As a research scientist in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will lead and advance research on intelligent AI systems that are able to take action, reason over goals and constraints, as well as organize knowledge through complex neuro-symbolic structures. Your work will focus on next-generation agentic systems that combine reinforcement learning, structured reasoning, memory, and knowledge-based representations to operate effectively in semantically rich also technically demanding environments.

Lead and advance research on intelligent AI systems that take action, reason over goals and constraints, and organize knowledge through neuro-symbolic structures; shape Bosch's scientific agenda by identifying research directions, initiating and coordinating research activities, building connections to external academic and industrial partners, and representing Bosch in research communities; develop systems that move from passive understanding toward goal-directed behavior; investigate how agents learn through interaction, simulation, and structured feedback; represent and manipulate knowledge in compositional forms; integrate reinforcement learning with symbolic abstractions, hierarchical planning, memory, and reasoning; design systems that actively act while structuring knowledge for robust behavior, interpretability, and strong generalization; work closely with research scientists, engineers, students, and domain experts; mentor students and junior researchers; actively shape and structure collaborative research activities; contribute to organizational development of the research area.