Join over 500 researchers working with industry and government to address some of the problems facing the world today.
Electronics and computer science (ECS) is the leading university department of its kind in the UK. We were on of the first universities to be named an Academic Centre of Excellence in Cyber Security Education (ACE-CSE) by the UK government.
Our research is organised around research groups and centres. You'll join one of these groups. This means that specialist academics will always be on hand to hear your ideas and offer help and encouragement. With around 250 staff, ECS has unrivalled depth and breadth of expertise.
You'll have the freedom to run your own project and you'll be supported by a team of supervisors. Direct and regular contact with your supervisors will help you develop your scientific insight, and steer you towards creative and original thinking.
Our graduate school provides training on transferable skills, courses on research methodology, and a working framework to help you settle into a disciplined working routine. You'll also have opportunities to travel to international conferences and events to present your work.
ECS holds an annual careers fair that attracts major companies. The majority of our graduates take up roles in the technology industry or develop their research interests further. If you have a great idea our Future Worlds startup accelerator is there to nurture aspiring entrepreneurs through one-to-one support and its network of investors.
This is our standard 3-year research degree. When you apply, you'll choose one of the following:
SustAI is a multidisciplinary and inclusive doctoral training programme. The CDT will provide 70 fully funded PhD studentships over 5 cohorts. SustAI will equip students with state-of-the-art AI technical skills and a deep understanding of how these skills can be applied to address pressing environmental challenges. To register your interest, please sign-up for the newsletter here.
Contribute to the field of research in computer science and software, either in person or through distance by completing a PhD with us.
Contribute to the field of research in computer science and software, either in person or through distance learning, b
A key feature of ECS is that we are truly interdisciplinary. Many of our research groups sit at the interface between electronics and computer science, including cyber security and cyber physical systems. Areas include:
The University of Southampton is pleased to announce that PGR students from EU and Horizon associated countries joining us in 2024-25 will pay the same as UK PGRs for their PhD.
You can either apply for a structured studentship or propose your own PhD idea.
Structured studentships are advertised PhD projects with a title, supervisor, remit and funding already in place. These projects have been set up through collaborations with industry, external partners or they may have been provided through one of several centres for doctoral raining which we take part in.
Taking one of our structured studentships will give you access to additional training, conferences and secondments.
This 4-year integrated programme (iPhD) focuses around 5 research themes where AI can improve environmental sustainability:sustainable operations and circular economyAI for transportation and logisticsAI for sustainable energy and buildingsAI for the natural environmentsustainable AI
This project will explore the use of advanced computational methods to improve X-ray tomographic imaging methods used in the inspection of high value assets.
This PhD project tackles the urgent need for robust security solutions in cross-chain environments in Web3, aiming to safeguard the integrity of interconnected blockchain networks.
This project develops next-generation Vision-Language Models (VLMs) sensitive to cultural diversity, addressing critical biases in current AI systems. Current VLMs often perpetuate harmful stereotypes due to their training data. This research investigates how cultural biases manifest in VLMs and develops innovative mitigation techniques, leading to more inclusive and equitable AI.
Our 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 will explore themes in artificial intelligence (AI), machine learning, and provenance data to analyse research software development, verify contributions, and enhance peer review transparency. Supervised by experts and supported by leading institutes, this project offers the chance to shape how research software is evaluated, credited, and integrated into academia.
Flexible electronics are transforming modern technology, enabling lightweight, bendable, and wearable devices that integrate seamlessly into everyday life. From healthcare to smart packaging, flexible electronics provide novel functionalities that rigid counterparts cannot achieve. This project aims to develop highly reliable, durable, and high-speed non-volatile memory on flexible substrates.
Hypoxic-ischaemic encephalopathy (HIE) affects babies' brains during the childbirth due to shortages of oxygen. Using computer vision and machine learning techniques, HIE disease is diagnosed much earlier than two years which is the current normal practice in hospitals. As a result of HIE early detection, then early interventions can be applied to improve the babies health.
This project will incorporate specific choices of configurations of quantum state preparation gates that use integrability to control the search spaces to be explored.
This project aims to develop advanced technologies and systems that integrate biological sensors, data analytics, and artificial intelligence to monitor, diagnose, and manage health conditions and diseases. These systems are designed to provide real-time, accurate, and personalised information about a person's health status, allowing for timely interventions and better healthcare decision-making.
This research project will explore how Artificial Intelligence (AI) can be strategically integrated into maritime operations to enhance decision-making, improve operational efficiency, reduce environmental impact, and mitigate risks associated with navigation, logistics, and sustainability.
This project will focus on the use of FLOWBIO’s S1 wearable, biometric wearable data and lab-based physiological data to develop novel machine learning, artificial intelligence (AI) implementations and developments for hydration status and performance.
This PhD project explores the application of advanced machine learning on wearable biosignal data, such as heart rate and activity levels, to enhance personalized health monitoring. Focus areas include multimodal data integration, real-time processing, and privacy-preserving techniques for predictive health insights, offering impactful advancements in personalized digital healthcare solutions.
This project will propose mathematical decision-support tools to assist an operator in making the UK electrical grid more resilient against unforeseen attacks and develop algorithms that enable us to solve such models both efficiently and quickly.
