You investigate how agents learn through interaction, simulation, and structured feedback, represent also manipulate knowledge in compositional forms, as well as integrate reinforcement learning with symbolic abstractions, hierarchical planning, memory, and reasoning. + experience with advanced RL paradigms such as model‑based, hierarchical, offline, multi‑agent, or constrained RL * Personality and Working Practice: you are a scientifically strong and organizationally capable researcher with a clear ambition to shape and lead research activities in the field of agentic AI at Bosch; you combine deep methodological expertise with external visibility, mentoring experience, and the ability to build and coordinate impactful research efforts
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