Postdoctoral Training Fellow - Image Processing
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.
We seek a Postdoctoral Training Fellow to join the Yuan lab at The Institute of Cancer Research, London (ICR). The main focus of the Yuan lab is to develop new computational approaches for studying cancer by fusing machine learning, digital pathology, and bioinformatics (www.yuanlab.org). Different from traditional cancer-centric approaches, we study tumours from a novel perspective: as evolving ecosystems. We apply advanced machine learning and computer vision and ecological principles to study why cancer is so difficult to treat, by training AI tools to recognise immune cells that can influence cancer evolution.
This is a rare and rewarding opportunity to participate in the Cancer Research UK funded landmark program lung cancer TRACERx (yuanlab.org/tracerx.html). TRACERx lung is a prospective, pioneering study of lung cancer evolution. Our recent progress on AI, histology and cancer evolution was published in the journal of Nature Medicine (doi: 10.1038/s41591-020-0900-x).
We are looking for a highly motivated individual to join this project. You will lead the development of new deep learning systems for analysing digital pathological images and integrating image data with genomics. We expect this exciting project to enable the discovery of new biomarkers and clinical innovations to change the way we treat lung cancer.
You will join a team of computer scientists and bioinformaticians, working closely with clinicians in the vibrant centre of cancer research discovery and therapeutics at ICR London in the endeavour to cure cancer. You will enjoy the highly collaborative nature of this project, learn about the latest biotechnologies, travel to conferences, and excel in coordinating between programming and biomedical research.
Applicants must hold a PhD in Computer Science, Systems Biology, Ecology, Statistics or Engineering. Good programming skills, preferably in Python, MATLAB, R or C, and experience in computer vision, machine learning or statistics are essential. Experience in TensorFlow or Keras libraries is desirable.
Previous applicants need not apply.
This Program is closed to applications.