UKRI AI Centre for Doctoral Training in Decision Making for Complex Systems
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The UKRI AI Centre for Doctoral Training (CDT) in Decision Making for 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 machine learning researchers 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.
Manchester is investing heavily in AI research and translation, and the CDT will complement other significant efforts in research through the AI Fundamentals Centre at the University and innovation via the Turing Innovation Catalyst. Our partnership with Cambridge will also enable us to educate experts capable of generalising and translating nationally to stimulate the development and adoption of AI technology in high-potential, lower AI-maturity sectors.
Dr Mauricio Alvarez / CDT Director