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Postdoc or early-career scientist position in machine learning for fusion plasma science
The turbulence spectroscopy group in the Department of Engineering Physics has an immediate opening for a postdoc or early-career scientist in machine learning (ML) and real-time inference for Beam Emission Spectroscopy (BES) plasma turbulence measurements at the DIII-D National Fusion Facility. The appointee will develop neural networks for real-time data analysis on high-throughput FPGA or GPU accelerators with targeted applications for real-time ELM (edge localized mode) onset prediction and pedestal turbulence/instability characterization. The project is part of a multi-institution collaboration for ML-enhanced plasma control. Applicants with experience in deep learning, data acquisition instrumentation, and fusion data analysis for turbulence and instabilities are encouraged to app

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The APS Physics Job Center has listings for the latest assistant, associate, and full professor roles, plus scientist jobs in specialized disciplines like theoretical physics, astronomy, condensed matter, materials, applied physics, astrophysics, optics and lasers, computational physics, plasma physics, and others! Find a job here as an engineer, experimental physicist, physics faculty, postdoctoral appointee, fellow, or researcher.