Postdoc position in Machine Learning and Fusion Science
February 1, 2021
The turbulence spectroscopy group in the Department of Engineering Physics at the University of Wisconsin-Madison seeks applicants for a postdoc position in machine learning (ML) and real-time inference for Beam Emission Spectroscopy plasma turbulence measurements at the DIII-D National Fusion Facility. The postdoc appointee will develop neural networks for real-time data reduction on high-bandwidth FPGA accelerators with targeted applications for ELM (edge localized mode) prediction and turbulence characterization. The project is part of a collaboration in ML-enhanced plasma control with Princeton U., Carnegie Mellon U., PPPL, and SLAC. Applicants with experience in deep learning frameworks (PyTorch or TensorFlow), data acquisition instrumentation, and data analysis for turbulence and instabilities are encouraged to apply.
The website for the turbulence spectroscopy group is https://fusionlab.ep.wisc.edu/turbulence/.
This position is an off-campus work assignment. Project personnel are located at General Atomics in San Diego, CA and at PPPL in Princeton, NJ. The successful applicant can work on assignment at either location, but there is flexibility for short-term remote work to accommodate Covid limitations.
DEGREE REQUIREMENTS AND RESEARCH EXPERIENCE:
– Ph.D. (or completion of Ph.D. requirements prior to start date) in physics, engineering/applied physics, electrical engineering, mechanical engineering, or similar field
– A strong quantitative background with experience in machine learning is required. Additional experience in data acquisition instrumentation and data analysis for turbulence and instabilities is preferred.
– Strong written and verbal communication skills
INSTRUCTIONS TO APPLICANTS:
Applicants should submit a cover letter and CV/resume to Dr. David Smith (firstname.lastname@example.org). Applications received by February 26, 2021 will receive full consideration. The position is open until filled.
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