This PhD position is funded as a part of the EPSRC hub on Probabilistic AI:

https://www.probai.uk/

The hub brings together investigators across six universities (Edinburgh, Lancaster, Manchester, Bristol, Warwick, Cambridge). The project will have a strong computational focus on Bayesian methods for machine learning and AI. Depending on the students interest topics may include

• Scalable inference through Bayesian predictive learning and martingale posteriors,
• Interpreting and understanding Bayesian uncertainty (e.g. for sparse Bayesian neural networks),
• sparse approximation of (multilevel) Gaussian processes

The application will be processed through the PhD in Statistics programme (with specific funding earmarked for ProbAI, which should be indicated in your application):

https://www.maths.ed.ac.uk/school-of-mathematics/research/data-decisions/statistics/phd-opportunities

https://postgraduate.degrees.ed.ac.uk/?r=site/view&id=516&cw_xml= .