Machine Learning Scientist / Machine Learning Scientistess

Machine Learning Scientist for Weather and Climate (Varda project)

80%-100%, Zurich, fixed-term

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.

Project Background

We are seeking 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 goal of providing accurate and timely 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.

Job Description

• Further develop and train machine learning models in Anemoi with a focus on regional weather predictions.
• Improve the system by integrating observational data or working on ensemble methods.
• Integrate the machine learning pipeline into production.
• Fine-tune and validate models against existing numerical models and observations.
• Cure and validate ML training datasets.

The position is limited to two years.

Profile

• 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 background in high-performance computing (HPC) is an advantage.
• Experience with weather and climate applications and ensemble forecasting is a plus.
• Creative, solution-oriented mindset with excellent communication skills and the ability to work with interdisciplinary teams.
• Good knowledge of spoken and written English.

Workplace

Join us in a dynamic and stimulating environment where cutting-edge research meets real-world applications.

We Offer

• Unique opportunities to develop a state-of-the-art machine learning system and shape the future of weather forecasting.
• A chance to work in an inclusive and diverse workplace that supports flexible working arrangements for all team members.

Our Commitment to Diversity and Sustainability

ETH Zurich values inclusion and believes in promoting equality of opportunity while nurturing a working environment that respects the rights and dignity of all our staff and students. We are committed to sustainability and are continually striving towards a climate-neutral future.

Curious? So Are We.

To explore this opportunity, apply online using the form below. Only applications matching the job profile will be considered.

About ETH Zurich

ETH Zurich is one of the world’s leading universities specializing in science and technology. We are renowned for our excellent education, cutting-edge fundamental research, and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and inspires excellence. Located in the heart of Europe, we also forge connections all over the world in our endeavor to develop solutions for global challenges.