Completed Engineering Mathematics & Statistics

DTA - The University of Manchester

In plain English

AI plain-English summary

The University of Manchester receives funding to train the next generation of doctoral researchers across engineering and physical sciences. This grant supports a Doctoral Training Partnership (DTP), a mechanism through which UK Research and Innovation funds postgraduate education. The abstract describes the administrative structure of the award, not a specific scientific project. The funding covers a range of training activities, from individual PhD studentships to collaborative programmes involving multiple research organisations. The impact of this grant is indirect but fundamental. It sustains the pipeline of skilled researchers who will go on to work in academia, industry, and the public sector. These individuals will conduct the fundamental and applied research that underpins advances in areas such as manufacturing, energy, computing, and healthcare. Without sustained investment in doctoral training, the UK would lose the expertise needed to drive innovation in these sectors. This is not a research project with a specific hypothesis or application. It is an infrastructure grant that enables future discoveries. The value lies in the people it trains, not in a single deliverable.

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.

DTA - Manchester Metropolitan University
DTA - University of Salford
DTP - The University of Manchester
DTA - University of Cambridge
DTA - University of Bradford

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.