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 five 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. Vacancy Description
The Royal Marsden NHS Foundation Trust and Institute of Cancer Research is developing new research areas in artificial intelligence (AI) and machine learning for cancer imaging.
We are looking for an enthusiastic Post-Doctoral Training Fellow to join our pioneering team of imaging scientists and PhD students, with the aim of developing AI and machine learning in whole body MRI, tumour segmentation for quantitative imaging and radiomics.
The post-holder will investigate, develop and apply computational imaging algorithms that will be used to detect disease in whole body MRI and pelvic cancers, as well as to perform volumetric tumour segmentations for use in radiological and radiotherapy clinical applications, including the assessment of tumour response.
There is potential for developing research with industrial partners, as well as working with PhD students.
The successful candidate will be expected to possess a PhD in Physics, bioengineering or medical engineering, strong knowledge of image analysis and computer programming skills.
Proficiency in working with Python the programming language is essential; they should also have a good working knowledge of Unix and Git version control.
Experience in team working within a multidisciplinary environment is also useful.
To apply please submit online application on the ICR Careers site, attaching your CV with the supporting statement (addressing with specific examples where you meet the person specification, a brief description of your research experience and incl.
the names and addresses of at least two referees).
For more details, please refer to the job description and person specification.
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We consider all applications on merit and have a strong commitment to enhancing the diversity of our staff.