Why study with us

Our CDT is perfectly placed to deliver outstanding, well-rounded student experience.

Building on a tradition of world-leading research and innovation at Edinburgh, our Centre will train a new generation of interdisciplinary scientists who will shape the development of AI within biomedical research over the next decades. Our students will be equipped with all the technical skills to realise biomedical breakthroughs through AI while anticipating and addressing the societal issues connected with their research.


  • Fully funded 4-year studentship, covering tuition fees, UKRI-level stipend and travel/research support.
  • Extensive choice of projects at the intersection of AI, biomedicine and social sciences, under supervision and guidance of world-leading academic and clinical experts.
  • Interdisciplinary training programme comprising a bespoke bootcamp, taught courses, workshops, group projects and other activities.
  • Opportunities for joint projects, research visits, internships and other collaboration with our extensive network of research and industry partners worldwide.
  • Tailored training in public engagement, entrepreneurship awareness and leadership skills.
  • Wide variety of CDT events throughout the year, including seminar series, masterclasses, summer school, conferences, guest lectures and industry days.
  • Access to state-of-the-art facilities and vibrant world-class research community at the University of Edinburgh.

The CDT is hosted and administered by UoE School of Informatics, in collaboration with the other participating institutes. The School of Informatics enjoys the highest level profile within the international research community, and recent REF assessment has confirmed its place as the top Informatics research centre in the UK. With over 450 academic and research staff and over 850 students, the School of Informatics is the largest in the UK and one of the largest in Europe. The School holds a Silver Athena SWAN award, in recognition of its commitment to advancing the representation of women in science, mathematics, engineering and technology.

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