Machine Learning Scientist/Engineer for weather prediction (m/f)
Federal Office of Meteorology and Climatology MeteoSwiss
01.01.2025
temporary
31.12.2028
not specified
#LI-MCH1012
Operation Center 1, Frachtstrasse, 8302 Kloten
This is how you can contribute
- Develop and implement machine learning algorithms with a focus on data-driven approaches to weather forecasting
- Contribute to the development of the MeteoSwiss-wide MLOps platform, data pre-processing, cleansing and feature engineering
- Collaborate in an interdisciplinary team of meteorologists and computer scientists to integrate machine learning models with traditional methods of weather forecasting
- Collaborate with international institutions (ECMWF) and other national weather services in international projects to develop ML models for global and regional weather forecasting
This makes you unique
- University degree (MSc or PhD) in data science, computer science, applied mathematics or a related field
- Proven experience in developing and implementing machine learning algorithms and data science concepts and methods
- Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Keras, etc.)
- Experience in handling and processing large data sets or experience in high-performance computing (HPC) 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 and knowledge of an official language
In a nutshell
As a Machine Learning Scientist/Engineer, you will develop and train data-driven weather models based on our large data archive. You will have the unique opportunity to implement innovative, data-driven approaches for weather forecasting for Switzerland.
01.01.2025
temporary
31.12.2028
not specified
#LI-MCH1012
Operation Center 1, Frachtstrasse, 8302 Kloten
Questions about the position
Carlos Osuna +41 58 460 98 77CARLOS.OSUNA@METEOSWISS.CH
Questions about applying
Sharon Burgess +41 58 460 94 32SHARON.BURGESS@METEOSWISS.CH
Questions about the position
Carlos Osuna+41 58 460 98 77
Questions about applying
Sharon Burgess+41 58 460 94 32
In a nutshell
As a Machine Learning Scientist/Engineer, you will develop and train data-driven weather models based on our large data archive. You will have the unique opportunity to implement innovative, data-driven approaches for weather forecasting for Switzerland.
What sets us apart
The Swiss Federal Office for Meteorology and Climatology MeteoSwiss is the Swiss National Weather Service. We record and forecast weather and climate in Switzerland and thus make a sustainable contribution to the well-being of the community and to the benefit of industry, science and the environment.
Federal offices of the Federal Department of Home Affairs (FDHA) are committed to good working conditions and protecting the health of their employees and have been awarded the Friendly Work Space label.
Our benefits
#F7B4B8Working for SwitzerlandWe are committed to the successful Swiss model and work for the public good.
#F7B4B8Working for SwitzerlandWe are committed to the successful Swiss model and work for the public good.
#B8E1D8Embracing diversityThanks to equal opportunities, we draw on our expertise and contribute different perspectives.
#B8E1D8Embracing diversityThanks to equal opportunities, we draw on our expertise and contribute different perspectives.
#FFF0BBStaying healthy at workWe support and advise our employees in the area of physical and mental health.
#FFF0BBStaying healthy at workWe support and advise our employees in the area of physical and mental health.
#D7EEECEqual pay for equal workWe ensure equal pay and provide remuneration based on performance, experience and the requirements of the position.
#D7EEECEqual pay for equal workWe ensure equal pay and provide remuneration based on performance, experience and the requirements of the position.
#FAD8B9Work-life balanceWe support individual lifestyles with flexible forms of work and various time models.
#FAD8B9Work-life balanceWe support individual lifestyles with flexible forms of work and various time models.
#E8D7E8Career prospectsWe promote the professional and personal development of our employees with state-of-the-art training and continuing professional development programmes.
#E8D7E8Career prospectsWe promote the professional and personal development of our employees with state-of-the-art training and continuing professional development programmes.
Questions about the position
Carlos Osuna+41 58 460 98 77
Questions about applying
Sharon Burgess+41 58 460 94 32
Additional information
This position is based in the Numerical Forecasting Division, which is responsible for the development and operation of MeteoSwiss's internal weather forecasting model.
Next steps
As women are still under-represented in our administrative unit, their applications are particularly welcome.