Dr. Josefine Wilms
Funktion und Aufgaben:
Applied mathematician performing gravity field retrieval simulations
March 2021 - Present
- Gravity field retrieval simulations with EPOS-OC for NGGM/MAGIC – Science Support Study and ESA Third Party Mission Study.
- Support for development of Payload Data Ground Segment concept for the NGGM study.
March 2019 – February 2021
Development of SNAP pipeline in python for the calculation of land subsidence from SAR Sentinel1 images.
Modelled suspended particle matter in the Wadden sea using stacked ensemble machine learning methods.
Developed Flask based API for doing pre-processing for chemical and biological input components to the DFlowFM model.
Developed and deployed docker containers for Jupyter notebooks on Azure. These notebooks were for online courses at Deltares.
Developed a gradient boosting based machine learning model to predict overtopping at coastal structures.
December 2015-February 2019
Developed a river routing model to simulate the movement of surface runoff to oceans on a global scale.
Constructed an interface that converts weather data from three different sources into a standard format and combines these into a single database.
Constructed models to predict overtopping at coastal structures with OpenFOAM (IHFoam).
Trained feedforward and recurrent neural networks on river discharge data.