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on securing a domestic supply chain for critical materials, such as graphite. This candidate will join a team developing and testing material beneficiation, leaching, and separation unit operations for carbon
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collaborating with a software engineering team to translate research into production-ready tools. The successful candidate will be part of an inter-lab, highly inter-disciplinary team of experts in ML, applied
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; contribute to open-source software and instrument documentation as appropriate. Publish scientific and technical results in peer-reviewed journals and present at conferences; engage with the broader cryogenic
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frameworks such as PyTorch or TensorFlow Experience with the software stack used at AWA: PyEPICS, GitHub, NumPy, SciPy, Matplotlib Strong experimental skills, curiosity, and initiative in research projects Job
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field Match at least one of the following profiles: Experience with modern AI methods for nuclear physics or high-energy physics detector data; or Hands-on work with PMTs, SiPMs, or MCP-PMTs (test-beam
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implementing the scientific research, and for reporting relevant results in an appropriate form. The successful candidate should be highly motivated for research excellence and have a strong track record in
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instrumentation. Hands-on experience in performing experiments inside controlled environments (glovebox) is highly welcomed. Experience with fabrication of membrane electrode assemblies (MEAs) and test them in fuel
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. Advanced materials design and characterization will be pursued through various strategies. The candidate should have extensive experience in fabricating and testing prototype batteries, glove box operation
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design, development of supervisory control logic, validation of vehicle models against test data etc. The projects and interests of this group span all modes of transportation including off-road, rail
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machine learning models at a world-class high-performance computing facility The candidate will have access to state-of-the-art computing resources, including: NVIDIA DGX-2 Systems: Powerful platforms