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to develop learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor
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Apply online now : https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29009 Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m
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and multi-agent systems capable of planning, reasoning, and executing blockchain-based tasks. Build integrations between AI agents and blockchain infrastructures (e.g., Ethereum-compatible networks
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synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative
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learning-based strategic behavior in multi-agent settings and on designing market rules that ensure stable, efficient, and safe operation of critical infrastructure. The work combines theory and
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specifically interested in: Data-centric AI: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety : Ensuring robust alignment and safety in multi-agent LLM
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mathematical skills, with the ability to understand and engage with computational model implementation. Ability or strong motivation to work with activity-based modelling, agent-based modelling, synthetic
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machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety : Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers
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, ultimately affecting therapy dose. In this project, we will complement the exoskeleton with an AI-based digital health intervention, specifically an LLM-based conversational agent that will deliver