Jobid=622124103634199984 (0.0199)
ppWe are looking for a highly motivated postdoctoral researcher to join the EuRadCA project, a German-Dutch collaboration focused on advancing radar-based quantitative precipitation estimation across Europe. This position offers a unique opportunity to work at the interface of radar hydrometeorology, geospatial analysis, and machine learning, leveraging large-scale European radar datasets such as OPERA. /p h3Key responsibilities /h3 pRadar data processing and QPE development /p ul liDevelop a reproducible and scalable radar processing pipeline for continental-scale radar-gauge datasets of heterogeneous quality, in close collaboration with researchers at the Royal Netherlands Meteorological Institute (KNMI). /li liImplement automatic quality control (QC) on radar and gauge data, including data from official networks and personal weather stations. /li liDesign novel radar-gauge merging and adjustment techniques that leverage multiple radar and gauge quality indicators. /li liContribute to the development of probabilistic QPE products and uncertainty quantification. /li /ul pEvaluation of rainfall extremes /p ul liAssess the performance of existing and new European radar products during extreme rain. /li /ul pCollaboration and coordination /p ul liWork closely with PhD researchers at partner institutions in Germany (KIT, University of Stuttgart) as well as the Dutch and German national weather agencies (KNMI, DWD). /li liAttend team meetings and coordinate efforts to support the creation and dissemination of the final QPE products at European scale. /li liPublish results in leading scientific journals and present at international conferences. /li /ul h3Job requirements /h3 pWe are looking for a candidate with: /p ul liA PhD in hydrology, meteorology, environmental engineering, geosciences or a related field. /li liStrong experience in weather radar, remote sensing of precipitation or spatial data analysis (e.g., geostatistics). /li liSolid programming skills (e.g., Python, R or C). /li liExperience working with large datasets. /li liFamiliarity with machine learning / deep learning is a plus. /li liExperience in HPC is a plus. /li liExperience in reproducible research practices and collaborative coding is a plus. /li liStrong analytical thinking and ability to work independently. /li liExcellent communication skills in English (oral and written). /li /ul /p #J-18808-Ljbffr
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