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We have 161 numerical methods PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
numerical methods PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 161 numerical methods PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Reinforcement learning based discovery of numerical algorithms
Deep neural networks have recently emerged as promising contenders for efficiently solving partial differential equations (PDEs) and ordinary differential equations (ODEs). Read more
Advanced numerical methods for solving the forward problem in E/MEG
Research Group:
Brain Imaging
Electroencephalography (EEG) is a technique that measures the electric potential originating from the brain using electrodes located on the scalp. Read more
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Modelling Ultrasonic Inspection of Branched Stress Corrosion Cracks using Machine Learning and AI
Stress corrosion cracking (SCC) may lead to sudden and catastrophic failure, if left undetected or incorrectly characterised. The temporary shutdown by EDF of five nuclear reactors in France in 2021 [1], after the detection of SCC, emphasises the severity of the threat posed by this phenomenon. Read more
Droplet Impacts with Functional Surfaces
Droplet interactions with functional surfaces play a crucial role in many important physical processes, from preventing virus laden droplets passing through face masks to reducing the build-up of ice on the surfaces of flying aircraft. Read more
Representing dissipative processes in discrete models of materials
Solid materials have internal structures that appear as discrete collections of entities at any observable length scale. The engineering scale (macroscopic) behaviour of a material emerges from the interaction and evolution of these structures. Read more
Computational modelling of flexible wave energy converters
Whilst solar and wind energies have become dominant options in the renewable energy sector, wave energy is yet to become truly competitive. Read more
Combining Finite Element Methods with Machine Learning for Efficient Wave Simulations
We are seeking a highly motivated and skilled candidate for a PhD position in the field of numerical solutions of wave problems. The successful candidate will work on developing an efficient numerical solver for wave problems using advanced finite element methods coupled with machine learning. Read more
Novel Methods for the Characterisation of Helicopter Aero-acoustics PhD
Cranfield University has been at the forefront of rotorcraft research for the last 13 years, having an established track record on rotorcraft modelling, performance, aero-mechanics, and aero-acoustics. Read more
Numerical Algorithms for Molecular Systems and Data Science
Details: . Stochastic differential equations (SDEs) are widely used in science and engineering in order to model systems where random effects play a significant role. Read more
Numerical Algorithms and Analysis for Deterministic and Stochastic Systems
Details. Complex systems in biology, chemistry, and physics are often modelled using ordinary/partial/stochastic differential equations. Read more
Physically Inspired Machine Learning Models: Learning Differential Equations from Data
The University of Bath is inviting applications for the following PhD project in the. Department of Computer Science. commencing in October 2023. Read more
PhD opportunities in Mathematics at Brunel University London
Are you ready to address problems of real biological or engineering importance? Or perhaps investigate the underlying mathematical and phenomenological processes of societal issues?. Read more
Advanced CFD methods for porous media flows
Applications are invited to work on the development of advanced modelling techniques, based on existing novel high resolution, massively parallel schemes applicable to porous-media Simulations can include flows in porous media with the direct pore simulations as well as Darcy flows. Read more
Numerical Modelling of Cracked Engineering Materials under Dynamic Loading
It is common knowledge that all existing structural materials contain various inter- and intra-component cracks and crack-like defects which appear in materials during fabrication or in-service. Read more
Holistic data approaches for image reconstruction
The University of Bath is inviting applications for the following PhD project commencing in October 2023. Overview of the Research. Read more