Surrey Institute for People-Centred AI studentships
The Centre for Doctoral Training in People-Centred AI provides an enhanced PhD research and training programme in collaboration with industry.
Start date1 October 2023
Funding sourceUKRI and/or University of Surrey
The studentship will provide a stipend at UKRI rates (currently £17,668 for 2022/23) and tuition fees for 3.5 years. An additional bursary of £1,700 per annum for the duration of the studentship will be offered to exceptional candidates.
The Centre for Doctoral Training in People-Centred AI supports interdisciplinary AI research from fundamental theory through to practical application led by research groups across our network of staff.
AI-based machines and systems are performing tasks across an ever-increasing variety of fields, often faster and at a fraction of the cost of their human competition. Far from being limited to manual labour, today’s machines are diagnosing disease, keeping us safe both online and in the physical world, practicing law, and even creating art. Intelligent automation is the future – the economics are too compelling for any other outcome – and the role of research is to capitalise on the myriad opportunities AI offers, to predict and solve challenges along the way, and to ensure future AI systems are fair and explainable.
The University of Surrey leads on both the fundamental artificial intelligence theory – pioneering new machine learning algorithms and the understanding of black box AI systems – and the application of AI for the benefit of society through healthcare, security, education and entertainment.
Related linksTraining at the Surrey Institute for People-Centred AI
How to apply
Applications should be submitted via the application portal for the PhD programme specified in the individual project advertisements:
- Aerodynamic and Environmental Flow PhD
- Computer Science PhD
- Physics PhD
- Vision, Speech and Signal Processing PhD.
In place of a research proposal you should upload a document stating:
- The title of the projects that you wish to apply for (up to 2)
- The name(s) of the relevant supervisor.
You must upload your full CV and any transcripts of previous academic qualifications.
You should enter ’Faculty Funded Competition’ under funding type.
For informal enquiries, please follow the link to the project that interests you. You will then be able to contact the relevant project supervisor.