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rather than one-shot scenario evaluation. The core research directions of the PhD project include: (i) multi-agent RL to jointly learn policies for multiple control parameters; (ii) uncertainty-aware
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be considered an advantage if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong
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if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong mathematical foundations. Hands
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techniques and AI, engineer robust and adaptive solution systems, and address challenges related to multi-agent coordination and decision-making under uncertainty. The ideal candidate will have a strong