microstrip-coupled TES technology
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design, simulation, fabrication, and terahertz characterizations of the resonators. Set up terahertz and optical free-space experiments for the terahertz cavity and antiferromagnetic oxides, including
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devices (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
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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
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and solid electrolytes. We are seeking candidates who will be able to design experiments and develop methodologies to design material compositions, ink rheological properties, and coating and drying
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fabrication, and characterization. This position offers the opportunity to pioneer new directions in heterointegration and electrical characterization while contributing to CNM’s mission as a national user
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, benchmarking and deploy them for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning
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platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher
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Postdoctoral Researcher in artificial intelligence and machine learning (AI/ML) for advanced tuning and diagnosis of particle accelerators. The Accelerator Operations and Physics (AOP) Group of the