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Field
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Full time research associate with the opportunity to work fully funded for 18 months on ultrasound data transmission across a metal barrier. The research is based on finite element and analytical
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments
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. The central aim of these projects is efficient computational method for wave propagation on complex geometry. We will use a novel and unconventional finite element method based on the Galerkin difference
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, so extra shelf life, to economical advantages. Perform an end-to-end supply-chain assessment method to map tradeoffs for different cooling technologies for selected stakeholders to get a holistic view
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, or a closely related field with expertise in one or more of the following areas: Finite element methods for partial differential equations Multiscale numerical methods Flow and transport in porous
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": based on the microlocal analysis of the problem, an efficient alternative to the standard Finite Element approach can be designed. The main aim of this postdoctoral project will be to adapt the methods
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in an engineering or related subject with experience of mechanics, finite element methods and numerical analysis. Please state your entry requirements plus any necessary or desired background A first
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. Analyse, categorise and document collected seismological, geological, tectonic and built environment data and model and map the data in GIS environment. Develop high-fidelity Finite Element (FE) models of
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(MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments). Probabilistic and reliability
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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data