Gustavo Carneiro

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.