Kompetenzzentrum Wasser Berlin (KWB) is a non-profit company for applied research and innovation founded in 2001 with over 35 employees. We develop research projects by crosslinking future topics like digitalization, resource efficiency, smart city and climate resilience with the traditional fields of the urban water cycle (www.kompetenz-wasser.de). In addition, KWB promotes the active transfer of knowledge to experts, municipal stakeholders, research partners, as well as to the interested public through public relations and the organization of events.
As part of an interdisciplinary research team within the “Urban Systems” group, you will work on research projects at the interface of hydroinformatics and engineering, contributing to climate adaptation and urban infrastructure resilience.
Your focus will be on monitoring the water quality of small urban lakes via oxygen probes and combine the data with remote sensing services (i.e. Copernicus data). Oxygen and remote sensing data will then be used to automatically estimate water quality (i.e. using machine learning algorithms). Therefore, site specific surrounding conditions need to be integrated. Machine learning algorithms need to be calibrated and validated with typical water quality and hydrological parameters. Specific tasks include:
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