The research group “Landscape Ecohydrology” in the Department of Ecohydrology & Biogeochemistry of IGB in Berlin (Friedrichshagen) is inviting applications for the position of a Postdoctoral Research Fellow (24 months, fulltime with less % possible) starting from 01.10.2022. The position is part of the BiodivERsA-funded project BiNatUr which aims to quantify the role of biodiversity and its linkages with ecosystem services in urban aquatic ecosystems. The overall goal of BiNatUr is to improve the planning, building, restoration, and management of nature-based solutions in urban aquatic ecosystems, supporting the transformation to climate-smart, biodiversity-friendly, and sustainable cities. BiNatUr is an international project with partners in Lisbon, Antwerp, Poznań and Helsinki. The aim of this postdoc position is to quantify and characterize regulating ecosystem services of selected water bodies serving as nature-based solution by using an integrated tracer approach of stable water isotopes (deuterium, oxygen) and eDNA. We will examine the integrated effects of water sources and pathways of urban waters, and will quantify the direct and indirect effects of hydrological processes on urban biodiversity. The position also aims to quantify the resilience of small urban water bodies (streams and lakes) while assessing how hydrological limitations affect their suitability as habitat for aquatic biota.
We seek a dynamic, motivated and ambitious scientist to join an existing interdisciplinary science and modelling team on Landscape Ecohydrology to support the evolution and growth of coupled hydrological-ecohydrological modelling in urban systems. It is expected that the modelling will utilise existing data sets from instrumented research sites across Berlin. The successful candidate will have experience in the development and application of numerical models for different purposes, across various scales and environmental science contexts. The successful candidate should be experienced in combining process-based (hydrological) understanding with strong numerical / computational skills. Experience with programming is essential. Expertise in remote sensing & data assimilation and / or incorporation of tracers into hydrological models would be advantageous. Access to high-performance computer clusters is available to facilitate use and development of “state of the art” research models.