Interaction of topography with rotation, convection and magnetic fields
Understanding convection is important in a range of geophysical problems. For example, in the interior of the Earth in the fluid outer core or in...
Projects
Please note that the PhD projects listed are examples of projects offered to current CDT students and as such are not generally available to prospective students.
Instabilities in rotating cylinders
Pre-filled medical syringes (or vials) are prepared via an automated process that requires drastic control measures. Indeed, during their preparation, small particles may find their...
Impact dynamics of complex fluid droplets on heterogeneously wetting surfaces
Knowledge of the wetting and impact of liquid droplets on solid substrates is key to reliable and efficient operation in diverse industrial processes, such as...
Hydrodynamics of organic carbon: settling and reworking, implications for their dispersal and concentration in oceans
Figure 1. Organic carbon (black layers) is preferentially stored in discrete intervals of a marine sediment. Understanding why and how this happens is critical to...
How sustainable is geothermal in the UK: getting a measure of fluid and heat flow in Yorkshire’s aquifers
This project combines mathematical/computational modelling with geological and geophysical parameters to explore fluid and heat flow capacities of potential future geothermal reservoirs within UK aquifers....
Dynamics of mesoscale convective systems
NASA image of organised deep convective storms over Africa Tropical weather and climate is dominated by deep convection (“thunderstorms”). Organised systems of convection (mesocale convective...
Dynamical systems and Machine Learning approach to mixing and dispersion of airborne contaminants in indoor environments
Understanding the effect of airflow in enclosed/indoor environments is of great interest due to its close relationship to occupant’s health, thermal comfort, and energy efficiency....
Differentiable Physics in Scientific Machine Learning
This project would first require the student to become familiar with some simple concepts and techniques in Scientific Machine Learning (SML) and in algorithmic differentiation...
Combined experimental and mass-transport modelling approaches for under-deposit localised corrosion
Internal carbon dioxide (CO2) corrosion of steel infrastructure is a degradation mechanism known to occur across mature energy, renewable energy and carbon abatement technologies. Despite...
CFD-AI aided design of controlled-release drugs
Controlled-release tablets provide sustained release of medication over an extended period which could be critical for treating chronic conditions that require constant medication levels in...