News
The Cancer Research UK Convergence Science Centre PhD Programme aims to train the next generation of convergence scientists by supporting novel and impactful PhD proposals that will equip students with cutting-edge research skills. Trainees will be supervised by experts in cancer biology and engineering and physical sciences (EPS). Please note that each project must have at least one supervisor from the Institute of Cancer Research (ICR) and one from Imperial College London.
We understand that finding a partner from a different discipline and institution can be challenging. Therefore, the Centre is committed to helping you find your perfect match. If you wish to use our matchmaking service, please submit a one-pager document summarising your idea and, if possible, the expertise you are seeking. Our team will use their knowledge to guide you to the best match. Submit your one-pager to icr-imperial-convergence.centre@imperial.ac.uk as soon as possible to ensure we have enough time to assist you.
As a quick recap, here are the details about the call:
What is available?
We are pleased to announce funding for our highly competitive non-clinical PhD Studentships, which include a fixed annual stipend of £23,000, a research consumables budget, and home fees for four years. While funding for overseas fees is not provided, offers can be made to overseas students if they secure support for the difference in international fees.
What are we looking for?
We seek proposals suitable for a four-year PhD project aligned with our strategic thematic area: "Visualise and localise cancer at microscale." We invite applications aimed at advancing cancer detection at microscale, focusing on early stages of the disease and microlesions (including marginal residues, dormant lesions, and metastases). Proposals can explore various physical, mathematical, or chemical approaches, applied clinically or preclinically, for tracking and imaging microscopic tumour lesions. This may encompass medical or surgical imaging, chemical tracking, artificial intelligence-assisted imaging, or any technology or methodology applied to detecting and localising microscopic cancer sites.
Proposals must:
We encourage applications from early-career researchers who meet institutional requirements for supervising a PhD and will have tenure for the duration of the studentship.
Key dates:
Application deadline: 13th September 2023
Outcome: 2nd October 2023
For further information, please refer to our PhD Application Guidelines and associated application form available on our website.