find your perfect postgrad program
Search our Database of 30,000 Courses

Refine courses

The University of Edinburgh: Centre for Doctoral Training in Artificial Intelligence for Biomedical Innovation (PhD with Integrated Study)

Institution The University of Edinburgh View institution profile
Department School of Informatics
Web https://www.ed.ac.uk/studying
Study type Research

Summary

Artificial intelligence has immense potential to tackle the major global health challenges, optimise healthcare systems and improve patient outcomes. The greatest challenge to realising this potential is its translation into real-world use.

Our programme aims to address this challenge by training interdisciplinary researchers who would possess the technical skills, biomedical domain knowledge, and experience developing and implementing innovative AI approaches in the private and public sectors.

Who this programme is for

Our programme is especially suitable for those with relatively little prior exposure to computer science and mathematics. This includes clinicians, allied health professionals, and biological/biomedical scientists.

Our graduates will acquire technical skills from computer science, mathematics and statistics, and domain knowledge from biomedical and clinical sciences. You will know how to:

  • practice responsible and open AI research and innovation

  • adopt the best practice for minimising the risk of bias in AI

  • understand the importance of model explainability for clinical use

Four themes

The research programme is organised into four thematic areas, each with an expert theme leader supported by groups of at least twenty project supervisors from across the University:

  • AI for Genomic Medicine

  • AI for Biomedical Imaging

  • AI for Cellular and Molecular Systems Medicine

  • AI for Biomedical & Health Informatics

Programme aims

Our programme provides well-rounded training and development, collaboration and engagement opportunities to turn you into a highly competent, sought-after researcher suited to a variety of careers both inside and outside of academia.

It aims to:

  • train PhD students to use machine learning approaches to address real-world problems in inter-disciplinary biomedical, clinical, and health research settings

  • conduct a broad range of co-designed state-of-the-art PhD research projects with external partners in the public and private sector

  • develop the innovation and entrepreneurship skills of our students through bespoke training programmes and spin-out support

  • foster ethical, reproducible, and open research practices among our students

  • provide experience of conducting research in external organisations through 3-month placement projects

  • promote participation in the programme by students from diverse academic and cultural backgrounds

PhD with Integrated Study

Edinburgh University

Edinburgh. Extraordinary futures await.

The University of Edinburgh is one of the world's top universities, consistently ranked in the world top 50, and placed 34th in the QS World University Rankings 2026.

Our position as one of Britain’s leading research universities was reaffirmed by the results of the 2021 Research Excellence Framework (REF). The University of Edinburgh is one of the world’s top research-intensive universities, ranked 4th in the UK for research power (Times Higher Education, Overall Ranking of Institutions), with 90% of our research activity classified as world leading or internationally excellent in the 2021 Research …

View Profile

Not what you are looking for?

Browse other courses in Artificial intelligence, Informatics or Biomedical sciences, or search our comprehensive database of postgrad programs.

Postgraduate Bursary Opportunity with Postgrad.com

Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.

Click here