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generation. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent
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. This main goal of this particular PhD fellowship is to develop state-of-the-art multi-agent communication protocols and innovative educational technologies based on it. Further, in collaboration with a
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but not limited to Generative AI and multi-agent ecosystems. The approach followed encapsulates Design-Based Research (DBR) and Responsible Research and Innovation (RRI) principles. The PhD fellow will
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Cybernetics at NTNU is offering a fully funded PhD position in the area of learning-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks