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Lucia Florescu

2 weeks ago

PhD in AI for Proton-Acoustics and Real-Time 3D Dosimetry for Proton Therapy University of Surrey in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United Kingdom

University

University of Surrey

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Deep Learning
Mathematics
Artificial Intelligence
Medical Science
Tomography
Proton Therapy
Cancer Therapy
Physics

About this position

PhD opportunity at the University of Surrey in AI for medical imaging, with a focus on proton-acoustics and real-time 3D dosimetry for proton therapy. This project sits at the intersection of computer science, physics, mathematics, biomedical engineering, and medical science, and is aimed at improving cancer treatment through accurate in vivo dose verification and beam monitoring.

You will work on deep learning methods for denoising weak and noisy acoustic signals, AI-driven 3D dose reconstruction, and real-time proton beam monitoring. The project is closely connected with the Centre for Vision, Speech and Signal Processing (CVSSP) and the Surrey Institute for People-Centred AI, with collaborations involving the National Physical Laboratory and the Institute of Cancer Research.

Funding: fully funded studentship with a stipend of £25,805 per year, UK-level fees covered, and generous research training support. The opportunity is open only to candidates eligible for UK/home tuition fees.

Eligibility: applicants should have a First Class degree or an MSc with Distinction (or equivalent) in mathematics, computer science, physics, or engineering. Strong programming, analytical, and mathematical skills are required. Prior experience in AI/machine learning is expected, and tomographic imaging experience is desirable.

Deadline: 12 July 2026. Start date: 1 October 2026. Apply via the CVSSP/Vision, Speech and Signal Processing PhD programme page, and upload a document with the project title and supervisor name instead of a research proposal.

Supervisor: Dr Lucia Florescu, Lecturer in Medical Imaging, University of Surrey. Informal enquiries: [email protected].

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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