Location: | Bath |
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Salary: | £29,605 to £36,024 Grade 6 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 22nd May 2024 |
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Closes: | 4th June 2024 |
Job Ref: | ED11725 |
Project Overview
This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP).
This collaboration with the Met Office integrates advanced mathematical models with state-of-the-art machine learning techniques to develop forecasting models that are more accurate, efficient, and capable of incorporating complex atmospheric phenomena.
This is a fixed-term position for 3 months.
Background
The core of our project is inspired by recent advancements in computational and atmospheric sciences to enhance traditional forecasting models with innovative computational techniques.
Our strategy involves reimagining the conventional architecture of weather prediction models by incorporating novel mathematical approaches that allow for a more nuanced representation of atmospheric processes.
The intention is to create models that can more accurately predict weather patterns, incorporating a broad range of atmospheric dynamics and conservation laws.
Key Responsibilities
Desired Qualifications
Additional Perks
For informal enquires about this role, please contact the Prof Tristan Pryer, Director of IMI: tmp38@bath.ac.uk.
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