Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
450 research degree projects
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Photonics and optoelectronics | Physics and astronomy
Low-loss photonics for quantum networks
Unlike optical telecoms, where amplifiers compensate losses, in the world of Quantum Technology, every photon is precious. This project will create new ultra-low-loss optical components, reducing losses and allowing us to create large, entangled quantum states. -
Photonics and optoelectronics | Engineering
Up-conversion photonics for quantum technologies
Nonlinear parametric photonics is used to control quantum systems and as a source for photonic qubits. We have led the development of quasi-phase-matched non-linear systems. This project combines novel fabrication approaches with established commercial materials to expand the operation range into the ultra-violet and mid-infrared wavelength regions for quantum photonics. -
Photonics and optoelectronics | Electronics and computer science | Engineering
Ultra-precision manufacture of atom and ion traps for quantum technology
In this project, you will design, fabricate, and test atom and ion trap systems while working with experimentalists to demonstrate quantum sensing and computing. -
Engineering
Characterization and prediction of tip vortex interaction noise
This project focuses on experimentally characterizing and predicting noise from tip vortex-blade interactions in eVTOL aircraft, addressing a key challenge in reducing noise for urban air mobility. Using advanced techniques like Particle Image Velocimetry (PIV) and hotwire measurements, this study will inform noise reduction strategies in next-generation urban air mobility systems. -
Electronics and computer science
Self-adaptive artificial intelligence at the edge
Mobile and embedded systems are becoming increasingly intelligent, supported by advances in efficient machine learning (ML) models and specialised processing cores to accelerate efficient operation. In this project, you will develop software, and possibly hardware, to explore approaches for self-adaptive artificial intelligence (AI) at the edge, supporting improved system autonomy and sustainability. -
Electronics and computer science
Multimodal large language model in human-robot interaction
This project aims to explore a Multimodal Large Language Model framework that enables Social Robots to interpret interaction contexts from various modality inputs, such as vision, language or audio, and provide interactions to users through multiple communication channels, such as speech, gestures or images. -
Electronics and computer science
Development of RF MEMS for 6G communication
It is the aim of this project to enable heterogeneous integration of our high-resistivity substrate with RF MEMS which will enable the resulting system to power the next generation of 6G communications as well as many other applications. -
Chemistry
Algorithm development and simulation of ultrafast dynamics on quantum computer for chemistry
Quantum computing is a rapidly emerging technology that fundamentally changes the way we model materials, demands a re-thinking of algorithm design, and is poised to advance simulations in chemistry, physics and biology. The novel and interdisciplinary field of material simulations on quantum computers is not just a hot academic topic but is also addressed by start-ups, traditional industry, and policymakers, with a growing demand for talent from academia. -
Electronics and computer science | Engineering
AI-based virtual microphone technique for automotive applications
Are you interested in AI, acoustics, and active sound control? This PhD project offers a unique opportunity to merge these fields and develop groundbreaking AI-based technology that predicts the sound at the ears of car occupants using signals from microphones placed elsewhere in the vehicle, ultimately enabling localized active sound control within the car interior. -
Chemistry
Achieving Net Zero with Electrochemical CO2 capture and conversion
Electrochemical CO2 capture requires less energy compared to existing technology, and is flexible and versatile. It can be integrated with electrochemical CO2 conversion to directly convert CO2 to chemicals and fuels. This project will aim to develop an integrated process to Electrochemically capture and conversion of CO2.