Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
Gas sensing is a vital technique for many applications, including medicine and environmental monitoring. However, there can be difficulties with many commonly used techniques. The use of quantum technology (such as entangled photons and single photon counting techniques) may be able to alleviate these, and this project will explore this.
The project focuses on advancing quantum photonics through the development of scalable, on-chip single-photon sources using nitrogen rich silicon nitride (N rich SiN).
The aim of this project is to design, develop, and translate 3D nanoscale metamaterials for real-world applications. In this work, nanoscale particles can be assembled into macroscopic structures, creating a new class of materials where the desired properties are enhanced and scaled to a device level.
Additive manufacturing enables the fabrication of engineering components with a high degree of geometric complexity. This geometric complexity makes the measurement and inspection of metal AM components very difficult. In this project, You will develop new methods for measuring and inspecting complex AM components.
The main goal of this project is to investigate and design novel electrodes for minimally invasive brain sensing.
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.
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.
天发娱乐棋牌_天发娱乐APP-官网|下载 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.
This project investigates novel materials such as twisted 2D materials and complex oxides to develop advanced sensors capable of detecting dynamic processes with ultra-high sensitivity for applications in nanometrology and nanoelectromechanical systems (NEMS).
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.