Gustavo Carneiro
4 months ago
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EPSRC IDLA
PhD in Robust Learning from Noisy Real-World Data at University of Surrey University of Surrey in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD studentship with a UKRI standard stipend of £25,805 for academic year 2026/27, UK/home fees covered, and a generous research training support grant.
Deadline
Expired
Country
United Kingdom
University
University of Surrey

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About this position
PhD opportunity at the University of Surrey in robust learning from noisy real-world data, hosted by the Centre for Vision, Speech and Signal Processing (CVSSP) and the Surrey Institute for People-Centred AI, in collaboration with the National Physical Laboratory (NPL).
The project focuses on building noise-resilient and generalisable AI models by combining low-rank adaptation and manifold learning to jointly model data, parameters, and uncertainty. The research is aimed at enabling reliable AI in complex environments and has application areas in healthcare, telecommunications, and autonomous systems.
This is a fully funded PhD studentship starting 1 October 2026 for 4 years. Funding includes a UKRI standard stipend of £25,805 for 2026/27, UK/home fees covered, and a research training support grant.
Supervisor: Prof Gustavo Carneiro, Professor of AI and Machine Learning.
Eligibility: applicants should have a First Class undergraduate degree or MSc with Distinction (or equivalent) in mathematics, computer science, physics, or engineering, plus strong mathematical, analytical, and programming skills. Prior experience in AI is expected; experience in tomographic imaging is advantageous. The studentship is open to candidates who pay UK/home rate fees.
Deadline: 12 July 2026.
How to apply: submit your application via the CVSSP/Vision, Speech and Signal Processing PhD programme page. Upload a document stating the project title and the supervisor name instead of a research proposal.
Funding details
Fully funded PhD studentship with a UKRI standard stipend of £25,805 for academic year 2026/27, UK/home fees covered, and a generous research training support grant.
What's required
Applicants should meet the minimum entry requirements for the University of Surrey PhD programme and normally hold a First Class undergraduate degree or an MSc with Distinction (or equivalent overseas qualification) in mathematics, computer science, physics, or engineering. Strong mathematical, analytical, and programming skills are required. Previous experience in AI is expected, and experience in tomographic imaging would be advantageous. The studentship is open to candidates eligible to pay UK/home rate fees.
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