How can more households be engaged in the energy transition, especially those less willing or able to take part? This PhD project investigates how individual concerns and behaviors are embedded in wider socio-demographic contexts and spread through social networks. Using survey and register data, you will develop typical household profiles, design an agent-based model, and test interventions in the applied cases in Dutch local neighborhoods. The results will deliver scalable, evidence-based tools for municipalities to accelerate the energy transition.
Your jobThis PhD project is part of Social dYnamics in eNergy systems: Resilience, Governance, and policY (SYNERGY), funded by the Dutch Research Council. SYNERGY is a multidisciplinary consortium involving Utrecht University, TU/e, Tilburg University, University of Twente, TU Delft, TNO, and other partners.
This project focuses on household heterogeneity in local neighborhoods—profiling diverse households and applying network theory and computational approaches to study social dynamics that shape behaviour. Using survey and registry data, the project will map social networks and develop agent-based models linking household preferences to neighborhood outcomes. In close collaboration with local stakeholders, experiments will be conducted to test model predictions and interventions.
During the PhD, you will:
- Gain expertise in theory-driven empirical sociology and complexity approaches
- Learn to integrate survey data, network analysis, and agent-based modeling
- Develop strong skills in data analysis, modeling, and social experiments
- Collaborate with municipalities to design and evaluate social interventions
- Grow into an independent scientist while expanding your knowledge through your own research
- Contribute to a collaborative, enthusiastic, and respectful research environment in the Department of Sociology and the interuniversity research school ICS, and within the consortium of SYNERGY.