As a research engineer in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will develop the next generation of agentic AI systems based on reinforcement learning, with a primary focus on applications in systems engineering. Your work will address how intelligent agents can support and partially automate complex engineering workflows by learning to make structured decisions in environments shaped by constraints, specifications, system models, and long-horizon objectives. * This role centers on the design of AI agents that do not merely respond to prompts, but can interact with engineering artifacts, reason over goals and constraints, and improve their behavior through feedback, simulation, and optimization. You will investigate how reinforcement learning, hierarchical decision-making, model-based methods, and planning can be combined with modern ...
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