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Applied Mathematics PhD Projects, Programs & Scholarships

We have 254 Applied Mathematics PhD Projects, Programs & Scholarships

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We have 254 Applied Mathematics PhD Projects, Programs & Scholarships

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The Impact of Decarbonisation of Transport on the Energy System

The decarbonisation of transportation is one of the key challenges facing the UK in the coming decades. With the paradigm changes in vehicle ownership and use, there is a need to understand how these shifts will impact both the roll-out of EVs and hydrogen vehicles (e.g. Read more

3D printing of liquid crystal elastomers

  Research Group: School of Mathematics
Liquid crystal elastomers (LCEs) are a new class of soft materials which have a myriad of potential uses due to their unique properties. Direct-Ink Writing (DIW) 3D printing provides a potential method to make large and highly complex devices from LCEs, but we need to first understand precisely how to control and optimise the extent of molecular order created in 3D printed devices. Read more

Modelling hydrogels and fractal materials

  Research Group: School of Computing
There is growing interest in the importance class of materials known as hydrogels, which are formed by the aggregation of small building blocks until they gel (or percolate) across the sample. Read more

Surrogate models and adaptive algorithms for sampling high-dimensional design spaces for in-silico trials

  Research Group: School of Computing
This project develops new strategies for sparse sampling and surrogate modelling by neural networks and Bayesian meta-models to efficiently evaluate the outputs of expensive computational models and allow the efficient construction of large in-silico trials in the future. Read more

Modelling cross-linked fibre networks in flow

  Research Group: School of Computing
Many industrial and biomedical materials consist of a fibrous solid phase immersed in a viscous fluid, e.g. the cellular cytoskeleton, tissue engineering scaffolds, medical filters, fibre reinforced materials etc. Read more

A theoretical framework of multi-task optimisation

  Research Group: School of Computing
This project proposes a novel mathematical framework of Bayesian computing utilising the advantage of novel information units, neural spikes and synapses, of the brain. Read more

Accelerating fragment-based drug discovery using NMR spectroscopy

Applications must be complete, including both references, by 14th January 2022 at 5pm    . Fragment-based drug discovery (FBDD) is a widely used approach to generate starting points for drug discovery and tools for chemical biology [1]. Read more

Brain-inspired See-Think-Act Intelligent Machines

  Research Group: School of Computing
There is an ongoing revolution in developing autonomous intelligence machines to greatly improve effectiveness and efficiency of sensory perception, decision-making, and active control. Read more

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