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computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips (at least two tapeouts) as proof of concept. Explore ONN
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at Radboud University (Nijmegen, Netherlands) is seeking a PhD candidate with a strong background in the analysis of partial differential equations. The project will be supervised by Dr Stefanie Sonner, is
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skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential equations? Information
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electro-optic devices, notably the multi-billion dollar liquid crystal display industry. The mathematics of LCs is very rich and cuts across analysis, topology, mechanics, partial differential equations and
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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solvers for PDAE (algebraic, ordinary and partial differential equations) systems Integration and advancement of multi-fidelity management within design optimisation and propagation tools for trans
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on the analysis and simulation of nonlinear partial differential equations arising in the context of interacting species study of interaction systems with applications to developmental biology, such as pattern
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dynamics using analytical and numerical methods to solve partial differential equations, -- excellent oral and written communication skills. Prior experience in nonlinear waves, fluid dynamics and numerical
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differential equations relevant to computational fluid dynamics. These efforts might include Bayesian physics-informed neural networks and neural operators. Bayesian neural networks for approximating piecewise
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for hyperbolic conservation laws and other time-dependent partial differential equations relevant to computational fluid dynamics. These efforts might include Bayesian physics-informed neural networks and neural