Completed Engineering Education & Skills

DTA - Queen Mary, University of London

In plain English

AI plain-English summary

This grant funds doctoral training partnerships, not a specific research project—it supports the next generation of scientists and engineers through postgraduate education. The problem it addresses is the need for a skilled workforce in science, technology, engineering, and mathematics. Without sustained investment in training, the UK risks losing its capacity for innovation in fields that underpin modern life—from energy systems and manufacturing to digital infrastructure and healthcare technologies. The grant provides structured funding for universities to recruit, train, and supervise PhD students over several years. If successful, this training pipeline will produce researchers who go on to work in academia, industry, and the public sector. Their work could improve things people rarely think about: more efficient power grids, stronger materials for construction, faster computer chips, or better water treatment methods. The impact is indirect but foundational—it keeps the research ecosystem alive. This is not curiosity-driven science. It is an investment in human capital. The specific discoveries will depend on the students and their projects, but the grant itself ensures that talent has a route into research.

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

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