(for the full job announcement see here https://www.uni-bayreuth.de/forest-modelling-w-41f61867723304f2)
note that officially there is no application deadline!
You will contribute to the development of a demographic forest simulation model and calibrate it using extensive European forest data and Bayesian methods (model-data integration). You will also project future forest development and associated uncertainties under different climate scenarios and formulate adaptation strategies for forest management. The position is part of the junior research group BayForDemo, which is funded by the Bavarian Climate Research Network bayklif.
• a dissertation in natural sciences with a profound knowledge of quantitative methods and ecology
• experience with ecological simulation models and ideally Bayesian methods
• very good knowledge of statistics and R, ideally also in a general programming language, e.g. C++/Python
• team orientation, independent working style and high motivation to advance ecological theory and modelling
• excellent knowledge of English, proven publication experience and enthusiasm for scientific writing
We are a diverse and dynamic working group and provide an excellent scientific infrastructure, international collaborations, and an open and collegial lab atmosphere. The Ecosystem Analysis and Simulation Lab belongs to the Bayreuth Centre for Ecological and Environmental Research (BayCEER), which offers a stimulating environment for collaboration. The University of Bayreuth is one of the leading young universities in Germany located in a region with diverse opportunities for outdoor activities.
Please direct enquires to Lisa Hülsmann (email@example.com).
More details on the project and our working group at www.demographicecology.com.