Completed Engineering Education & Skills

Industrial CASE Account - University of Cambridge 2015

In plain English

AI plain-English summary

This grant funds a training programme for PhD students, not a specific research project. The UK needs a steady pipeline of skilled scientists and engineers to keep its economy and public services running. Doctoral training partnerships provide the structured environment—courses, industry placements, and supervision—that turns graduates into researchers capable of tackling complex problems. Without this funding, fewer students would complete PhDs in priority areas, and the talent pool for sectors such as energy, healthcare, and manufacturing would shrink. Because this is a training grant, its impact is indirect but long-term. Each cohort of PhD graduates will go on to work in universities, startups, and established companies. Over a decade, these individuals will contribute to advances in everything from battery technology to medical imaging. The grant does not promise a specific invention or discovery. Instead, it ensures that the people who might make those discoveries have the skills to do so.

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.

Industrial CASE Account - University of Cambridge 2014
Industrial CASE Account - University of Cambridge 2011
Industrial CASE Account - University of Cambridge 2012
Industrial CASE Account - University of Cambridge 2013
Industrial CASE Account - University of Cambridge 2017

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.