WHAT YOU WILL BE CONTRIBUTING

We are looking for applicants with a background in data-driven environmental science, which have affinity with stakeholder interactions. Applicants should hold an MSc degree in environmental science or ecology, with a proven expertise in data analysis, organizing and handling. Expertise in machine learning is a plus. A sound command of the English language in written and spoken word is required. Knowledge of the Dutch language is recommended (B2 level). Applicants should be team players, who enjoy working within a consortium of diverse backgrounds.

For the TKI funded project SlimmeBurger (aka “Smart citizen”) we are looking for an enthusiastic PhD candidate. The project SlimmeBurger, aims to investigate, in collaboration with citizen scientists, the extent to which smart monitoring methods can be used to investigate the ecological status of smaller -often unmonitored- water bodies. These water bodies make up one-third of the total number of water bodies in the Netherlands, but they are often not subject to standard monitoring, nor are they included in the mitigation plans for the EU Water Framework Directive, the most important regulation for surface waters.
Because small water bodies are often the first point of entry for sources of pollution such as manure runoff (rural areas) or sewage overflows (urban areas), they also offer a starting point for a direct, source-oriented approach. In the SlimmeBurger project, the prospective PhD student will be testing smart measurement methods for water quality (using scalable toolkits like the GUPPY from partner WaterInsight), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development.
The partners in the SlimmeBurger project contribute knowledge from nature development and multifunctional land use (Dekker Group and Leisurelands), citizen measurement campaigns and healthy water for citizens (RIVM, Natuur en Milieu), and smart measurement methods (NIOO and WaterInsight).