PhD in Remote Sensing

At the University of Bayreuth, at the Chair of Fungal Ecology, a position is expected to be filled as of 01.05.2026 (part-time, 65%). The position is limited to 4 years./nThe largest part of plant and animal biomass produced in forests enters the soil compartment, and returns into nutrient cycles as dead organic matter, which is decomposed by bacteria, fungi, arthropods and other soil organisms. The structure of the forest canopy affects light, temperature and moisture conditions at ground level, and the quantity and quality of litter and dead wood produced, which thus determines decomposer biodiversity, rates of decomposition and nutrient cycling. Therefore, changes in forest management practices that alter the forest canopy can largely affect decomposers, decomposition processes and nutrient fluxes. This project aims to quantify the direct environmental (microclimate, resource availability) and indirect microbial diversity effects of Enhancement of Structural Complexity treatments on necromass decomposition at the patch (alpha), between-patch (beta) and forest district (gamma) level. A broad set of diversity measures, encompassing taxonomic, phylogenetic, and functional diversity, will be employed to enhance our mechanistic understanding of microbial diversity’s relationship to decomposition processes. The project includes assessing the temporal aspects of decomposition through continuous monitoring of (i) crucial decomposer groups, specifically bacteria and fungi found in deadwood, and of (ii) decomposition rates of various necromass types, including often overlooked fungal mycelia. Finally, to evaluate the functional implications of different decomposition rates resulting from ESC treatments, we will use a tracer experiment to measure nutrient release from decomposing substrates and their subsequent uptake by plants./nWe are looking for candidates (m/f/d) with a deep interest for molecular ecology and ecosystem functioning research, who appreciate intensive field work in the forest as well as lab work, and who have a good understanding of statistics. We offer a four-year TV-L 65 % contract, excellent working conditions, and an inspiring atmosphere at the Universities of Bayreuth and Freiburg.