Post Doctoral Training Fellow – Online Adaptive Radiotherapy (Rt) Modelling.

THE INSTITUTE OF CANCER RESEARCH; Greater London; In loco; GBP 42.000 - 56.000; Tempo pieno

Vantaggi offerti da questo lavoro

Dynamic research environment

State-of-the-art facilities

Collaboration with leading researchers

Competitive salary and pension

Descrizione del lavoro

The Institute of Cancer Research seeks a highly motivated post-doctoral training fellow to advance online adaptive radiotherapy (RT) on MR-Linac and related platforms at the Royal Marsden Hospital.

You will work within a cross-disciplinary team to develop real-time plan refinement and QA frameworks for MR-guided RT, aiming to demonstrate patient benefit in collaboration with clinicians and industry partners.

Competenze

• PhD in Physics, Engineering or a related field.
• Candidates nearing completion may apply, but PhD must be awarded within 6 months.
• Postdoctoral Training Fellows can be employed up to 7 years total at the ICR.

Mansioni

• Develop a framework for dynamic plan refinement in real-time for MR-guided RT.
• Accelerate automated, on-line adaptive treatment planning.
• Devise QA strategies for real-time adapted RT.
• Collaborate with clinicians and industrial partners.

Conoscenze

PhD in Physics

PhD in Engineering

Radiotherapy physics experience

Optimization algorithms

MR imaging

MR-guided RT experience

Formazione

PhD in Physics or Engineering

Descrizione del lavoro

Under the guidance of Professor Uwe Oelfke, we are seeking a highly motivated and creative post-doctoral training fellow who is focused on a career in research to contribute to the development and clinical implementation of online adaptive RT on advanced treatment platforms (MR-Linac, C-arm linac and gantry-based treatment units) at the Royal Marsden Hospital (RMH).

The successful candidate will develop a framework for dynamic plan refinement in real-time for MR-guided RT, acceleration of automated, on-line adaptive treatment planning and devise strategies for quality assurance (QA) of real-time adapted RT. The final aim of this research is to demonstrate benefit of this cutting-edge technology for patients in collaboration with clinicians and industrial partners.

The projected research is part of a larger program of work funded by a Cancer Research UK (CRUK) program grant and the successful candidate will drive the work forward within a multi-disciplinary team of computer scientists, medical physicists and clinicians in the Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust.

About you

The successful candidate must have:

• A PhD in Physics, Engineering or another relevant field and ideally have experience in radiotherapy physics, optimisation algorithms and/or MR imaging and MR-guided RT.

• Candidates who are nearing completion of their PhD may apply, but confirmation of awarded PhD is required within 6 months of employment.

• The ICR has a workforce agreement stating that Postdoctoral Training Fellows can only be employed for up to 7 years as PDTF at the ICR, providing total postdoctoral experience (including previous employment at this level elsewhere) does not exceed 7 years.

For general information on Postdocs at The ICR, more information can be found here.

Department/Directorate Information

The Radiotherapy Physics Modelling team sits within the Joint Department of Physics - The Institute of Cancer Research, London which spans both The Institute of Cancer Research (ICR) and the Royal Marsden NHS Foundation Trust (RMH). The team is primarily focused on the development and application of novel technology to further radiotherapy treatments. This includes novel treatment planning techniques, the development of new optimisation algorithms and using modern computer hardware to enable real-time online plan optimisation.

What we offer

• A dynamic and supportive research environment
• Access to state-of-the-art facilities and professional development opportunities
• Collaboration with leading researchers in the field
• Competitive salary and pension