- Postdoctoral Researcher
The post-doc will be part of an international research team including NORCE (Tromsø), Uni. Reading (UK) and CEREA (Paris, Fr) with expertise in data assimilation, machine learning techniques, remote sensing and in situ sea ice observations. The post-doc will use the TOPAZ modeling and data assimilation system for the North Atlantic and Arctic Oceans. The TOPAZ system is presently the Arctic component of the European Copernicus Marine Services and is exploited operationally at MET Norway.
- Identify predictors of sea ice thickness distribution from various data
- Design, train and validate an emulator of sea ice thickness
- Modify an Ensemble Kalman Filter using machine learning to update the ice thickness distribution
- Publication of results