Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
283 research degree projects
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Electronics and computer science | Engineering
Enabling minimally invasive brain-machine interfacing
The main goal of this project is to investigate and design novel electrodes for minimally invasive brain sensing. -
Engineering | Electronics and computer science
Artificial intelligence for environmental fluid dynamics modelling
This PhD project explores the use of Physics-Informed Neural Networks (PINNs) to solve environmental flow problems, including the 2D Shallow Water Equations. Combining advanced artificial intelligence (AI) with fluid mechanics, the research aims to develop fast, accurate, and robust simulations for applications like flood modelling and water management. -
Engineering
Climate resilient submerged infrastructure
Fully funded PhD investigating novel design methods to improve submerged infrastructure resilience against currents and waves. Utilize world-class hydraulic labs and supercomputing facilities to develop sustainable, carbon-efficient solutions. -
Chemistry | Electronics and computer science
Developing magnetic lenses and inductively coupled coils to sense individual quantum spins
Our objective is to develop Nuclear Magnetic Resonance spectroscopy to make it capable of detecting individual quantum spins. This goal will be achieved by developing magnetic lenses to amplify the signal from and out of the spin-hosting materials. -
Chemistry | Physics and astronomy | Electronics and computer science
Luminescent lanthanide complexes for future photonic quantum computers
The ability to design new more efficient down conversion systems will be of paramount importance for the quantum computing revolution. Molecular lanthanide cluster complexes comprising multiple Ln ions offer unrivalled control in the internuclear distances and donor-acceptor compositions, thereby allowing more sophisticated and efficient down converting devices to be prepared. -
Chemistry
Dynamic control of quantum systems by symmetry-induced selection rules
Quantum systems evolve in time. The pathway which a quantum system follows may be controlled by imposing selection rules on the dynamical evolution. This project involves a combination of theory, numerical simulation, and experiments involving local nuclear magnetic resonance equipment and through international collaborations. -
Physics and astronomy | Mathematical sciences | Engineering
Quantum computing for large-scale stochastic optimisation in energy system planning
This project explores quantum computing to enhance large-scale stochastic optimisation for energy system planning, addressing uncertainty in renewables. By integrating quantum and classical methods, it aims to solve large-scale models, advancing methodologies and supporting the energy transition. -
Photonics and optoelectronics | Physics and astronomy
nanoAGILE (Axially Graded Index LEns) for quantum technologies
Current photonic quantum systems suffer from the poor brightness of the single photon sources used as a source for the qubits. The PhD position will explore ways of enhancing light extraction from photon sources and ways to detect meaningful qubit information. -
Photonics and optoelectronics | Physics and astronomy
Integrated detectors for photonic quantum technologies
Quantum photonics is key to develop the next generation of quantum technologies. This project will develop a silicon-nitride platform for visible-wavelength quantum photonics. -
Photonics and optoelectronics
Integrated photonics resonators for quantum technologies
This interdisciplinary project aims to develop chip-based, microscale optical resonators for quantum technologies. Optical resonators strongly enhance the interaction between matter and light and integrating them on a microchip will allow scalable quantum computing, communication, and sensing.