Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
In this PhD project, you’ll explore how vibrating microbubbles can deliver drugs precisely where they’re needed in the body. Using ultrasound, high-speed cameras, and advanced “metalens” microscopes, you'll capture 3D images of how bubbles affect cells and tissues, linking physics, engineering, and biology to develop safer, more effective ultrasound-based medical treatments.
Estimating peak tyre-road friction coefficient for autonomous electric vehicles (EVs) is still an open research problem. A potential solution will make a huge impact in their active safety systems, which are crucial for autonomous EVs given the extra importance of vehicle safety while moving towards higher levels of driving automation.
Optical fibres can transport telecom signals over long distances. However, qubits or other quantum states such as multiple-entangled-photos are often generated at wavelengths where current optical fibres are unsuitable. There is an emerging class of new optical fibres pioneered in Southampton that could revolutionize transport of quantum signals and states.
Controlling nanoscale light−matter interactions will be foundational for advanced quantum nanophotonic devices, including optically/electrically pumped light sources, switches, modulators, and photodetectors. In this project we will engineer coupling of quantum emitters, such as quantum dots, atomic defects in 2D materials or Moiré superlattices, to metasurfaces for future monolithic chips with indistinguishable emitters.
This project will develop the core components of superconducting, photonic and atom/ion trap quantum systems using ultra-precision diamond machining. The project will work with leaders in the field (academia and industry) to create vacuum systems with integrated photonics and electrical functionality.
Quantum physics and artificial intelligence are converging to redefine how light–matter systems are explored and engineered. This project will develop Quantum Reservoir Computing as a new theoretical and computational framework, exploiting the dynamics of quantum systems to achieve efficient learning, prediction, and inverse design of photonic and quantum materials.
As AI becomes increasingly pervasive, there is growing demand for systems that are faster, more intelligent, and more efficient. Semiconductor technologies are providing new opportunities, but each with system-level implications. This research project with imec-UK will investigate how full-stack hardware-software-model optimisation can be harnessed to enhance inference efficiency and sustainability.
To develop reliable satellites “quickly and affordably”, small satellite missions accept higher risk, learning from failures across generations with risk assessment relying on individual team experience. This makes it almost impossible to achieve a general risk framework for this class of satellite. This research will apply Artificial Intelligence to analyse past small satellite missions to develop a global risk assessment framework.