Completed Engineering Education & Skills

Dtg 2013 & 2014

In plain English

AI plain-English summary

Doctoral Training Partnerships fund postgraduate students across a range of scientific disciplines, supporting their research through to PhD completion. This matters because the UK’s research base depends on a steady pipeline of skilled scientists, engineers, and clinicians. Without sustained investment in doctoral training, the country risks losing the expertise needed to tackle complex challenges—from developing new medical treatments to improving manufacturing processes and securing digital infrastructure. The partnerships consolidate funding and supervision across multiple universities, ensuring students receive broad, high-quality training rather than working in isolation. If these programmes succeed, they will produce a generation of researchers capable of advancing fundamental science and translating discoveries into real-world applications. Past doctoral training has led to breakthroughs in areas such as drug development, renewable energy, and artificial intelligence. While this grant does not fund a specific research project, it underpins the entire system that makes such discoveries possible. The impact is indirect but essential: without trained researchers, the UK’s ability to innovate in healthcare, engineering, and technology would steadily erode.

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.

Dtg 2011/12
Dtg 2011/13
Dtg 2012 #13
Dtg 2011/10
Dtg 2011/14

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.