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/>.
You should apply through the official university's website <https://www.se.manchester.ac.uk/phds-science-engineering/?utm_source=courseprofile&utm_medium=referral&utm_campaign=fse_pgr_2324&utm_content=how_to_apply_apply_compsci#d.en.878434> and create an account. You should then apply for the PhD Artificial Intelligence CDT program (see attached picture). When asked about "Research details", you can use the project details that you can find here <https://www.findaphd.com/phds/project/relationship-between-conformal-prediction-and-credal-probabilistic-machine-learning/?p168861>. You don't need to submit a new research proposal.
I hope to hearing from you soon,
Yours,
Michele Caprio
