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 looking for a motivated Machine Learning Scientist to join the WeatherGenerator project. Like the approach of Large Language models, the aim of the WeatherGenerator is to build a so-called foundation model for Weather and Climate. The model will be trained on various model data as well as many observations, from satellite to radar data. The core model will be then 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 observation and high-resolution model data Fine tune and validate model against existing numerical model 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 an advantage You are creative, solution-oriented and have excellent communication skills and the ability to work with interdisciplinary teams Good knowledge of spoken and written English Workplace We offer Unique opportunities to develop state-of-the-art Machine Learning system and shape the future of weather forecasting You will join a dynamic team operating at the intersection of cutting-edge research and real-world applications We are committed to fostering a diverse and inclusive workplace and offer flexible working arrangements to support work-life balance for all team members chevron_right Working, teaching and research at ETH Zurich 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. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future. Curious? So are we. We look forward to receiving your online application with 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, xavier.lapillonne@meteoswiss.ch (no applications). Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising 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 an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. If you apply for this position please say you saw it on Computeroxy

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 looking for a motivated Machine Learning Scientist to join the WeatherGenerator project. Like the approach of Large Language models, the aim of the WeatherGenerator is to build a so-called foundation model for Weather and Climate. The model will be trained on various model data as well as many observations, from satellite to radar data. The core model will be then 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 observation and high-resolution model data
Fine tune and validate model against existing numerical model 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 an advantage
You are creative, solution-oriented and have excellent communication skills and the ability to work with interdisciplinary teams
Good knowledge of spoken and written English

Workplace

We offer

Unique opportunities to develop state-of-the-art Machine Learning system and shape the future of weather forecasting
You will join a dynamic team operating at the intersection of cutting-edge research and real-world applications
We are committed to fostering a diverse and inclusive workplace and offer flexible working arrangements to support work-life balance for all team members

chevron_right Working, teaching and research at ETH Zurich

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. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application with 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, xavier.lapillonne@meteoswiss.ch (no applications).

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising 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 an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

If you apply for this position please say you saw it on Computeroxy

Apply

All Jobs