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Associate position focusing on control systems engineering, artificial intelligence (AI), and scientific machine learning (SciML) applied to nuclear fusion energy. The successful candidate will join the
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, computational science, machine learning, and control engineering. Current collaborations involve major fusion facilities and research programs, including DIII-D (San Diego, CA, USA), NSTX-U (Princeton, NJ, USA
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). Qualifications: PhD in Electrical Engineering, Control, Applied Mathematics, or related field (completed or near completion) Strong publication record in top-tier journals or conferences in power systems, control
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