Applications for our 2025 intake are now closed.


What is the Non-Clinical Data Science PhD programme? 

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.

 

 

EPSRC and StatML logos - square

What are the benefits of undertaking a PhD with Convergence Science Centre? 

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.  

 

What's available? 

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:

  • a fixed, tax-free annual stipend of £23,000 per annum and project costs including tuition fees at the Home rate 
  • 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. 

Students enrolled on the programme will be provided with bespoke training to develop the skills required to work across the boundaries of different disciplines. 


Eligibility 

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. 

 

How to apply

1. Q+A with Directors - 18th December 2024

There will be an online Q & A sessions with Directors to discuss applicants’ questions on the admission process on Wednesday 18th December 2024, 1pm - 1:45pm UK time. Current StatML students will join the directors to cover a breadth of questions from applicants, ranging from programme specifics to student life.

 

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.  

 

4. PhD commences - October 2025

Further Information

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

 

 

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