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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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. Deploying models in edge environments requires navigating a fundamental conflict between model complexity and environmental volatility. Real-world edge environments remain highly dynamic: data streams
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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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dynamic response simulations of flexible power cable between two anchored floating bodies under realistic environmental conditions, establishing the design limits for safe, reliable, and cost-efficient
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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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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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Research Title: Nutrient Dynamics in Cover Crops and Their Implications for Sugar Beet Nutrition, Soil Health, and Climate Resilience Research Description The Opportunity The UK sugar beet industry spends
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engineering applied mathematics civil engineering geotechnical engineering applied physics other related disciplines. Demonstrated knowledge or experience in any of the following: computational fluid dynamics
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 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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. Additionally, current techno-economic feasibility studies rely on steady‑state modelling and overlook the dynamic behaviour under variable grid and weather conditions. These gaps restrict the deployment of high