ECMWF
Bonn, Germany
The role
We are looking for a talented Machine Learning Scientist or Atmospheric Composition Scientist with AI/ML experience to contribute to the use of AI/ML in atmospheric composition monitoring and forecasting. This includes the exploratory development AIFS-COMPO, the use of AI/ML based emulators of the relevant chemical and physical processes in IFS-COMPO, and the potential application of AI/ML for the global monitoring of emissions and surface fluxes. As a Scientist for Machine Learning (A2) you will be embedded into both CAMS and AIFS teams and be supported by domain experts from both disciplines. You will explore how the AIFS or elements of the traditional IFS-COMPO should be adapted and trained to leverage atmospheric composition datasets, such as analysis and reanalysis datasets, as well as how these new techniques could be used for the monitoring of emissions and natural fluxes. You will be at the forefront of understanding the role of machine learning...