Machine Learning Scientist Opportunity at C2SM
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 development team of the Varda machine learning weather prediction system. This model is being trained using archived data from MeteoSwiss operational forecasts and observations, with the objective of providing accurate and efficient forecasts for the short- to medium-term. A central component of this effort is Anemoi, a framework developed by the European Centre for Medium-Range Weather Forecasts (ECMWF) to support AI applications in weather and climate science.
Key Responsibilities
- Further develop and train machine learning models in Anemoi with a focus on regional weather predictions.
- Improve the system by integrating observation data or working on ensemble methods.
- Integrate the machine learning pipeline into production.
- Fine-tune and validate models against existing numerical models and observations.
- Curate and validate ML training datasets.
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) and best practices in MLOps.
- Experience in handling and processing large datasets or in high-performance computing (HPC) is advantageous.
- Experience with weather and climate applications and weather ensemble forecasting is a plus.
- Creative, solution-oriented, with excellent communication skills and the ability to work in interdisciplinary teams.
- Good knowledge of spoken and written English.
What We Offer
- Unique opportunities to develop a state-of-the-art Machine Learning system and influence the future of weather forecasting.
- Join a dynamic team operating 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.
The position is limited to two years. Only applications matching the job profile will be considered. Apply online using the form below.
For further information about C2SM, please visit our website. Questions regarding the position should be directed to Dr. Xavier Lapillonne at xavier.lapillonne@meteoswiss.ch (please note that no applications will be accepted via email).
Please note that pre-selection will be conducted by the responsible recruiters and not by artificial intelligence.