Active Engineering Education & Skills

DTP 2224 Queen's University Belfast

In plain English

AI plain-English summary

Queen’s University Belfast is training the next generation of doctoral researchers through a structured partnership with UK Research and Innovation. This funding supports postgraduate students across a range of scientific and engineering disciplines, ensuring that skilled researchers are available to tackle complex problems in both academia and industry. Without sustained investment in doctoral training, the UK risks losing the expertise needed to maintain its research base and to innovate in sectors such as manufacturing, energy, healthcare, and digital technologies. If successful, this programme will produce highly trained scientists and engineers who go on to work in universities, startups, and established companies. The impact is not immediate or visible in a single product, but it is foundational: a steady pipeline of people who can design better batteries, improve water treatment systems, develop new medical diagnostics, or strengthen the country’s cyber security. The grant itself is a training mechanism, not a specific research project, so its value lies in the long-term capability it builds rather than any single discovery.

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.

DTP - Queen's University of Belfast
DTP 2224 Queen Mary University of London
DTA- Queen's University Belfast
DTA - Queen's University Belfast
DTP 2224 University College London

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.