Within the RegioDeal Foodvalley (RDFV-II) programme, you will contribute to advanced analyses of air quality monitoring data, emission modelling and scenario studies related to livestock farming and environmental health. RDFV-II is a large public–private collaboration between the Dutch government, regional authorities, societal partners and academic institutions. Its goal is to support the transition towards a sustainable and healthy food system by reducing emissions of ammonia, particulate matter and related agricultural pollutants, and limiting impacts on human health.
Your jobYou will be embedded in the One Health Chemical group at IRAS, Faculty of Veterinary Medicine, Utrecht University. This dynamic and socially engaged group studies how environmental exposures affect health, focusing on the exposome, healthy urban living, and work and health. You will collaborate closely with and you will work both at IRAS and at the National Institute for Public Health and the Environment (RIVM).
As a postdoctoral researcher, you will be working on the topic of ammonia behaviour in source areas. With the shifting focus of policy from deposition to emissions (target management), a better understanding of the processes in source areas has become crucial. Moreover, understanding what happens in source areas is also essential for interpreting developments in nature reserves.
You will be responsible for:
- statistical evaluation of air-quality monitoring network designs, including optimisation of monitoring density for trend detection and model validation;
- comparison of ground-based measurement data with RIVM dispersion models and satellite observations;
- refinement of regional emission and scenario models at farm, sector and regional scale;
- integration of long-term concentration trends, emission inventories and policy measures;
- scenario modelling to assess the effectiveness of emission-reduction strategies and policy impacts;
- improvement of model inputs, including farm-level emissions and manure application data;
- integration of hybrid modelling approaches (e.g. Land-Use Regression combined with dispersion modelling and/or satellite data) to improve spatial concentration maps;
- preparation and publication of scientific papers and scenario study reports;
- occasional support of fieldwork activities, if required.
While the tasks within RDFV-II are clearly defined, there is ample opportunity to emphasise your own research interests and strengths. Collaboration with the Knowledge Network for Regional Environmental Nitrogen Measurements (Onderzoeksprogramma Regionale Omgevingsmetingen Stikstof, OROS) is essential, as there are clear parallel questions. The project provides strong support for your academic and/or professional development, including participation in international conferences, stakeholder interactions in the Netherlands, and meetings with National and European partner organisations.