Flood modelling with a new statistical inference tool.
The tuition fees for this project are fully funded for a full time, UK national student. The deadline for applications is Friday 16th September 2022, with a preferred study start date of Monday 28th November 2022. Please get in touch with email@example.com for more details.
About the project or challenge area
This project is a follow-on from the ERC grant GlobalMass that has advanced the use of space-time statistical inference to separate global sea level rise into its different sources. We want to generalise this approach into a software tool, 4-D Modeller, capable of solving a wider range of large-scale, space-time (i.e. four-dimensional) problems. Such a tool has the potential to transform many disciplines, not just in Earth and environmental sciences, but also in areas such as public health and national security, and has the potential to attract huge commercial interest, for example in extreme weather risk assessment for insurance and reinsurance.
Why choose this opportunity?
You will have the opportunity to work with experts in climate science, flood modelling and statistics as well as with industrial partners who have a direct interest in using the software.
You would benefit from having programming experience, preferably in R, but other languages would give the grounding needed. A background in Physics, Electrical Engineering, signal processing and/or statistical inference applied to environmental sciences would also be advantageous.
How to apply
All students can apply using the button below, following the Admissions Statement (PDF, 192kB).
Before applying, we recommend getting in touch with the project's supervisors. If you are interested in this project and would like to learn more about the research you will be undertaking, please use the contact details on this page.
Find out more about your prospective research community
The Water theme is a vibrant community of researchers who are transforming the evidence base for water-based decision making in a changing and deeply uncertain world. Find out more about the Water research theme.