Postdoctoral Training Fellow in MLC tracking for MR-guided radiotherapy
Position: Postdoctoral Training Fellow in MLC tracking for MR-guided radiotherapy
Institution: Institute of Cancer Research
Location: London, United Kingdom
Application closes at: Apr 11th, 2020 14:06
We are seeking a highly motivated and creative post-doctoral training fellow who is focused on a career in research to join our team. The post-doctoral training fellow will contribute to the clinical implementation of intelligent MLC tracking on the first UK’s clinical MR-Linac as part of a larger program of work funded by a CRUK program grant. The successful candidate will work in an interdisciplinary team of medical physicists, computer scientists and clinicians in the Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust and be part of a team of post-doctoral research fellows who will work on multiple aspects of online MR-guided radiotherapy. She/He will develop a framework for MLC tracking on the MR Linac which will integrated novel MR sequences, innovative motion modelling and ultra-fast online plan adaption with the aim to demonstrate the benefit of this cutting edge technology for patients in collaboration with the manufacture.
The Radiotherapy Physics Modelling 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.
The post holder 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. Applicants will hold a PhD in Physics, Engineering or another relevant field and ideally have experience in radiotherapy physics, optimisation algorithms and/or MR imaging.
Please contact Professor Uwe Oelfke (firstname.lastname@example.org), if you would like to discuss the job opportunity in more detail. To apply, please upload your CV and complete an online application form, including the supporting statement and the names and contact details of two referees using the ICR’s e-recruitment system, job ref 1020