Active Engineering Education & Skills

Industrial CASE Account - University of Strathclyde 2023

In plain English

AI plain-English summary

The UK Research and Innovation (UKRI) portal lists a single lead organisation for this doctoral training grant, but the funding supports a consortium of universities and companies training the next generation of engineers and scientists. This matters because the UK faces a persistent shortage of skilled researchers in critical fields like advanced manufacturing, quantum technologies, and sustainable energy. Traditional PhD programmes often lack the direct industry engagement needed to turn fundamental science into market-ready products. This grant addresses that gap by funding students who split their time between a university lab and a company, working on real-world problems from day one. If successful, this model produces graduates who can move seamlessly from academic discovery to industrial application. A student might develop a new battery material in the lab one year and help scale its production in a factory the next. Over a decade, a single cohort of these students could accelerate the commercialisation of technologies that improve energy storage, medical devices, or manufacturing efficiency—systems most people never see but rely on daily. The grant itself does not specify a particular scientific breakthrough; it funds the pipeline that makes breakthroughs possible.

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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Industrial CASE Account - University of Strathclyde 2019

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.