Non-Clinical Studentships: Call for Projects in Cancer Research and Statistical Machine Learning

CRUK Convergence Science Centre (CSC) & EPSRC for CDT in Statistics and Machine Learning (StatML)

Overview

These prestigious studentships aim to support the training of future academic leaders in cancer research and statistical machine learning. We are seeking cross-institutional PhD research proposals from Imperial and ICR academics supervisory teams eligible for student supervision. 

The projects must integrate cancer research with statistics and machine learning and also align with the CRUK CSC priorities:

1. Convergence Discovery Research: aiming to identify cancer vulnerabilities through the integration of Discovery Research and clinical materials
2. Interventional Science: covering technological innovations in early detection and diagnosis, novel interventions and therapy monitoring. 

Further details can be found here. 

These studentships at their core need to develop novel statistical and machine learning methodology for application in one of these research themes.

Studentships awarded through these calls will start in October 2025, with students enrolling onto StatML CDT at the Department of Mathematics, Imperial College London.

What is available? 

The studentship will cover tuition fees at home rate and stipend (£23,000 per year) for a total of 4 years. In addition, there is a Research Training and Support Grant to cover travel, conference participation, academic placements and consumables as allowed under the terms and conditions of CRUK and EPSRC. 

What are we looking for? 

• These studentships need to develop novel statistical and machine learning methodology to address an unmet need in cancer.
• Proposed projects must be cross-institutional. There should be at least 1 supervisor from the Department of Mathematics, Imperial College London, and 1 from Institute of Cancer Research (ICR).
• Imperial academics outside Department of Mathematics (e.g. Biologists, physical scientists) are eligible to be on the supervisory team.
• Addresses the need for a convergence science approach to meet the challenge.

Application and Review Process

Register expression of interest: If you are planning to submit a proposal, please fill this form by Monday 16^th September 2024.

How to apply: The awards will be made based on written applications. Applications must be made using the separate application form provided (see below).

Deadline: Please email the completed application form as pdf, .doc or .docx file to CRUK CSC team (icr-imperial-convergence.centre@imperial.ac.uk) and StatML CDT Manager; Gabriella Caminotto (g.caminotto@imperial.ac.uk) by Monday 14th October 2024, 9 am.

Review and Award: Each proposal will be reviewed by the CSC Training Committee and the StatML Scientific Committee, whose expertise cuts across cancer biology, convergence research and StatML.

Get in touch: Please fill this form by Monday 16^th September 2024 to indicate you are interested in submitting a proposal. We actively encourage participants to discuss potential projects with the CRUK CSC team (icr-imperial-convergence.centre@imperial.ac.uk) and CDT Director (statml.director@imperial.ac.uk). If you have any questions, please do not hesitate to get in touch.