Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
In this project we will develop novel ways to physically interconnect hollow core fibres with single photon sources and detectors used in quantum memories, computers and networks. The Optoelectronics Research Centre is a world-leader in design and manufacturing of these novel fibres (led by Professor F. Poletti, a co-supervisor of this project).
In this project you will help to advance this new paradigm of non-spherical micro-optics towards a practical quantum technology. You will perform computer modelling and simulations in close collaboration with fabricators and experimentalists.
In this project you will contribute to the design and numerical simulation of advanced photonic devices tailored for quantum applications, working in close collaboration with fabricators and experimentalists. We can also offer a project that combines modelling with experiments if you have the required skills.
Large-scale geological storage of CO2 will reduce net CO2 emissions globally. This project focuses on a CO2 storage candidate within the Wessex Basin, UK. It combines field and laboratory observations with simple modelling to assess the influence of heterogeneities within the Sherwood Sandstone Group (reservoir) and Mercia Mudstone Group (seal) on the geomechanical and fluid flow response of the storage complex.
This PhD project within the Hybrid Quantum Networks Laboratory, concerns the development of a quantum optical memory – a device that stores and recalls on-demand quantum photonic states – to allow for synchronisation capability that will be crucial to scale up a future quantum photonic network.
This PhD project, in the Southampton group of Dr Patrick M Ledingham, concerns the development of a quantum optical memory – a device that stores and recalls on-demand quantum photonic states – to allow for synchronisation capability that will be crucial to scale up a future quantum photonic network.
This project aims to investigate the optoelectronic properties of semiconductor nanocrystals, to study light emission dynamics and photon correlation, and to optimise the chemical composition and processing methods for achieving improved brightness and purity.
This project aims to understand phonon anharmonicity and polaronic effects in perovskite semiconductors and to identify, develop, and implement vibrational engineering strategies to improve charge transport and material stability.
The project focuses on the theory, algorithms and applications for Machine Learning (ML) based on generalised nonconvex low-rank models. The goals include designing faster algorithm, understanding the working principle behind ML, applying ML to solve application problems.
In this project, the student will develop new technologies for integrated quantum optical chips allowing programming and tuning of devices under different operating conditions and in particular for operation in a cryogenic environment.