[ES_JOBS_NET] PhD opportunities in data assimilation, machine learning, and predictability at the University of Reading

[Eviatar Bach]

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 at 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/_ <https://mfccdt.ac.uk/>or contact the Admissions 
team on _Admission.CDT-MFC at reading.ac.uk_ 
<mailto:Admission.CDT-MFC at reading.ac.uk>
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