





The Center for Climate Systems Modeling (C2SM) at ETH Zurich, in partnership with the Federal Office of Meteorology and Climatology (MeteoSwiss), is pioneering innovative methods to leverage machine learning for numerical weather forecasting and climate modeling. We are looking for a motivated Machine Learning Scientist to join the WeatherGenerator project. Like the approach of Large Language models, the aim of the WeatherGenerator is to build a so-called foundation model for Weather and Climate. The model will be trained on various model data as well as many observations, from satellite to radar data. The core model will be then fine tuned for specific applications, such as high-resolution prediction over Switzerland. Job description * Further develop and train the WeatherGenerator model for specific applications in Switzerland, such as high-resolution regional weather predictions * Improve the system by integrating observation and high-resolution model data * Fine tune and validate model against existing numerical model and observations * Curate and validate ML training datasets * Work on integrating the machine learning pipeline into production