Summary
The Institute of Cancer Research is seeking a highly motivated PhD student to join our research team focused on developing advanced models for patient motion in image-guided radiotherapy. This innovative project will leverage Bayesian inference and machine learning to enhance cancer treatment precision through real-time motion management.
PhD Studentship in Image-Guided Radiotherapy, Sutton, UK
Designation
PhD Studentship
| Details | Description |
|---|---|
| Primary Supervisor | Dr. Matthew Blackledge |
| Associate Supervisor | Dr. Andreas Wetscherek |
| Secondary Supervisor | Professor Uwe Oelfke |
| Funding | Funded by Cancer Research UK (CRUK) |
| Division | Computational Imaging, Radiotherapy and Imaging |
| Application Closing Date | 03/05/26 |
Research Area
- Image-guided radiotherapy (IGRT)
- Motion management in cancer treatment
- Bayesian modeling and machine learning
Location
Sutton, UK
Eligibility/Qualification
- Essential: First or 2:1 BSc (or MSc) in Physics, Computer Science, Engineering, Mathematics, or a closely related quantitative discipline.
- Desirable: Experience with medical image analysis, Python, and basic statistics.
Job Description
The successful candidate will undertake the following:
- Year 1: Develop foundational Bayesian motion models, focusing on high-dimensional 4D imaging deformation fields.
- Year 2: Personalize motion priors using additional 4D data and calibrate probabilistic mappings for real-time estimations.
- Year 3: Integrate Bayesian forecasting methods to predict future motion and assess predictive accuracy through simulations and evaluations.
- Year 4: Prepare findings for publication and complete the thesis.
How to Apply
Interested candidates should submit their application, including a cover letter, CV, and references, to the designated contact before the application closing date.
Last Date for Apply
03 May 2026
