2 jobs found

The position is funded for 9 months. Part time employment is possible. The project   aims to investigate how in human-dominated landscapes we can enrich biodiversity. In a first step, we integrate the science of ecological assessment, urban blue-green infrastructure planning and spatial modelling to quantify structural and functional connectivity in Swiss lowland/urban landscapes. A key challenge will be the exploitation of machine learning to extract relevant spatial characteristics from remote sensing data. This highly interdisciplinary project is a collaboration between Eawag and WSL. Your profile : You have experience with programming (Python, Julia, R) and strong GIS and spatial data management experience. German is a very strong asset as much of the data have local descriptors. Eawag offers   a unique research and working environment and is committed to promoting equal opportunities for women and men and to support the compatibility of family and work. Applications...

The architecture of community structure, functional traits and trophic networks across blue-green ecosystems The position is for a period of 1 year, but it is possible that it can be extended beyond that. Classically, biodiversity dynamics have been studied based on species richness. More recently, studies mostly focusing on bipartite networks have started to look at structural changes in ecological networks, highlighting the importance of interaction networks and their effects on species persistence and ecosystem functions. However, to date, virtually no study has evaluated how both species richness and network structure vary across paired sites in aquatic and terrestrial ecosystems. In this project, you will analyse the architecture of community structure, functional trait diversity and trophic networks across spatially coupled blue and green ecosystems at two spatial scales, where you will study similarities and differences in the structure of aquatic and terrestrial food...