Current research degree projects

Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
This PhD explores how AI tools and research techniques, such as algorithmic game theory, AI-supported mechanism design, and agent-based simulation, can help evaluate industrial collaboration opportunities and policy incentives in the circular economy. Working across disciplines, you’ll develop decision-support tools to assess B2B synergies, design smart contracts, and simulate policy outcomes for more sustainable economic transitions.
This project aims to find experimental ways to couple nuclear spin dynamics to the centre of mass motion/oscillation of optically trapped particles. This will allow to use the quantum features of the spins to control and prepare quantum states of motion, such as macroscopic Schrödinger cat states.
This project aims to interrogate one of the most pressing problems of modern physics, can we describe gravity with quantum mechanics? A thought experiment wherein a test mass in superposition may or may not produce a superimposed gravitational field was proposed and this studentship will contribute to its realisation.
Ready to revolutionize microfabrication? Traditional gallium ion sources limit ion beam flexibility, but Ionic Liquid Ion Sources (ILIS) unleash a vast variety of ions for precision etching. Southampton’s cutting-edge PhD project, in partnership with Thermo Fisher, explores ILIS fundamentals—pioneering next-gen focused ion beam technology for unmatched etching control.
AI systems are becoming powerful persuaders, capable of influencing opinions, behaviours, and even critical decisions. This PhD dives deep into the risks of AI-driven manipulation, exploring how people respond to machine-generated arguments and trust AI advice. Through experiments and user studies, you’ll help shape safer, more ethical human–AI communication.
Join a PhD project using machine learning to revolutionise aerospace design. You’ll develop intelligent algorithms to enhance aerodynamics, structures, and system integration, creating faster and more efficient aircraft. Ideal for students with strong aerospace or related backgrounds, programming skills, and a passion for applying AI to real engineering challenges.
High-voltage direct current (HVDC) cables are critical for connecting offshore wind farms and renewable energy grids, yet current insulation materials like XLPE are difficult to recycle and prone to space-charge ageing. This project pioneers recyclable polypropylene with engineered materials to overcome these challenges, creating greener, longer-lasting, and more efficient insulation systems.
This PhD project focuses on developing silicon photonic sensors that can detect early biomarkers of sepsis in children - quickly, accurately, and at the point of care.
This project investigates the microstructural evolution and mechanical behaviour of laser-sintered lunar regolith. Combining advanced microscopy, nano-/micro-mechanical testing, and graph neural network modelling, the research will uncover how glass formation and pore topology control strength, enabling predictive design of next-generation regolith-based building materials.
Join the CORNERSTONE Photonics Innovation Centre’s (C-PIC)’s Open Platform to develop multimodal machine learning that revolutionises silicon photonics manufacturing. Using open datasets from design, simulation, test, fabrication, and metrology, you’ll create multimodal AI frameworks that predict process outcomes, optimise fabrication, and accelerate sustainable, cost-efficient development of photonic integrated circuits.