Data scientist data-driven weather model

Are you passionate about advancing weather modeling using cutting-edge technology? Join the Royal Netherlands Meteorological Institute (KNMI) in the AI work package of the Destination Earth (DE) On-Demand Extremes Digital Twin (DE_330_MF) project, where we push the future of high-resolution weather forecasts through deep learning. We are looking for a data scientist to help develop a model that matches the accuracy of our Harmonie-Arome model, especially for extreme weather. Collaborate with top meteorological institutes across Europe and shape the next generation of weather modeling.

What will you be doing?

As part of the Data Science cluster in the R&D Weather and Climate Models department, we are driving the development, maintenance, and application of several cutting-edge machine learning models. Our focus is on advancing ML methods for post-processing of numerical weather prediction (NWP) model output, as well as pioneering a data-driven weather model using machine learning – a task where you will play a key role. You’ll contribute to the development of a stretched-grid version of ECMWF's AIFS weather model, leveraging a 40-year ERA5 re-analysis archive and a 13-year high-resolution (2.5 km) re-analysis archive from our NWP model, Harmonie-Arome.

Additionally, you will compare the performance of the forecasts from the stretched-grid weather model with those from Harmonie-Arome.

This exciting work is part of the DE_330_MF project. You’ll be part of the AI work package, collaborating with leading European meteorological institutes to develop high-resolution versions of AIFS for Europe.

This gives you energy

You thrive on solving complex challenges and pushing the boundaries of weather modeling through innovative machine learning techniques. You get excited by working with large, detailed datasets and collaborating with international experts to drive forward groundbreaking projects that have a direct impact on weather forecasts.

Functie-eisen

• you hold an MSc in data science or a related field, with a focus on machine learning
• you have hands-on experience developing deep learning models using PyTorch

Je herkent je in de volgende eigenschappen:-

You are eager to continuously expand your expertise in machine learning and are fluent in English, with knowledge of Dutch or the willingness to learn it being a bonus. An interest in weather forecasting models adds to your enthusiasm, and experience with data-driven weather models like AIFS (from ECMWF) or Anemoi (Anemoi: catalogue (ecmwf.int) is a strong advantage. You naturally thrive in a collaborative, team-oriented environment, where your contributions help drive the team’s success. As a data scientist, you enjoy working in a team, always keeping both the team’s and the organization’s goals in mind. In addition, you are at ease in a scientific, international setting, where your excellent communication and writing skills allow you to engage effectively.