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UKRI Centre for Doctoral Training in AI-enabled Healthcare Systems

UKRI Centre for Doctoral Training in AI-enabled Healthcare Systems

Up to ten 4-year PhD Studentships available starting September 2022

A unique training and research opportunity, preparing future leaders who will go on to solve the most pressing healthcare challenges with the most innovative artificial intelligence solutions.

PhD Training Programme

The CDT offers a four year training programme including a research project, a mixture of relevant taught courses delivered by world leading academics from across UCL departments and a PhD project.

UKRI Centre for Doctoral Training in AI-enabled Healthcare Systems

Why join us?

  • Fully funded 4-year studentship, covering tuition fees, stipend and travel/research support
  • Extensive choice of projects, covering projects in primary and secondary care, in areas including diagnosis, treatment and operations
  • Be supervised by world-leading clinicians and AI researchers in areas related to your research
  • Have the opportunity to not only apply AI to healthcare, but to apply healthcare to AI, generating novel large-scale open datasets driving methodological innovation in AI
  • Work within a real-world setting, embedded within hospitals, allowing you to gain a practical understanding of the value and limitations of the datasets and the translational skills required to put systems into practice
  • Work closely with leading professionals from our NHS and industry partners
  • Tailored training in public engagement, entrepreneurship awareness, responsible innovation and leadership
  • Opportunities for internships or placements with our public/ industry sector partners


CDT studentships fund 4 years of study, covering tuition fees, stipend and travel/research support.

See our website for further details and eligibility.

Entry requirements

A degree equivalent to a UK first class honours, or a high upper second class, Physical Sciences (Computer Science, Engineering, Mathematics and Physics) and Clinical/Biomedical Science. Applicants with a clinical background or degree in Biomedical Science must be able to demonstrate strong computational skills.

How to apply


Please email any questions to

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