Graduate Network Modeller or Network Modeller

1 month ago

Reading Berkshire, United Kingdom Met Office Full time €25,606

The Met Office is delighted to open our advertising for a number of Industrial Placements, which will commence from July 2025 until July 2026. We're looking for an exceptional Urban-scale Artificial Intelligence Modeller Industrial Placement to help us make a difference to our planet.
This is an exciting opportunity to join the Met Office on a 12-month Year in Industry placement, developing your skills and knowledge and ensuring you gain the most value possible from your experience with us. You will have the opportunity to network with our cohort of Industrial Placements all over the Met Office and understand what career opportunities we can offer you after you graduate.
As our Urban-scale Artificial Intelligence Modeller, the job may be suitable for hybrid working, which is where an employee works part of the week in the office and part of the week from home. Our opportunity is full time, 37 hours per week. From science to technology, from meteorology to management, and from planning to communication, our expertise helps us stand out as the authority on weather accuracy and climate prediction. We help individuals, industries and government to make better decisions to stay safe and thrive. This is the Met Office. We're a force for good - focusing on our environmental and social impact
Our Industrial Placement scheme offers ambitious and capable undergraduates the opportunity to gain valuable experience working alongside diverse and highly skilled experts in their field. You'll be working on projects that really matter and will make a difference.
The Met Office have cutting-edge, high-resolution, physics-based models that can resolve individual storms and meteorology at neighbourhood scales in cities. 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 weather and climate predictions.
You will be a member of the Regional Modelling and Evaluation (RMED) team and will work closely with colleagues in Data Science R&D as well as other researchers across Science exploring the value of these new approaches.
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. 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, the ML workflow, and the research findings. The Met Office is accredited as a 'Great Place to Work UK 2023' and in addition has achieved a place on both the UK's 'Best Workplaces in Tech' and 'Best Workplaces for Women' lists.
Whilst this is a temporary position until July 2026, there is potential for it to develop into an opportunity to join our Graduate Development scheme once you have completed your University studies.
Annual Leave starting at 27.Access to discounted shopping, inclusive of retail, leisure and lifestyle brands
Have basic programming ability and be keen to develop Python, GitHub, and ML skills, embodying our value 'we keep evolving'
How we can help
You can select in your application to be considered under the Disability Confident Scheme. We require Security clearance, for which you need to have resided in the UK for at least 3 of the last 5 years to be eligible. You will need to achieve full security clearance within your first 6 months with us.

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