IP 2025 - Urban-scale Artificial Intelligence Modeller
Reading, Berkshire, South East, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Met Office
applications. You will be working on the AI4 Climate project developing a method for 'downscaling' coarse-resolution simulations, training a machine learning (ML) emulator to learn the relationship between historical coarse- and high-resolution physics-based model output. The artificial intelligence-based emulator will enable fast, high-resolution … in Data Science R&D as well as other researchers across Science exploring the value of these new approaches. Your key duties Develop an ML method for downscaling precipitation from kilometre- to hectometre-scale, using 300 m ensemble simulations from the WesCon field campaign as training data. There is the … potential to extend this to downscaling of other variables. Adapt existing ML workflows (using Python and the Azure platform) to design a new ML workflow that is under GitHub version control. Identify and apply appropriate techniques to evaluate the performance of the emulator. Deliver a report documenting the background literature more »
Employment Type: Temporary, Work From Home
Salary: £24,000
Posted: