Team Leaders in Medical Physics Applied to Oncology

Institute of Cancer Research

The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, laying the foundation for the now universally accepted idea that cancer is a genetic disease. Today, The Institute of Cancer Research (ICR) leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment.

Under the leadership of our Chief Executive, Professor Paul Workman FRS, the ICR is ranked as the UK’s leading academic research centre. Together with our partner The Royal Marsden, we are rated in the top four cancer centres globally.

The ICR is committed to attracting, developing and retaining the best minds in the world to join us in our mission – to make the discoveries that defeat cancer.

ICR is seeking to appoint exceptional scientists with a significant track record/career in medical physics, MR imaging and advanced computational methods applied to radiation therapy (RT).  The new teams will be part of the ICR Division of Radiotherapy and Imaging and the RM/ICR Joint Department of Physics.  The mission of the Joint Department is to conduct basic research into physics as applied to radiation therapy and imaging and therefore has a major role in transferring basic physical science techniques to clinical applications in oncology. 

We are seeking to appoint new Team Leaders who will develop excellent research programmes in: 

MR imaging applied to RT. One key component of the candidate’s research is expected to focus on the development of advanced MR imaging for MR guided RT. Key topics of interest include 4D-MRI, functional MRI for treatment prediction, dose painting and therapy response assessment. There is the opportunity to work with the MR-LINAC system at RM/ICR, which is expected to start clinical operation in 2018. 

Computational methods applied to RT. We will consider a broad spectrum of expertise ranging from Ultra-fast computing, Machine Learning and Artificial Intelligence, Image Processing and Big Data Analytics. Key topics of interest include: Automation of treatment planning, image segmentation; prediction of treatment outcomes and radiomics for treatment response monitoring. 

Informal enquiries are welcomed, and should be addressed to Professor Uwe Oelfke (email: Uwe.Oelfke@icr.ac.uk). 

Please indicate in your application if you are applying for the role of Team Leader in MR imaging applied to RT (Job Ref. 307) or for the Team Leader in Computational methods applied to RT (Job Ref. 307a)

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