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 trained using archived data from MeteoSwiss operational forecasts and observations, aiming to provide 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 the machine learning model in Anemoi, focusing on regional weather predictions.
• Enhance the system by integrating observation data or working on ensemble methods.
• Work on integrating the machine learning pipeline into production.
• Fine-tune and validate the model 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 MLOps best practices.
• Experience in handling and processing large datasets or high-performance computing (HPC) is an advantage.
• Familiarity with weather and climate applications or 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.

Workplace

At ETH Zurich, we value a diverse and inclusive workplace and offer flexible working arrangements to support the work-life balance of all team members.

We Offer

• Unique opportunities to develop a state-of-the-art machine learning system and shape the future of weather forecasting.
• A dynamic team operating at the intersection of cutting-edge research and real-world applications.

We Value Diversity and Sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity, and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Sustainability is a core value for us, and we are consistently working towards a climate-neutral future.

Curious? So Are We.

Apply online using the form below. Only applications matching the job profile will be considered.

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).

About ETH Zürich

ETH Zurich is one of the world's leading universities specializing in science and technology. Renowned for excellent education, cutting-edge research, and direct knowledge transfer to society, ETH Zurich attracts over 30,000 people from more than 120 countries, promoting independent thinking in an inspiring environment. Located in the heart of Europe while forging connections globally, we work together to develop solutions for today's and tomorrow's global challenges.