[ES_JOBS_NET] PhD opportunity in machine learning for data assimilation at University of Reading (Mathematics for Our Future Climate)

[Eviatar Bach]

We are recruiting for the Autumn 2025 cohort for the Centre for Doctoral 
Training in Mathematics for Our Future Climate! We have an open PhD 
position at the intersection of data assimilation and machine learning 
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!

*Project description*

/Machine Learning Approaches in Bayesian and Ensemble Data Assimilation/

Probabilistic data assimilation (DA) is the process of combining models 
with observations to obtain the filtering distribution—the conditional 
probability over states given past and present observations. Due to 
computational limitations, typically only rough approximations of the 
true filter are tractable. This project proposes to use machine learning 
(ML) to learn new DA algorithms that better approximate the true filter, 
holding the potential to improve forecasts and quantify their 
uncertainty. This will be done using strictly proper scoring rules, 
skill metrics with appealing theoretical properties for this purpose.

This project will focus on learning ensemble DA algorithms for use in 
high-dimensional chaotic systems such as the atmosphere. Initial 
application will be to idealised problems, but scaling up these methods 
to operational weather prediction will also be explored. Theoretical 
issues about learnability and comparisons to other methods will also be 
considered.

The combination of ML with DA is an active and quickly expanding area of 
research. However, the learning DA algorithms is an underexplored field 
and has the potential to significantly improve on current DA methods 
used for weather and climate forecasting. The student would thus be at 
the frontier of high-impact DA research, working with world-leading 
institutions on research in DA (Reading), Earth observation (NCEO), and 
ML (Turing Institute).

*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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