Centres for Doctoral Training (CDTs) are one of the three main ways by which EPSRC provides support for Doctoral Training.
EPSRC-funded centres bring together diverse areas of expertise to train engineers and scientists with the skills, knowledge and confidence to tackle today's evolving issues and future challenges. They also provide a supportive and exciting environment for students, create new working cultures, build relationships between teams in universities and forge lasting links with industry.
Congratulations to leaders of the areas in Mathematics who have been awarded grants, and to the teams that helped with the proposals!
Current EPSRC CDTs
Statistics and Machine Learning (StatML)
Imperial leads: Dr Sarah Filippi and Dr Ed Cohen
StatML is based at Imperial College London and the University of Oxford and aims to train the next generation of leaders in statistics and statistical machine learning, who will be able to develop widely-applicable novel methodology and theory, as well as create application-specific methods, leading to breakthroughs in real-world problems in government, medicine, industry and science. The students’ research will focus on the development of applicable modern statistical theory and methods as well as on the underpinnings of statistical machine learning.
Mathematics for our Future Climate: theory, data and simulation
Imperial lead: Professor Dan Crisan
The MFC CDT, a partnership between Imperial College London, University of Reading and University of Southampton. The PhD programme is a dynamic and interdisciplinary initiative that harnesses the power of mathematics to address the urgent issues presented by climate change. It will train 90 highly skilled mathematicians to become future leaders in innovative research, developing environmental prediction technologies, interpreting very large datasets relating to the Earth system, and modelling the risk associated with extreme weather and climate change. Further, they will translate their research into applications in the public and industrial sectors dealing with risk and uncertainty quantification for weather, oceans and climate.
MFC PhD project areas are split into mathematical theory and numerical modelling of fundamental oceanic and atmospheric processes, analysis of data and assimilation with weather and climate models, and mathematical applications related to the response to climate change.
Geometry and Number Theory at the Interface
Imperial lead: Professor Alessio Corti
This CDT has been set up in partnership with University College London and Kings College London to help train the next generation of pure mathematicians in the core areas of geometry and number theory. Students will have the opportunity to gain a broad foundation in these fields before undertaking a cutting-edge research project. Additionally, communication and coding skills will be incorporated with teamwork as an integral part of the training. Our graduates will contribute to the sustainability of the mathematical sciences as well as the UK economy more widely. Our centre will also find innovative ways to advance women in mathematics.
LSGNT ADMISSIONS FOR SEPTEMBER 2025 INTAKE
The admissions portal for the London School of Geometry and Number Theory (LSGNT CDT), is now open on our website www.lsgnt-cdt.ac.uk. We have fully funded, four-year PhD studentships on offer for our September 2025 intake, with funding for UK and Overseas students (the latter including EU students). Our application deadline is midnight on 31 December 2024 and references are required by 06 January 2025.
Our Centre for Doctoral Training (CDT) is a joint venture between UCL, Imperial College London and King’s College London. We are committed to advancing women in mathematics and particularly welcome applications from women and other under-represented groups. The LSGNT has a diverse cohort; our students come from over all over the globe and from a wide range of backgrounds. Even if you think you are not a typical mathematics PhD student, we encourage you to think again and apply. What we are looking for might not be what you expect. To find out more about our application process, please visit the 'Apply' page on our website and to see what we are looking for in an applicant and what to expect during an interview with the LSGNT CDT, please use the following links below:
What Do We Look for in an Applicant
Mathematics of Random Systems
Imperial lead: Dr Tom Cass
A partnership between three world-class departments in the area of probabilistic modelling, stochastic analysis and their applications: the Oxford Mathematical Institute, the Oxford Department of Statistics and the Deptment of Mathematics at Imperial College London. The CDT aims to train the next generation of academic and industry experts in stochastic modelling, advanced computational methods and Data Science, offering a 4-year comprehensive training programme at the frontier of scientific research in Probability, Stochastic Analysis, Stochastic Modelling, stochastic computational methods and applications in physics, finance, biology, healthcare and data science.
Terms and conditions
Important information that you need to be aware of prior to becoming a student, and also during your studies at Imperial College: