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(MBI) conducts fundamental research in nonlinear optics and ultrafast dynamics arising from light–matter interactions, while actively pursuing emerging applications. The institute develops and operates
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Danfoss, you will combine thermofluid modelling, reduced-order multiphysics methods, and nonlinear rotor dynamics analysis to develop predictive modelling tools that support the industrial design of
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valued: nonlinear dynamics, condensed-matter physics, and stochastic processes. The ideal candidate is an experimentalist who enjoys not only setting up and performing complex experiments, but also
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
approaches for high-speed manipulation using compliant robotic systems. The research objectives include: Developing computationally efficient dynamic models suitable for control. Designing and implementing
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tunneling diode (RTD) excitable dynamics with quantum-dot active devices capable of providing a nonlinear amplifying response to extremely weak optical stimuli. These photonic neurons will be realized as
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, structural dynamics and structural reliability theory, and you will work with data and cases from real infrastructure. You will be supervised by Professor Jochen Köhler (structural reliability and risk
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systems still face major challenges when operating in fluid environments such as air or water. Unlike ground robots, aerial and underwater robots exhibit dynamics that are strongly coupled with
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inspired by notions of energy, leading to highly efficient, local learning rules. What are you going to do? As a PhD candidate, you will develop mathematical theory for learning in nonlinear and dynamic
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quantify the impact of nonlinearity on flow and transportin confined porous media. We put particular emphasis on three sources of nonlinearity: non-Newtonian rheology, large driving rates leading to dynamic
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the nonlinear dynamics of these networks using theory and numerical simulations. - Design and perform table-top robotic experiments that implement your learning algorithms in unpredictable environments. Who