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) integrate both qualitative foresight scenario planning and quantitative scenario simulation workflows; 2) develop new spatially explicit surrogate models that enable the use of large-scale agent-based models
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before the start date) in a relevant field Brings expertise in at least one of the following areas: environmental governance, data governance, technology policy, simulation-based modeling (e.g., agent
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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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the winter months, including operating a tethered balloon system and assisting with UAV/floating balloon operations. Conducting warm cloud seeding experiments using different seeding agents (e.g., giant salt
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, (Byzantine) Fault Tolerance, Peer-to-Peer Networks. Online Algorithms: Partially-Observable Markov Decision Processes (POMDPs), Cooperative and Competitive Multi-Agent Reinforcement Learning (MARL), Multi
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(m/w/d) 60%-80%, Zürich, befristet 14.07.2025 | D-ARCH PHD Position in Planning Transport Systems under Uncertain Futures through Agent-Based Simulations and