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We have 36 Applied Mathematics (structures) PhD Projects, Programmes & Scholarships

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Applied Mathematics (structures) PhD Projects, Programmes & Scholarships

We have 36 Applied Mathematics (structures) PhD Projects, Programmes & Scholarships

Ocean Mixing Parameterisation via Categorisation of Nonlinear Flow Structures - Project 1: Mathematical Model Development

One of the key challenges for large-scale climate models is to accurately parameterise the mixing which occurs in the oceans. Such mixing occurs at small-scales, well below the grid-resolution of the climate models, and consists of the turbulent exchange of heat and salt between neighbouring regions of fluid. Read more

Ocean Mixing Parameterisation via Categorisation of Nonlinear Flow Structures - Project 2: Experimental Validation

One of the key challenges for large-scale climate models is to accurately parameterise the mixing which occurs in the oceans. Such mixing occurs at small-scales, well below the grid-resolution of the climate models, and consists of the turbulent exchange of heat and salt between neighbouring regions of fluid. Read more

Composite Structures

Composite structures are extraordinarily versatile. They have been used across mechanical, aerospace, civil engineering sectors in a range of applications (airframes, new car configurations, etc). Read more

Computational Mechanics of Fracture on Advanced Composite Aerospace Structures

Over the last decade there has been a significant increase in the use of composite laminates in the aerospace industry in a drive to reduce weight and as a result to reduce emissions. Read more

Understanding crack branching via multiscale mathematical methods

There are many examples of branching in nature. the most celebrated of these is the way that rivers form by the coalescence of many small streams and rivers which build up to form a major river. Read more

Condition monitoring and non-destructive testing of dynamic cable for offshore renewable energy industry

Offshore wind energy is central to UK’s ambition of transitioning to a sustainable future electricity grid. The growth in power generation from floating wind turbines is increasingly further away from shore and utilising the floating wind turbine support structures. Read more

Understanding the evolution of gene regulatory networks through biophysical modelling and machine learning

The ability to coordinate the expression of genes within a cell is at the heart of life. When and how much of a specific gene is turned into a protein is essential for organisms to respond to their environment and to manage resources. Read more

Condition monitoring and non-destructive testing of dynamic cable for offshore renewable energy industry

Offshore wind energy is central to UK’s ambition of transitioning to a sustainable future electricity grid. The growth in power generation from floating wind turbines is increasingly further away from shore and utilising the floating wind turbine support structures. Read more

Space Trajectory Classification using Machine Learning

Supervisory Team: Dr Alexander Wittig, Dr Davide Amato (external, from Imperial). Project description. Interest in more complex dynamics of space trajectories beyond perturbed Keplerian dynamics is rapidly growing. Read more

Computational modelling to understand the key drivers of placental evolution

Supervisory Team. Bram Sengers (SoE), Rohan Lewis (Medicine). Project description. This project will use computational modelling in combination with 3D multiscale multimodal imaging to improve our understanding of placental evolution, in close collaboration between Engineering and Medicine. Read more

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