Completed Engineering Education & Skills

DTA - Loughborough University

In plain English

AI plain-English summary

This grant funds postgraduate training for doctoral students, not a specific research project. The UK’s research base depends on a steady pipeline of skilled scientists and engineers. Doctoral Training Partnerships provide the structured environment—supervision, courses, and resources—needed to turn graduates into independent researchers. Without this funding, universities would struggle to train the next generation of specialists. The impact is indirect but essential. Every piece of research described elsewhere on this site—whether in quantum computing, water treatment, or medical diagnostics—relies on people who were once doctoral students. This grant ensures that training continues. It does not aim to produce a specific discovery or technology. Instead, it maintains the human infrastructure that makes discovery possible. The outcome is a cohort of trained researchers who will go on to work in academia, industry, and the public sector, solving problems that cannot yet be anticipated.

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 ↗

Researchers

Brigette Vale (Principal Investigator)K Austin (Co-Investigator)P Powditch (Co-Investigator)Robert Parkin (Co-Investigator)Stephen Hughes (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

DTA - University of Leicester
UDLA 2527 Loughborough University
DTP - Loughborough University
DTA - 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.