We are Training Inter-Disciplinary Scientists to Innovate in Biomedical Artificial Intelligence Research
The greatest challenge to realising the potential of artificial intelligence in the biomedical domain is its translation into real-world use. We have co-created an AI Centre for Doctoral Training in Biomedical Innovation (AI4BI) to produce inter-disciplinary researchers with both technical skills and domain knowledge, and with experience delivering innovation into the public and private sectors.
Join our CDT
Recruitment is now open for an industry PhD studentship in collaboration with Roche, to start in January
Applications for 2025 intake will open in October: there will be at least 12 fully-funded studentships on offer, open to home and international students.
Find out more about our CDT programme and its benefits here.
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research
You will undertake innovative research co-designed with external patterns to meet real world challenges.
Our research is organised into four research themes. AI for Biomedical Innovation in :-
- Genomic Medicine
- Cellular and Molecular Systems Medicine
- Biomedical Imaging
- Biomedical & Health Informatics
Find out more about our research themes here.
training
You will be trained across a wide range of topics in artificial intelligence, biomedical & health science, high performance computation & software engineering, and responsible innovation & entrepreneurship
Find out more about the structure of our training program here.
Environment
The AI4BI CDT is hosted in the School of Informatics at the University of Edinburgh.
Students will be based in the award winning Informatics Forum & Bayes Centre buildings alongside a vibrant community of over 280 academic and research staff and over 2000 taught and research students. We are the largest computing science department in the UK and one of the largest in Europe.
