UKRI AI Centre for Doctoral Training in Decision Making for Complex Systems

Discover the Centre

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.

Projects

To be announced – please email aidecisionscdt@manchester.ac.uk for updates.

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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

How to apply

Before you start your application, you should have:

You'll also need to make sure you have the following:

  • Supporting statement: A one or two page statement outlining your motivation to pursue postgraduate research, the area(s) of research you’re interested in, why you want to undertake postgraduate research at Manchester, any relevant research or work experience, the key findings of your previous research experience, and techniques and skills you’ve developed.
  • Certificates and transcripts: Certificates and final transcripts of any completed university-level qualifications and interim transcripts for qualifications in progress. If your transcripts are in a language other than English, you must provide an official English translation. If your current weighted average mark or GPA is not included on these documents, please also include an official document from your university verifying this information.
  • CV: Summarising your academic record and highlighting experience that demonstrates your potential to conduct research.
  • English language proof: A certificate or evidence demonstrating your English language ability and proficiency. Applications can be considered without this evidence but any offer would be conditional on meeting minimum requirements.
  • Referees: Names and contact details of two academic referees who we can get in contact with and will support your application.

You should then submit your application form online

Our partners

University of Cambridge
The University of Manchester
UK Research and Innovation (UKRI)

Get in touch

If you're interested in finding out more about our available projects or collaboration opportunities, contact:

E: aidecisionscdt@manchester.ac.uk