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candidates who can integrate Agentic AI with systems thinking, agent-based modeling, and system dynamics, thereby linking advanced AI with methods for analyzing, simulating, and designing complex socio
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integrate Agentic AI with systems thinking, agent-based modeling, and system dynamics, thereby linking advanced AI with methods for analyzing, simulating, and designing complex socio-technical systems. You
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candidates who can integrate Agentic AI with systems thinking, agent-based modeling, and system dynamics, thereby linking advanced AI with methods for analyzing, simulating, and designing complex socio
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PhD: Potential of AI in planning support for Nature-Based Solutions Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application deadline
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, biology or other relevant field; 3-5 years of experience in ecological or environmental modelling (e.g., TKTD, agent-based, mechanistic). Strong scientific writing skills with a track record of publications
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or environmental modelling (e.g., TKTD, agent-based, mechanistic). Strong scientific writing skills with a track record of publications Affinity with ecotoxicology and environmental risk assessment. Programming
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economics/social sciences, network flows, agent-based approaches, integrated systems, holistic design. Application of advanced mathematics such as complexity theory, mean field game theory, or statistical
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and uncertainties of such a system. This position aims at designing an intrinsically stable and freely scalable, potentially distributed power system based on 100% power electronic connected generation
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have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modeling), spatial data infrastructure systems and strategies, participatory serious gaming
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, behavioural data). Your team You will collaborate with several GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modeling