Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
Recently developed ferroelectric nematic liquid crystals offer fast switching speeds and show strong nonlinear responses, as demonstrated through their use in second harmonic generation. They are promising materials for other optical parametric processes used in generating entangled photons and for creating tuneable nonlinear components.
This project explores the emerging field of Quantum Computational Fluid Dynamics (QCFD), combining quantum computing and CFD to simulate nonlinear systems such as turbulence and shockwaves. You will be working and implementing quantum variational algorithms in quantum computers that bridge fundamental physics with quantum algorithmic innovation for next-generation fluid simulation.
This project involves the development of resource-efficient quantum algorithms for molecular simulation and their implementation in quantum hardware in the cloud or directly with experimental collaborators. Beyond the basic science, applications of the quantum solutions developed in transformative technologies like clean energy catalysts and advanced batteries will also be sought.
This project engineers the atomic-scale microstructure of Josephson junctions—optimising grain orientation, stress, and interfaces—for longer-lived, reproducible qubits. Students will combine advanced thin-film growth, microscopy, and cryogenic testing to engineer “perfect” quantum hardware.
This project studies a new hardware paradigm for quantum computing, will theoretically design and experimentally realise a space-time quantum metasurface, a network of dynamically coupled, time-varying qubits. This architecture aims to enable real-time error mitigation and unlock scalable, fault-tolerant quantum processing through emergent collective phenomena.
In this industry sponsored project, you will develop advanced machine learning tools to detect and remove scatter artefacts from X-ray images acquired with state of the art, high energy X-ray imaging systems, where scatter becomes the dominant source of image artefact.
This PhD project will develop reliable and cost-effective on-chip quantum light sources from foundry-compatible 2D materials. Using advanced nanofabrication and spectroscopy, the research will control strain, spin injection, and twist angles to create electrically driven, high-purity entangled single-photon emitter arrays that are crucial for photonic quantum information processing technologies.
This project will focus on advancing levitated optomechanical quantum technology, specifically a levitated gradiometer, through early-stage development (TRL 1–3) for integration with autonomous underwater vehicles (AUVs). You'll explore how quantum-enhanced sensing can establish a new foundation for resilient navigation in GNSS-denied underwater environments, taking the first steps toward quantum-enabled assured Positioning, Navigation, and Timing (PNT).
Inter-disciplinary project to develop novel Large Language Model (LLM) based AI methods for classification of Digital Human Trafficking (DHT) behaviour in social media posts. It will explore human/AI teams for information foraging tasks to deliver a step change in capability for early detection and intervention of DHT into terrorism.
This interdisciplinary project aims to develop human-centred AI decision support to help operators of complex systems in a way that is reliable, trustworthy and maintains ‘meaningful human control’.