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Associate Research Physicist - Machine Learning Controlled Nuclear Fusion
Overview The Princeton Plasma Physics Laboratory (PPPL) is seeking a research associate to develop machine learning algorithms for controlled nuclear fusion. PPPL is a world leading Department of Energy plasma physics laboratory focusing on fusion energy research and is managed by Princeton University. Machine learning is expected to play an integral role in plasma control systems in order to achieve stable plasma burn for fusion energy. This project will include the application of machine learning methods to predictive modeling of the evolution of the spherical tokamaks including NSTX-U and MAST-U, identification of constraints on the operating space, e.g., disruption limits, and optimization of actuator trajectories for pl


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