PhD AI in Decision Making for Complex Systems CDT at University of Manchester

Build AI that can make sense of an uncertain world. The UKRI AI Centre for Doctoral Training (CDT) in Decision Making for Complex Systems develops new machine learning models that can handle uncertainty within complex, real-world systems, from astronomy and engineering biology to materials science. As a postgraduate researcher on this CDT, led by Dr Mauricio A Alvarez, you'll train alongside researchers from The University of Manchester and the University of Cambridge, working on one of three core themes shaping the future of AI-driven decision making.

Faculty: Faculty of Science and Engineering  |  Department: School of Computer Science  |  Duration: 4 Years [Full-time]  |  Study mode: full-time  |  Intake: September 2027  |  Location: Manchester, England, United Kingdom

What you will study

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.

Official programme page