PhD in Spatial System Mapping and Decision-Support Design for Nature-Inclusive Agrifood Transitions

Are you motivated to contribute to the transition toward nature-inclusive agriculture and horticulture? Do you want to work at the interface of geospatial technologies, information systems, biodiversity restoration, and real-world decision-making by farmers and agrifood stakeholders? Join the NWO-KIC project RISE – Resilient Integrated Systems for Ecosystem restoration as a PhD candidate. You will co-develop an interactive spatial decision-support framework for agrifood transitions in an interdisciplinary team of four PhD candidates, collaborating closely with farmers and societal stakeholders.

Information
Biodiversity restoration in agriculture and horticulture is urgently needed, but difficult to realize in practice. Farmers operate in complex systems: they are embedded in value chains, regional communities, regulatory environments, ecological landscapes, and business models that often prioritize short-term productivity and profitability. RISE addresses this challenge by developing systems-based tools and implementation pathways that help stakeholders make nature-inclusive decisions that are ecologically meaningful, economically viable, and socially supported.

RISE is an interdisciplinary project involving Eindhoven University of Technology, Wageningen University & Research, Leiden University, and Inholland University of Applied Sciences, together with a broad network of societal partners from agriculture, horticulture, regional development, water management, policy, and civil society. The project works in two regional case areas: Reusel-Zuid, focused on open-field agriculture, and Oostland Zuid-Holland, focused on greenhouse horticulture. A third region on tree-nursing will be used for validation and replication.

This PhD position is hosted by the Eindhoven University of Technology, within the Department of the Built Environment (BE). You will be part of a closely connected cohort of four PhD candidates working across universities and disciplines. All candidates receive cross-university supervision to ensure deep integration between innovation science, system dynamics, spatial modeling, and ecology.

The specific focus of this PhD project is on spatial system mapping and decision-support design. You will investigate how spatial development interacts with systemic dynamics and implementation feasibility. Using geospatial modeling, participative mapping, and interactive workshops, you will analyze how landscape conditions, land-use choices, and regional features shape the feasibility of biodiversity-enhancing practices.

Your work will include:

• Socio-Ecological-Economic Mapping: Co-creating integrated regional maps that combine human actors with non-human elements (e.g., ecological features, water systems) to visualize regional interdependencies.
• Decision-Support Framework Construction: Taking the lead in designing and constructing an interactive spatial decision-support framework grounded in system dynamics logic.
• Model Integration: Collaborating with the broader PhD cohort to link temporal system dynamics simulation models to real-world spatial configurations.
• Stakeholder Facilitation: Designing and running interactive scenario workshops where regional stakeholders use geospatial tools to evaluate the spatial feasibility and trade-offs of biodiversity measures.
• Dissemination & Scaling: Integrating spatial insights into actionable technology and policy roadmaps, and validating the developed tools within a third case region.
• Academic Output: Publishing high-quality academic papers, individually and collaboratively, on spatial systems modeling, stakeholder alignment, and digital tool design for sustainability transitions.

This position is ideal for a candidate who is comfortable working interdisciplinary, at the boundary between theory and practice: developing rigorous academic insights while engaging closely with farmers, regional stakeholders, businesses, policymakers, and researchers from other disciplines.

The Department of the Built Environment at TU/e provides a cutting-edge environment with extensive expertise in information systems, decision support, nature-based solutions, and data/information modeling. You will join a group that excels at translating complex spatial data into digital environments, tools, and platforms that support collaborative innovation and real-world impact.