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interactions among neighbouring agents and their environments. The research will exploit an interdisciplinary approach that combines control theory, nonlinear dynamical systems, robotics, and formal methods
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this bench to test this component as an adaptive apodiser, in conjunction with an adaptive optics system, including the development of wavefront control methods based on information obtained in the pupil plane
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This PhD is part of the The Fusion Engineering Centre for Doctoral Training (CDT), at the University of Nottingham and has industrial collaboration, being co-supervised by a member of staff at
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candidate would have experience with computational modelling and control of dynamical systems. Other useful skills include scientific programming (e.g., Python or Matlab), control system design, and
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of the composite human neuro-musculo-skeletal system (NMS) that incorporate neural control strategies (i.e., CPG-lie and reflex pathways), muscle-tendon units with variable stiffness and damping
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in resilient, data-driven control of cyber-physical power systems, enabling secure, stable, & efficient operation of future smart grids. Project specific entry requirements: The applicant should have a
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on van der Waals (vdW) heterostructures. The advertised position is within the frame of an OptoQuantTOP ERC Starting Grant project, which aims at controlling strongly correlated topological phases
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application! We are now looking for a PhD student in infrainformatics with focus on semantic and goal-oriented communication specialized on cloud-assisted artificial intelligence and control systems. Your work
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dynamics resulting from varying compositions. An adaptive Model Predictive Control strategy is envisaged for this challenge. During the four-year doctoral programme, you will contribute to the group's R&D
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out without a solid theoretical foundation. This leads to unpredictable behavior, which is a major bottleneck for efficient and resilient control of complex systems in engineering and medicine. Your