PhD Robotics and Artificial Intelligence / Overview

Year of entry: 2027

Degree awarded
Doctor of Philosophy
Duration
4 Years [Full-time]
How to apply

Visit the RAINZ CDT Apply page for information on available projects and to complete the application form.

Programme options

Full-time Part-time Full-time distance learning Part-time distance learning
PhD Y N N N

Programme overview

The EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) develops the multi-disciplinary robotic systems needed to manage the lifecycle of critical infrastructure, from wind turbines to nuclear reactors, in support of the UK's net zero strategy.

As a postgraduate researcher on this CDT, led by Professor Simon Watson, you will train alongside researchers from The University of Manchester, the University of Glasgow and the University of Oxford, contributing to an industry co-created research cohort challenge during the research component of the programme.

Apply for one of our advertised CDT projects, or contact the RAINZ CDT team if you have any questions about the programme or application process.

Discover more about the RAINZ CDT.

Fees

Fees for entry in 2027 have not yet been set. For reference, the fees for the academic year beginning September 2026 were as follows:

  • PhD (full-time)
    UK students (per annum): Band A - £5,238; Band B - £7,700; Band C - £13,200, Band D - £21,200; Band E £36,100
    International, including EU, students (per annum): Band A - £29,900; Band B - £32,400; Band C - £37,900, Band D - £45,900; Band E £60,800

Contact details

Department
Department of Computer Science
Website
https://www.rainz-cdt.ac.uk/
School/Faculty overview

The School of Engineering creates a world of possibilities for students pursuing skills and understanding. Through dynamic research and teaching we develop engineering solutions that make a difference to society in an ethical and sustainable way.  Science-based engineering is at the heart of what we do, and through collaboration we support the engineers and scientists of tomorrow to become technically strong, analytically innovative and creative. Find out more about Science and Engineering at Manchester .

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