Martingale Postgraduate Foundation partners with Centres for Doctoral Training in Future Climate and Statistics at Imperial College London

The Martingale Foundation is thrilled to announce the expansion of our partnership with Imperial College London to co-fund places on two EPSRC Centres for Doctoral Training (CDT).

Martingale will co-fund PhD places on the EPSRC CDT in Statistics and Machine Learning (StatML) along with the EPSRC CDT in Mathematics for our Future Climate: Theory, Data and Simulation (MFC).

EPSRC CDT in Statistics and Machine Learning

StatML, a collaboration between Imperial College London and University of Oxford, offers a four-year PhD/DPhil research programme. The course focuses on statistics and statistical machine learning. An established programme that supports over 15 students per cohort, the CDT encourages students to develop new statistical methods and theories to tackle global challenges, drive breakthroughs and solve real-world problems in government, medicine, industry and science.

StatML is cultivating the next generation of statisticians and machine learning experts. The course will support students to develop advanced cutting-edge methodologies that underpin data science and AI, as well as equipping them with the highly sought-after transferable skills that are in demand across industries and businesses.

Recognising the importance of statistics and machine learning in today’s society, Martingale is eager to support students to access specialised postgraduate study in this critical field, pioneering a cohort for future leaders to thrive and fostering more equitable access to education.

EPSRC CDT in Mathematics for our Future Climate: Theory, Data and Simulation

Imperial College London, University of Reading and University of Southampton are collaborating to run the new PhD programme that is the MFC CDT. MFC responds to the urgent need for skilled mathematicians equipped to tackle climate change challenges. With climate change an ever-pressing global issue, the MFC CDT aims to train a new generation of mathematicians in mathematical modelling, scientific computing, statistics, and data science. By focusing on interdisciplinary collaboration between mathematical, computational, ocean, atmospheric, and engineering sciences, the program seeks to address the skills gaps and foster collaboration across climate challenges.

One of the key strengths of the MFC CDT lies in its diverse partnerships in academic institutions, organisations and across industry, ensuring a comprehensive approach to climate research and training. Martingale recognises the importance of mathematical sciences in tackling climate challenges and how the MFC CDT is well-positioned to support mathematical students to address these issues, contributing to a sustainable future for all.

In each of these CDTs, students take part in cohort-based training and undertake significant original research projects, leading to the award of a PhD/DPhil. Cohort-based training supports students to collaborate and thrive in an academic setting and is an essential component of being a Martingale Scholar.

Cassandra Hugill, Chief Executive of Martingale Foundation, shares “We are delighted to be partnering with these two pioneering CDTs. Both programmes offer students endless opportunities to develop while making a substantial contribution to society and our future. I look forward to supporting future Martingale Scholars to be a part of these impactful programmes.”

Imperial College London is a founding university partner of the Martingale Foundation. This partnership expansion will ensure more talented people access postgraduate study, furthering our mission to widen postgraduate access in STEM.

For more information and details on how to apply, please see the respective course pages: