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 seeking a motivated Machine Learning Scientist to join the development team of the Varda machine learning weather prediction system.
This model is being trained using archive data from MeteoSwiss operational forecasts and observations, aiming to provide accurate and timely forecasts for the short- to medium-term. A key component of this initiative 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 the machine learning model in Anemoi with a focus on regional weather predictions.
- Enhance the system by integrating observational data and working on ensemble methods.
- Integrate the machine learning pipeline into production.
- Fine-tune and validate the model 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 high-performance computing (HPC) is an advantage.
- Experience with weather and climate applications and weather ensemble forecasting is a plus.
- Creative, solution-oriented, and possess excellent communication skills, with the ability to work within interdisciplinary teams.
- Good knowledge of spoken and written English.
What We Offer
- Unique opportunities to develop state-of-the-art machine learning systems and shape the future of weather forecasting.
- A dynamic team working at the intersection of cutting-edge research and real-world applications.
- A commitment to fostering a diverse and inclusive workplace, along 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.
Contact Information
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 (no applications).