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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control
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Mathjobs.org | 20 days ago
in traditional numerical analysis or computational modeling. The successful candidate will contribute to undergraduate and graduate teaching in areas such as Mathematics for Artificial Intelligence
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in traditional numerical analysis or computational modeling. The successful candidate will contribute to undergraduate and graduate teaching in areas such as Mathematics for Artificial Intelligence
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established by a combination of physics-based numerical simulation and data-driven modelling, which in combination will assist in process optimization and ultimately process adjustments along the process
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sustainability-driven optimization of hybrid multi-material structures. The work focuses on bringing environmental and circularity goals into structural design alongside strength, stiffness, and cost
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considerations and variational methods, is studied. The project aims at the derivation of new existence results for deterministic and stochastic partial differential equations, and the numerical analysis of
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: Singularities, topology of singular spaces, applications to optimization. * Sebastien Roch: Discrete probability, applications in bioinformatics and networks. * Jose Israel Rodriguez: Applied and numerical
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for interdisciplinary research at the interface of energy systems, high-performance computing, and quantum computing Strong background in mathematics, optimization, numerical methods, or scientific
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, dynamic modelling and control, mathematical optimization, or data-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good