Within the interdisciplinary Helmholtz project “Reduced Complexity Models – explore advanced data science techniques to create models of reduced complexity“ several Helmholtz centers aim at addressing and developing the following three components simultaneously and in a unified manner: uncertainty quantification, development of fast surrogate models and the identification of key parameters and dependencies.
The UFZ is therefore seeking for a Postdoc (m/f) for the subject: Development of surrogate hydrologic models with reduced complexity.