PhD AI in Decision Making for Complex Systems CDT

The Centre for Doctoral Training (CDT) in AI for Decision Making in Complex Systems is a 4-year programme that will educate the next generation of AI researchers to develop and deploy new machine learning models that can efficiently cope with uncertainty in complex systems. Bringing together researchers in machine learning from the universities of Manchester and Cambridge, the CDT will be grounded in the research areas of physics and astronomy, engineering, biology, and material science, as well as a cross-cutting theme of using AI to increase business productivity, ultimately applying the research to real-world scenarios.

The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD (or international equivalent) OR any upper-second class (2:1) honours degree and a Master's degree at merit in a discipline directly relevant to the PhD (or international equivalent).