[ES_JOBS_NET] PhD positions in data assimilation and machine learning at the University of Reading

[Eviatar Bach]

As part of the new Centre for Doctoral Training (CDT) in Mathematics for 
Our Future Climate <https://apply.mfccdt.ac.uk/>, we have two PhD 
position opportunities at the intersection of data assimilation and 
machine learning at the University of Reading.

The two projects are:

*Large ensembles of machine learning forecasts for advanced nonlinear 
filters in atmospheric data assimilation*
/Advised by Eviatar Bach, Sarah Dance, and Amos Lawless/

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.

*Machine Learning Approaches in Bayesian and Ensemble Data Assimilation*
/Advised by Eviatar Bach and Jochen Broecker/

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, leveraging variational inference, in order to 
improve forecasts.

Both projects would have the opportunities to work with operational 
forecasting centres, the European Centre for Medium-Range Weather 
Forecasting (ECMWF) and the Met Office, as well as the CDT partners 
Imperial College London and the University of Southampton.

The positions would start in October 2024, and are for fully funded 
4-year PhD studentship. Interested students should apply as soon as 
possible through the University of Reading’s application page 
<https://www.reading.ac.uk/maths-and-stats/phd/mathematics-for-our-future-climate>. 
Applicants should have a strong mathematics background.

Feel free to contact Eviatar Bach (e.bach at reading.ac.uk) with any 
questions about the projects or application process.

Below is additional information about the CDT in Mathematics for Our 
Future Climate.

------------------------------------------------------------------------

/Are you ready to be at the forefront of mathematical solutions for 
climate challenges?/

Imperial College London, the University of Reading and the University of 
Southampton are thrilled to invite passionate and dedicated individuals 
to apply for our exciting new EPSRC CDT in the Mathematics for our 
Future Climate starting in October 2024.

/About the programme/

Our PhD programme is a dynamic and interdisciplinary initiative that 
harnesses the power of mathematics to address the urgent issues 
presented by climate change. By joining our community, you will embark 
on a journey of cutting-edge research, collaboration with leading 
experts, and hands-on experience in shaping the future of our planet.

/Eligibility/

Candidates must hold a master’s degree in mathematics or a related field 
with a strong mathematics content by the start of the PhD programme.

/Why Choose Our Programme?/

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

*Interdisciplinary Collaboration:* Collaborate with experts from diverse 
fields, including climate science, atmospheric physics, and related 
disciplines, to foster innovation and holistic solutions. Our partners 
include leading ocean, weather and climate services, such as the 
National Oceanography Centre, the National Centre for Earth 
Observations, the UK Meteorological Office, the European Centre for 
Medium-Range Weather Forecasts and the Hong Kong Observatory.

*Cohort culture:* Be a part of a vibrant cohort-based research 
environment and learn and grow your personal skills through a bespoke 
cohort training programme.

*Tailored internships:* Gain practical experience by undertaking a 
research internship with external partners, including research 
institutes and industries from key sectors of the UK economy, notably 
insurance, energy, water, and marine sectors.

*State-of-the-Art Facilities:* Access cutting-edge facilities and 
resources that provide the support you need to excel in your research 
endeavours.

*Mentorship from Renowned Faculty:* Benefit from mentorship by 
experienced faculty members committed to guiding and nurturing your 
academic and professional growth.

*Fully funded studentships:* Study while receiving a full stipend (with 
London weighting), PhD fees paid for 4 years, and a generous allowance 
for research-related travel. Some funding for overseas students is 
available.

/Join Us in Shaping the Future:/

Your expertise and passion for mathematics can play a pivotal role in 
advancing our understanding of climate change. Embark on an enriching 
academic journey with our PhD programme, where diversity is celebrated, 
and excellence thrives. We welcome applicants from all backgrounds, 
experiences, and perspectives, recognising the immense value each 
individual brings to our scholarly community. Committed to Equity, 
Diversity, and Inclusion (EDI), our programme fosters an environment 
where everyone’s voice is heard and respected. Join us in advancing 
cutting-edge research and addressing societal challenges through 
collaborative and inclusive scholarship. Apply now to be a part of a 
vibrant community dedicated to making a difference in the world.
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