Active Education & Skills

UDLA 2527 Imperial College London

In plain English

AI plain-English summary

This grant funds doctoral training partnerships at Imperial College London, supporting a cohort of PhD students across engineering and physical sciences. Postgraduate training is the engine of UK research, but it requires sustained investment. Without dedicated funding streams, universities cannot recruit and train the next generation of scientists and engineers. This grant fills that gap by providing the financial structure for studentships, covering stipends, fees, and research costs for multiple doctoral projects. If successful, this training will produce skilled researchers who go on to work in academia, industry, and the public sector. Their work could improve infrastructure, manufacturing processes, energy systems, or medical technologies—but the specific outcomes depend on the students’ individual projects. The grant itself does not dictate research topics; it enables the pipeline of talent that makes future discoveries possible. This is primarily a capacity-building investment rather than a targeted research programme. The long-term impact is a stronger, more diverse UK research workforce capable of tackling whatever scientific and engineering challenges emerge next.

View original technical description
Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

UDLA 2527 King's College London
UDLA 2527 University College London
UDLA 2527 University of Cambridge
UDLA 2527 Queen Mary University of London
UDLA 2527 Lancaster University

Original classification

Training Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.