PhD position in the field of machine learning-based shallow convection parameterizations

Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen (near Munich), Germany
Closing date not provided

The Department “Earth System Model Evaluation and Analysis of the Institute of Atmospheric Physics at the German Aerospace Center (DLR-IPA) in collaboration with the Climate Modelling Department of the Institute of Environmental Physics (IUP) at the University of Bremen invites applications for a PhD Position in the field of machine learning-based parameterizations for the ICON Earth System Model. The position will be based at DLR-IPA in Oberpfaffenhofen near Munich, and supervised by Prof. Veronika Eyring, head of the department and Professor of Climate Modelling at the University of Bremen. The position is to be filled as soon as possible, for a duration of 3 years.

The successful candidate will be expected to:

  • Perform and analyse very high-resolution numerical simulations using ICON-LES (Large-Eddy Simulation)
  • Develop ML algorithms to parameterize the effects of shallow clouds simulated with ICON-LES
  • Implement it into the general circulation model ICON-ML and execute climate simulations
  • Evaluate the ICON-ML results with the Earth System Model Evaluation Tool (ESMValTool)
  • Document the work (publications) and provide software as open source

Your profile:

  • Master’s degree or equivalent in physics, mathematics, meteorology or similar field with adequate educational background for a PhD thesis in physics
  • Very good programming skills (preferably python) and experience in data analysis
  • Interest in climate research and Earth system modelling
  • Enthusiasm, motivation and creativity
  • Fluency in English (written and spoken)
  • Experience in machine learning and Climate modelling is an advantage

More information

Share