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 computer vision, machine learning and bioinformatics (www.yuanlab.org). We seek to understand why cancer is so difficult to treat – by studying not only cancer cells but also immune cells around them.
In particular, we specialise in the development of machine learning and statistical approaches for digital pathology, and the integration of pathological images with genomics (www.yuanlab.org). This is a rare and rewarding opportunity to participate in a prospective, pioneering study of lung cancers using cutting edge biotechnologies, and collaborate with world-leading teams on the TRACERx program (http://tracerx.co.uk/). You will lead the development of exciting new computational pipelines for analysing digital pathological images of lung cancer. There is also an opportunity to integrate image data with next-generation sequencing data to study how cancer evolves leading to disease relapse and treatment resistance.
You will also join a highly motivated team of computer scientists and bioinformaticians with diverse expertise, 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 exciting new biotechnologies, travel to conferences, and excel in coordinating between programming, generating high quality publications, and conducting biomedical research.
Applicants must hold a PhD in Computer Science, Systems Biology, Ecology, Statistics or Engineering. Good programming skills, preferably in R, Matlab, Python or C, and experience in computer vision, machine learning or statistics are essential. Experience in biomedical image processing and deep learning is desirable but not essential.
Appointment will be on a Fixed Term Contract for 2 years, with a starting salary in the range of £32,200 to £40,100 p.a. inclusive, depending on postdoctoral experience. Future progression is based on annual performance review. Expected start date is 1 May 2020 with flexibility. The successful candidate will be based in Sutton, Greater London.
To apply, please complete an online application including the supporting statement and contact details of two referees. Please include the following to your application:
- A full CV with a publication List
- Research plan (one to two pages outlining your current research interests and research plans for the next 2 years)
Please read the job description for further details.