EPSRC IDLA

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.