This postdoctoral research will address the development of a multi-agent modeling framework integrated with robust and stochastic optimization techniques for dynamic waste management. The project specifically requires hands-on engagement with real-world waste management operations to model complex interactions between multiple stakeholders—households, municipalities, waste collection contractors, recycling facilities, and regional authorities—who make decisions under uncertainty and potentially conflicting objectives. The candidate will need to work directly with these stakeholders to understand their operational constraints, decision-making processes, and strategic concerns. The research will build tools to simulate emergent behaviors in waste flows based on stakeholder interactions and field observations, assess the impact of territorial and regulatory constraints through empirical data collection, and guide equilibrium strategies that align stakeholder incentives with circular economy goals. This work demands deep practical understanding of waste management systems, proven ability to establish rapport with industry professionals, and demonstrated experience in translating real-world operational challenges into quantitative models.