We are recruiting for the Autumn 2025 cohort for the Centre for Doctoral Training in Mathematics for Our Future Climate! We have several PhD position opportunities at the intersection of data assimilation and machine learning, as well as on predictability, at the University of Reading.

The positions are for fully funded 4-year PhD studentship. Interested students should apply as soon as possible through the University of Reading’s application page at https://www.reading.ac.uk/maths-and-stats/phd/mathematics-for-our-future-climate

Feel free to contact me (e.bach@reading.ac.uk) with any questions and share this with anyone who may be interested!

Project descriptions

Machine Learning Approaches in Bayesian and Ensemble Data Assimilation

Data assimilation (DA), the process of combining model predictions with observations, is essential for weather forecasting. Computational limitations render typical DA algorithms suboptimal. This project will use machine learning to infer new DA algorithms that are as close to optimality as possible, in order to improve forecasts and quantify uncertainty.

Partners: Turing Institute

Large ensembles of machine learning forecasts for advanced nonlinear filters in atmospheric data assimilation

Recently, machine learning (ML) weather forecasting models have shown deterministic forecast skill approaching that of physics-based models, at a small fraction of the computational cost. This provides the opportunity to create very large ensembles of ML forecasts, with the potential to improve data assimilation (DA), the process of optimally combining forecasts and observations to improve the accuracy of weather predictions.

Partners: European Centre for Medium-Range Weather Forecasting (ECMWF)

The signal-to-noise problem in weather and climate forecasts

A puzzling phenomenon, the“Signal-to-Noise Paradox (SNP)”, has been observed in climate forecasts: reality appears to be more predictable than the forecasts are suggesting. This project will use machine learning to analyse the SNP statistically. Furthermore, potential dynamical mechanisms for the SNP will be identified using simplified climate models.

Partners: European Centre for Medium-Range Weather Forecasting (ECMWF)

About the MFC CDT

Are you passionate about using mathematics to tackle the pressing challenges of climate change? The EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate (MFC CDT) invites you to apply for our exciting PhD programme. A dynamic and interdisciplinary PhD programme that harnesses the power of mathematics to address the urgent issues presented by climate change. Jointly run by Imperial College London, the University of Reading, and the University of Southampton, and a range of partners across business, industry, charities, and government.

The MFC CDT will train 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.

Why Choose the MFC CDT PhD Programme?

Innovative Research Opportunities: Engage in research focused on weather and climate modelling, data analysis, and novel mathematical approaches to environmental challenges.

Interdisciplinary Collaboration: Work with experts from diverse fields, including climate science, atmospheric physics, and related disciplines.

Cohort Culture: Be part of a vibrant cohort-based research environment and enhance your personal skills through a bespoke training programme.

Tailored Internships: Gain practical experience with external partners in key sectors such as insurance, energy, water, and marine industries.

State-of-the-Art Facilities: Access cutting-edge facilities and resources to support your research endeavours.

Mentorship from Renowned Faculty: Benefit from guidance by experienced faculty members dedicated to your academic and professional growth.

Fully Funded Studentships: Receive a stipend, including a London weighting, PhD fees for 4 years, and a generous allowance for research-related activities.

Join Us in Shaping the Future

Your expertise and passion for mathematics can play a pivotal role in advancing our understanding of climate change. Applications are now open to become part of a community dedicated to making a positive impact on the world. For more information and to apply, visit https://mfccdt.ac.uk/ or contact the Admissions team on Admission.CDT-MFC@reading.ac.uk