Dear SIPTian,

Are you a Master's student in ML, AI, Statistics, Engineering, or Applied Mathematics and you're interested in a new paradigm for Uncertainty Quantification?

Are you an expert in Conformal Prediction and you want to explore its relationship with model-based approaches? Then consider applying to work with me on these topics <https://www.findaphd.com/phds/project/relationship-between-conformal-prediction-and-credal-probabilistic-machine-learning/?p168861> for your PhD!

You'd be part of the UKRI AI Centre for Doctoral Training <https://ai-decisions-cdt.github.io/hugo-pages/#about> (CDT) in Decision Making for Complex Systems, a newly-established joint CDT between the University of Manchester and Cambridge University.

Collaborations are possible and encouraged between students, supervisors <https://ai-decisions-cdt.github.io/hugo-pages/#people>, and members of the Manchester Centre for AI Fundamentals <https://www.idsai.manchester.ac.uk/research/centre-for-ai-fundamentals/>.

I hope to hearing from you soon,

Yours,

Michele Caprio