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that the programme will combine ideas from a broad range of disciplines, including machine learning, control theory, differential equations, port-Hamiltonian systems theory, modelling of power systems, digital signal
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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or remotely operated robotic systems, preferably in underwater or field robotics. The candidate should have strong competencies in control theory, sensor fusion, and signal processing, and demonstrate
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of semiconductor properties through electronic doping to control and modify its electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 7 hours ago
industrial process control remains under-explored; the current approach relies on statistical tests or conventional machine learning. One of the manufacturing processes addressed in this thesis is injection