Completed Engineering Education & Skills

DTA - University of Nottingham

In plain English

AI plain-English summary

The University of Nottingham receives funding to train the next generation of doctoral researchers across science and engineering disciplines. This grant supports a Doctoral Training Partnership (DTP), a framework through which the Engineering and Physical Sciences Research Council (EPSRC) funds postgraduate education. The abstract describes the administrative structure rather than a specific research project: the DTP provides a pipeline for PhD students to conduct fundamental and applied research across multiple fields. The problem it addresses is the need for a sustained, skilled workforce capable of tackling complex scientific and engineering challenges. If successful, the DTP will produce researchers who go on to work in academia, industry, and public service. These individuals may contribute to advances in areas such as manufacturing, energy systems, computing, or healthcare technologies—fields that underpin everyday life but often operate out of public view. The training itself is not a single experiment or discovery; it is an investment in human capital. Similar past investments have yielded researchers who later developed innovations in materials, electronics, and infrastructure. The impact is long-term and diffuse, emerging over decades as trained scientists enter the workforce.

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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DTA - Nottingham Trent University
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UDLA 2527 University of Nottingham

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.