Completed Engineering Mathematics & Statistics

STFC Manchester Physics & Astronomy 2015 DTP

In plain English

AI plain-English summary

This grant funds doctoral training partnerships that support postgraduate students in physics and astronomy. The problem it addresses is the need for a skilled scientific workforce. Without sustained investment in training, the UK risks losing its capacity to carry out fundamental research in physics and astronomy—fields that underpin everything from satellite navigation to medical imaging. The abstract describes a funding mechanism, not a specific experiment, so the "gap" is structural: ensuring that talented researchers can pursue PhDs and develop expertise. If this training succeeds, the impact is indirect but real. The students supported will go on to work in universities, national labs, and industries that depend on advanced physics—such as aerospace, telecommunications, and data analytics. Their research may deepen understanding of the universe without immediate practical application, which is typical of fundamental science. Past work in this area has led to technologies like the World Wide Web and MRI scanners, but this grant is about building the people, not the products. The concrete outcome is a cohort of trained scientists who will drive future discoveries, whether or not those discoveries have a direct use today.

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.

STFC Manchester Physics & Astronomy 2017 DTP
STFC Manchester Physics 2018 DTP
STFC Manchester Physics 2019 DTP
STFC Manchester Physics 2020 DTP
STFC Manchester Physics 2021 DTP

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.