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Field
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data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by delivering
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Your Job: In the CrowdING project, you will develop agent-based movement models that realistically simulate different behaviors such as lining up, overtaking, or pushing. Based on this, you will
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Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group develops and
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, and knowledge integration Safe, transparent, and privacy-preserving agent-based AI Eligibility and requirements The candidate should have a first or upper second-class BEng and MEng (or equivalent
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to perceive, reason and act flexibly. The models will be trained on simulated datasets to learn general behaviours, then fine-tuned for specific tasks. The aim is to create intelligent agents that could
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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improvement options, and visualize for end users. Develop an agent-based digital twin platform of VvEs to support the energy transition decision making. Further develop agent-based model for collective decision
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to develop state-of-the-art multi-agent communication protocols and innovative educational technologies based on it. Further, in collaboration with a postdoc, the candidate should establish models
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early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based platforms, co-creation workflows, and
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-behavioral biases are most critical in facilitating climate risks to become systemic. This data collection and analysis work will benefit from the computational agent-based and macroeconomic modeling (carried