Convergence Science Non-Clinical PhD
Data Science
The CRUK Convergence Science Centre (CSC) is partnering with the EPSRC for CDT in Statistics and Machine Learning (StatML) to provide a 4 year PhD studentship. This programme will train the future academic leaders in cancer research and statistical machine learning.
1. World class training
Students will follow the four-year version of the non-clinical PhD training programme. You will be trained by world leading experts in cancer biology, engineering and physical sciences at Imperial and the ICR. This will enable you to acquire a broad skill set and learn the language of multiple disciplines.
2. High-quality research outputs
With a range of outputs spanning research publications, presentations at relevant conferences, the PhD will provide you the grounding for your future success as a convergence scientist.
3. Convergence Science Centre Bespoke Training programme
The scientific landscape is constantly evolving, with disciplines merging into novel entities. To navigate interdisciplinary research, our students are required to develop flexibility by learning to integrate diverse skill sets. To support them, we've designed a training programme aimed at developing skills required to work across the boundaries of different disciplines.
All of our Non-Clinical PhD studentships are 4 years in length and students will be under the guidance of a supervisory team of world-class researchers across the two institutions, Imperial and the Institute of Cancer Research. Successful candidates will receive:
Students enrolled on the programme will be provided with bespoke training to develop the skills required to work across the boundaries of different disciplines.
The standard Convergence Science Centre PhD programme and studentship academic eligibility criteria are:
A first or upper second-class honours degree (or equivalent from a non-UK university) in a relevant subject.
A master’s degree in a relevant subject
Appropriate English language skills.
1. Q+A with Directors - 18th December 2024
You can sign up to this session by registering here.
2. Apply for studentship - 8th January 2025, 12pm midday (UK time)
Applications should be made using Imperial Recruitment system: MyImperial by 12pm midday (UK time) on Wednesday 8th January 2025.
Search for “EPSRC Centre for Doctoral Training in Statistics and Machine Learning (CDT) (PhD 4YFT) and select Autumn 2025”.
If you have any general questions, please contact statml.io.admissions@imperial.ac.uk
3. Candidate shortlisting - Early 2025
List of projects will be sent to shortlisted candidates followed by Interview by Supervisors and CDT Directors.
Further information on the application process can be found here; Admissions – StatML
For more information on this opportunity and enquiries relating to CSC and StatML Training programme, please contact
icr-imperial-convergence.centre@imperial.ac.uk and statml.io.admissions@imperial.ac.uk.