We have 100 Computational Mathematics PhD Projects, Programmes & Scholarships for Self-funded Students in the UK

Discipline

Discipline

Mathematics

Location

Location

United Kingdom

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

I am a self funded student


Computational Mathematics PhD Projects, Programmes & Scholarships for Self-funded Students in the UK

We have 100 Computational Mathematics PhD Projects, Programmes & Scholarships for Self-funded Students in the UK

How does the dynamic intra-membrane aggregation of phage lysis proteins kill bacterial pathogens?

This is an interdisciplinary project. It will provide a unique opportunity to obtain training in a wide range of interdisciplinary skills, including protein engineering techniques, protein purification, atomic force microscopy, neutron reflection and scattering as well as molecular dynamics simulations. Read more

Data-Driven Computational Sensing and Imaging

Today's state-of-the-art imaging and sensing rely as much on computation as they do on sensor hardware. Furthermore, computational sensing and imaging is increasingly exploiting data-driven and machine learning solutions to enhance performance and develop novel hardware/software co-designed sensing systems. Read more

Financial Engineering: Modelling and Methods

This project will explore the utility of various mathematical models within common financial instruments. If you are interested, then please complete an application to the PhD in Applied Mathematics. Read more

Machine learning analysis of large-scale crystal structure prediction

Supervisory Team:  Prof. Graeme Day. Project description. A fully funded 3.5-year PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

OpenFOAM and CFD simulations are often computational expensive both in terms of resources and time. CFD codes often use explicit methods that require small time steps of the order of micro-nano seconds. Read more

Responsible AI for Health and Social Care

The increasing adoption of Artificial Intelligence (AI) technologies that could impact humanity raises increasing concerns from general public, industry and regulatory bodies. Read more

Filtering Results