The University of Manchester
Available PhD Projects
Explore particle-based simulations to understand wet and cohesive powders central to multiple industries. Develop efficient reduced-order models and optimization approaches to improve predictions and mixing quality in r…
Explore how to safely control multiple robotic arms performing dexterous manipulation in constrained and changing environments. Develop and integrate model-based and data-driven methods to enhance robot adaptability and…
Explore fluid kinematics at the air-water interface during breaking waves to quantify CO2 exchange. Use cutting-edge laser diagnostics to advance climate mitigation research.
Investigate microplastics transport in aquatic environments using cutting-edge laser diagnostics and 3D measurements. Advance understanding of environmental pollutant distribution through innovative experimental researc…
Investigate how Sphagnum moss controls surface water flow to reduce flood risk in UK peatlands. This PhD will combine field and lab work to quantify moss-induced surface roughness and its hydrological effects.
Investigate how Sphagnum moss controls surface water flow to reduce flood risk in UK peatlands. This PhD will combine field and lab work to quantify moss-induced surface roughness and its hydrological effects.
Competition funded PhD at The University of Manchester focused on reductive activation of amides for sustainable catalytic transformations in synthetic organic chemistry.
This PhD investigates the coupled aeroelastic and dynamic behaviour of deployable space structures, such as solar arrays and antennas, to understand and optimize deployment reliability, vibration modes, and operational …
This PhD investigates the coupled aeroelastic and aerodynamic behaviour of badminton shuttles, combining computational modelling and experimental analysis to predict flight stability, drag, and performance.
This PhD investigates the optimisation of thermomechanical ageing in high-strength 6xxx aluminium alloys, focusing on quenching and pre-ageing effects on microstructure, mechanical performance, and corrosion resistance,…
This PhD investigates how defects in zirconium alloy cladding of spent nuclear fuel propagate under oxidising conditions during dry storage, using advanced materials characterisation techniques and industrial collaborat…
PhD at the University of Manchester focused on developing advanced solid-state materials for hydrogen storage. Combines materials engineering and chemistry to improve storage efficiency, safety, and performance for clea…
Industry-linked PhD at the University of Manchester with Honda Research Institute Europe, developing machine learning methods for high-dimensional multi-objective optimisation in complex systems like EV energy networks.
Fusion Energy, Tokamak, Machine Learning, Graph Neural Networks, High-Dimensional Data, Surrogate Modelling, Materials Science, Predictive Modelling, Dimensionality Reduction, Time-Series Analysis