Closing date for applications:  • Location: Leipzig Postdoc (m/f)
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 aggregated ecological models with reduced complexity.
As many ecological models are quite complex, the working objective of the position advertised here is to develop approaches to aggregate or simplify dynamic ecological models (e.g. vegetation models).