Do you want to be part of a project aiming to improve the sustainability of European agriculture?
The European Common Agricultural Policy (CAP) support the livelihood of 11 million farmers while maintaining environmental standards and good agricultural practices over half of the European Union (EU) land. Yet, pressures including land-use intensification, abandonment and climate change remain a challenge to the current CAP and its implementation.Existing impact assessment models do not appropriately address the complexity of decisions made by farmers and ignore the wider impacts of policy on natural, social and cultural assets in rural areas.
The BESTMAP (Behavioural, Ecological and Socio-Economic Tools for Modelling Agricultural Policy) project funded by the European Union's Horizon 2020 research and innovation programme will develop new modelling framework that will transform future EU rural policies’ design and monitoring, promoting a sustainable future for the EU agricultural sector. BESTMAP will
- Develop a behavioural theoretical modelling framework to take into account complexity of farmers’ decision-making;
- Develop, adapt and customize a suite of open-source, flexible, interoperable and customisable computer models linked to existing data e.g. LPIS/ IACS and remote sensing e.g. Sentinel-2;
- Link economic, individual-farm agent-based, biophysical ecosystem services and biodiversity and geostatistical socio-economic models;
- Produce a simple-to-use dashboard to compare scenarios of Agri-Environmental Schemes adoption;
- Improve the effectiveness of future EU rural policies’ design, monitoring and implementation.
We are looking for an enthusiastic Post-Doctoral researcher with a background in computer simulation, agent-based modelling, farmer behavioural modelling or microsimulation to join the BESTMAP team in the University of Leeds and contribute to the development of individual-farm agent-based modelling on farmer decision making, in dealing with challenges in land-use intensification, sustainable agriculture and climate change.
You should have a PhD (or be very close to obtaining a PhD) in Geography, Computer Science, Economics, Ecology, Agricultural Science, Behavioural Science, Mathematics/Statistics, Physics – or a related discipline with a significant component of computational modelling – and be able to demonstrate a combination of enthusiasm and expertise in computational modelling.
To explore the post further or for any queries you may have, please contact:
Prof. Guy Ziv, Chair in Socio-Environmental Systems, email: G.Ziv@leeds.ac.uk