Job Opportunity: Machine Learning Scientist
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. The model is being trained using archived data from MeteoSwiss operational forecasts and observations, with the objective of providing accurate and fast 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 and working on ensemble methods.
- Work on integrating the machine learning pipeline into production.
- Fine-tune and validate models against existing numerical models and observations.
- Curate and validate ML training datasets.
Position Details
The position is limited to two years.
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 modern ML stacks (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 an advantage.
- Experience with weather and climate applications and weather ensemble forecasting is a plus.
- You are creative, solution-oriented, and possess excellent communication skills, with the ability to work within interdisciplinary teams.
- Good knowledge of spoken and written English.
Why Join Us?
- Unique opportunities to develop a state-of-the-art machine learning system and shape the future of weather forecasting.
- Be part of a dynamic team operating at the intersection of cutting-edge research and real-world applications.
- We are committed to fostering a diverse and inclusive workplace, offering flexible working arrangements to support work-life balance for all team members.
Apply online using the form below. Please note that only applications matching the job profile will be considered.
Additional Information
Further information about C2SM can be found on our website. Questions regarding the position should be directed to Dr. Xavier Lapillonne at xavier.lapillonne@meteoswiss.ch (no applications).