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PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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Job related to staff position within a Research Infrastructure? No Offer Description The PhD will develop models (using AI and agent-based modeling) that identify policies for positive interactions
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computational models and mechanisms that enable AI agents in Hybrid Human-AI teams to learn, adapt, and utilise shared team norms through interactions to ensure their actions are aligned and justifiable
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May 2025 Apply now In human society, communication is an effective mechanism for coordinating the behaviors of humans. In the field of deep multi-agent reinforcement learning (MARL), agents can also
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outcomes. Our research seeks to bridge this knowledge gap by using Agent-Based Modelling (ABM) to simulate and evaluate the impact of various green infrastructure design scenarios in peri-urban areas
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of the PhD student based at CWI in Amsterdam will study integrated hydrogen-electricity markets. In particular techniques from Artificial Intelligence and multi-agent systems for modelling new types of markets
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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PhD Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization (1.0 FTE)
materials as central components for engagement. These tools will be designed and tested through participatory and practice-based methods. Yet, depending on the candidate’s background and evolving project
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. These frameworks will: Identify the causes and responsible agents of liveness breaches, and assess any resulting harm. Support recovery strategies using counterfactual reasoning (“what if?”), guiding programs back
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
materials as central components for engagement. These tools will be designed and tested through participatory and practice-based methods. Yet, depending on the candidate’s background and evolving project