Researcher on Land Surface Modeling

5 days ago


Oslo, Oslo County, Norway Nofima Full time
About the Job
CICERO is expanding its research on land surface modeling, a crucial area to address societal questions regarding climate impacts and land-based climate mitigation strategies. The successful applicant will work on land model calibration, uncertainty quantification, and related topics within our Climate System research group.

Our team leads the land modeling activities for the Norwegian Earth System Model (NorESM) and has a leading role in the Community Land Model (CLM) and the Functionally Assembled Terrestrial Ecosystem Simulator (FATES). These platforms are internationally influential open source land modeling tools.

The position will focus on using machine learning calibration methods across a wide range of terrestrial biosphere problems, such as forest regrowth and disturbance, fire-vegetation-climate interactions, and land surface biogeophysical feedbacks. The successful candidate will initially work across new research projects funded by Horizon EU and the Research Council of Norway.

The ideal candidate will have a solid technical skillset in process modeling and analysis, experience with running process-based terrestrial biosphere or land surface models, and knowledge of model calibration and/or machine learning techniques.

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