Machine Learning Scientist / Machine Learning Scientistess

Machine Learning Scientist for Weather and Climate (WeatherGenerator 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.

We are seeking a motivated Machine Learning Scientist to join the WeatherGenerator project. Similar to the approach of Large Language Models, the WeatherGenerator aims to build a foundation model for Weather and Climate. This model will be trained on various datasets, including satellite and radar observations. The core model will then be fine-tuned for specific applications, such as high-resolution prediction over Switzerland.

Job description

• Further develop and train the WeatherGenerator model for specific applications in Switzerland, such as high-resolution regional weather predictions.
• Improve the system by integrating observational and high-resolution model data.
• Fine-tune and validate the model against existing numerical models and observations.
• Curate and validate ML training datasets.
• Work on integrating the machine learning pipeline into production.

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).
• Experience in handling and processing large datasets or experience in high-performance computing (HPC) is an advantage.
• Experience with weather and climate applications is a plus.
• You are creative, solution-oriented, and possess excellent communication skills with the ability to work in interdisciplinary teams.
• Good knowledge of spoken and written English.

Workplace

Join our dynamic team at the intersection of cutting-edge research and real-world applications.

We offer

• Unique opportunities to develop state-of-the-art Machine Learning systems and influence the future of weather forecasting.
• We are committed to fostering a diverse and inclusive workplace and offer 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 our staff and students are respected. Sustainability is a core value for us as we consistently work towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application using the form below. Please include the following documents:

• CV
• Motivation letter
• List of references

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).

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, yet connecting globally, we work together to develop solutions for the global challenges of today and tomorrow.