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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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analytical skills, including signal processing, statistical learning, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements
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leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL website: https
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. Knowledge of mechanical design, control system theory, statistics, actuation, sensing, rapid prototyping, and manufacturing. Experience with tools such as ROS, Gazebo/NVIDIA Isaac/Omniverse or CoppeliaSim