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 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 archive 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.

Job Description

• Further develop and train the machine learning model in Anemoi, focusing on regional weather predictions.
• Improve 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.
• Curation and validation of 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 high-performance computing (HPC) is an advantage.
• Experience with weather and climate applications and weather ensemble forecasting is also an advantage.
• Creative, solution-oriented, possessing excellent communication skills, and the ability to work with interdisciplinary teams.
• Good command of spoken and written English.

Workplace

The successful candidate will be joining a dynamic team at the forefront of cutting-edge research and real-world applications, contributing to the development of state-of-the-art Machine Learning systems that shape the future of weather forecasting.

We Offer

• Unique opportunities to develop and innovate in the field of Machine Learning for weather prediction.
• A commitment to fostering a diverse and inclusive workplace with flexible working arrangements to support work-life balance for all team members.

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 where the rights and dignity of all staff and students are respected. Sustainability is a core value for us - we continuously strive towards a climate-neutral future.

Curious? So Are We.

Apply online using the form below.

Only applications matching the job profile will be considered.

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).

About ETH Zurich

ETH Zurich is one of the world's leading universities specializing in science and technology. We are renowned for our outstanding education, cutting-edge fundamental research, and direct transfer of new knowledge into society. Over 30,000 individuals 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 forge connections all over the world to develop solutions for today's and tomorrow's global challenges.