Wissenschaftliche Mitarbeiterin/Wissenschaftlichen Mitarbeiter (m/w/d)
Core
Conducting a 4-year research project to validate and develop turbulence parameterizations in the ICON numerical weather prediction model using Doppler-Lidar measurements and ground-based remote sensing data.
Role type
Research scientist (atmospheric physics)
Builds
Numerical weather prediction models (ICON) and operational measurement networks
Domain
Meteorology, Atmospheric Physics, Remote Sensing
Deliverable
production ML models
Required skills
Atmospheric boundary layer physics, Atmospheric turbulence modeling, Ground-based remote sensing methods, Scientific programming (Python), Database management, Statistical analysis of long-term datasets
Preferred skills
Experience with Doppler-Lidar systems, Publication of research results, International conference presentations