Job Opportunity: Machine Learning Scientist
The Center for Climate Systems Modeling (C2SM) at ETH Zurich, in collaboration with the Federal Office of Meteorology and Climatology (MeteoSwiss), is at the forefront of utilizing innovative machine learning techniques for numerical weather forecasting and climate modeling.
We are seeking a motivated Machine Learning Scientist to contribute to the WeatherGenerator project. Similar to the approach used by large language models, the WeatherGenerator aims to create a foundation model for Weather and Climate. This model will be trained on a variety of datasets, including satellite and radar data, and subsequently fine-tuned for specific applications, such as high-resolution predictions for Switzerland.
Responsibilities
- Further develop and train the WeatherGenerator model for specific applications in Switzerland, including high-resolution regional weather predictions.
- Enhance the system by integrating observational and high-resolution model data.
- Fine-tune and validate the model against existing numerical models and observations.
- Curate and validate machine learning training datasets.
- Work on integrating the machine learning pipeline into production.
Qualifications
- University degree (MSc or PhD) in data science, computer science, physics, or a related field.
- Experience in training and validating large-scale deep learning models on distributed systems.
- Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, Hydra, Zarr, Dask).
- Experience in handling and processing large datasets or high-performance computing (HPC) is an advantage.
- Familiarity with weather and climate applications is an advantage.
- Creative, solution-oriented, with excellent communication skills and the ability to collaborate with interdisciplinary teams.
- Good command of spoken and written English.
What We Offer
- Unique opportunities to develop state-of-the-art machine learning systems and influence the future of weather forecasting.
- A chance to join a dynamic team that operates at the intersection of cutting-edge research and real-world applications.
- A commitment to fostering a diverse and inclusive workplace, with flexible working arrangements to support work-life balance for all team members.
This position is limited to two years.
Apply online using the form below. Please note that only applications matching the job profile will be considered.
Further Information
For more details about C2SM, please visit our website. For any questions regarding the position, you may contact Dr. Xavier Lapillonne at xavier.lapillonne@meteoswiss.ch.
Please be aware that pre-selection is conducted by responsible recruiters and not by artificial intelligence.