This project will develop a novel memristor device using nanoporous materials for the new generation of time and power efficient neuromorphic computing and AI.
The aim of this project is to utilise state-of-the-art 3D lithography in combination with state of the art electrodeposition to realise magnetic nanowires with controllable “flying” domain wall qubits, paving the way towards a quantum computer based upon spin textures in 3D magnetic nanowires.
This project aims to discover novel side-channels and investigate their countermeasures using machine learning approaches.
The aim of the project is to develop a novel platform technology for quantum reservoir computing, a promising approach for quantum neural networks where quantum information can be used as data in machine learning algorithms.
This PhD project will develop a new sensor technology to diagnose bacterial infections rapidly.
The main goal is to improve the state-of-the-art mechanisms for the allocation of scare resources from different, and not always compatible, perspectives of efficiency, fairness and resilience. Multi-agent systems and machine learning techniques will be used to develop better and more sustainable mechanisms.
This project explores how quantum techniques can reduce communication complexity in distributed systems. It involves studying classical and random communication complexity theories, and applying quantum methods like entanglement and superposition.
We offer a wide range of fully funded studentships. We run several of our PhD studentships in partnership with doctoral training centres, meaning you'll benefit from enhanced training and guaranteed funding.
These studentships:
Doctoral training centres offer fully funded studentships which include:
In association with the UK joining the EU Horizon Programme, the University of Southampton will be introducing and applying an EU fee waiver for students joining us from EU and Horizon associated countries. This means that PGR students joining us from 2024-25 will pay the same fees as UK PGR students.
See here for full information terms and conditions
We offer scholarships and teaching bursaries ourselves. Your potential supervisor can guide you on what is available.
If you’re an international student you may be able to apply for a scholarship from your country.
Find out more about scholarships
Once you've found a supervisor, they can help you with potential funding sources. We offer match funding in some cases.
You'll need to state how you intend to pay for your tuition fees when you submit your application.
Find out more about funding your PhD
You may be able to fund your postgraduate research with funding from your current employer or from industry.
You can borrow up to £29,390 for a PhD starting on or after 1 August 2024. Doctoral loans are not means tested and you can decide how much you want to borrow.
Find out about PhD loans on GOV.UK
You may be able to win funding from one or more charities to help fund your PhD.
We charge tuition fees for every year of study. If you’re applying for a fully funded project, your fees will be paid for you.
EU Fee Waiver: If your country is part of the Horizon Europe Programme, you will pay the same fees as UK students.
Find out if your country is part of the Horizon Europe programme
2023 to 2024 entry:
| Subject | UK and Horizon programme applicants | International fees |
|---|---|---|
| Computer science full time | £4,712 | £25,500 |
| Computer science part time | £2,356 | £12,750 |
| Electronics and electrical engineering full time | £4,712 | £25,500 |
| Electronics and electrical engineering part time | £2,356 | £12,750 |
2024 to 2025 entry:
| Subject | UK and Horizon programme applicants | International fees |
|---|---|---|
| Computer science full time | £4,786 | £26,100 |
| Computer science part time | £2,393 | £13,050 |
| Electronics and electrical engineering full time | £4,786 | £26,100 |
| Electronics and electrical engineering part time | £2,393 | £13,050 |
2025 to 2026 entry:
| Subject | UK and Horizon programme applicants | International fees |
|---|---|---|
| Computer science full time | To be confirmed Spring 2025 | £26,700 |
| Computer science part time | To be confirmed Spring 2025 | £13,350 |
| Electronics and electrical engineering full time | To be confirmed Spring 2025 | £26,700 |
| Electronics and electrical engineering part time | To be confirmed Spring 2025 | £13,350 |
You're eligible for a 10% alumni discount on a self-funded PhD if you're a current student or graduate from the University of Southampton.
Our research takes place in a multidisciplinary, collaborative environment, organised across globally important research groups and national research centres.
We offer 2 doctoral routes:
If you choose our standard research PhD, decide whether to apply to an advertised research project or create your own proposal.
Whichever programme you choose, you'll need to identify a potential supervisor. Therefore it's a good idea to email supervisors working within your field of interest to discuss PhD projects. It's best to do this well ahead of the application deadline.
You’ll find supervisors’ contact details listed with the advertised project, or you can search for supervisors in the staff directory.
As part of your online application, you’ll need to send us:
The application process is the same whether you're applying for a funded project, or have created a research proposal.
You should have a 2:1 honours undergraduate degree or equivalent qualification in a relevant discipline.
If English is not your first language, you'll need an IELTS minimum level of 6.5 with a 6.0 in writing, reading, speaking and listening.
If you are applying for the SustAI iPhD. you'll need an IELTS minimum level of 6.5 with a 6.0 in writing, reading, speaking and listening.
Your awarded certificate needs to be dated within the last 2 years.
If you need further English language tuition before starting your degree, you can apply for one of our pre-sessional English language courses.
Check the specific entry requirements listed on the project you’re interested in before you apply.
Research degrees have a minimum and maximum duration, known as the candidature. Your candidature ends when you submit your thesis.
Most candidatures are longer than the minimum period.
| Degree type | Full time | Part time |
| Computer science PhD | 2 to 4 years | 3 to 7 years |
| Electronics and electrical engineering PhD | 2 to 4 years | 3 to 7 years |
