Research Scientist Agentic AI, Reinforcement Learning and Neuro-Symbolic Systems (f/m/div.)

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. The Robert Bosch GmbH is looking forward to your application!

Employment type: Unlimited Working hours: Full-Time Joblocation: Renningen 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 distract 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 learning, structured reasoning, memory, and knowledge-based representations to operate effectively in semantically rich so technically demanding environments. This role goes beyond individual technical contributions. You will contribute to shaping Bosch's scientific agenda in this area by identifying promising research directions, initiating and coordinating research activities, building connections to external academic and industrial partners, as well as representing Bosch in relevant research communities. You are expected to bring a strong external network and effective position Bosch in collaborative projects, scientific exchanges, so strategic initiatives related to agentic AI, learning, as well as neuro-symbolic systems. From a scientific perspective, you focus on developing systems that move from passive understanding towards goal‐directed behavior. You investigate how agents learn through interaction, simulation, and structured feedback, represent so manipulate knowledge in compositional forms, as well as integration learning with symbolic abstractions, hierarchical planning, memory, and reasoning. Your objective is to design systems that act while structuring knowledge to enable robust behavior, interpretability, so strong generalization. You will work closely with research scientists, engineers, students, as well as domain experts across Bosch. In addition to conducting high-level research, you will mentor students so junior researchers, active shape and structure collaborative research activities, and contribute to the organizational development of this research area. Your work will be instrumental in establishing Bosch's long-term leadership in intelligent systems for complex technical environments.

Education: excellent MSc in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Systems Engineering, or related fields PhD in Machine Learning, Reinforcement Learning, Agentic AI, Neuro-Symbolic AI, Sequential Decision-Making, or a closely related area is mandatory ideally several years of post-PhD research experience in academia, industry research, or a comparable environment strong publication record in leading AI, machine learning, or autonomous systems venues such as NeurIPS, ICLR, ICML, AAAI, IJCAI, CoRL, RSS, AAMAS, ACL, EMNLP, KR, or similar

Experience and Knowledge: Agentic AI, RL & Action‐Oriented Systemsstrong expertise in learning and agentic AI, including sequential decision‐making and learning‐based planning experience with advanced RL paradigms search as model‐based, hierarchical, offline, multi‐agent, or constrained RL deep understanding of goal‐directed AI systems involving memory, tool use, planning, multi‐step reasoning, and long‐horizon behavior ability to design and analyze systems that act in complex environments and improve through interaction, simulation, or structured feedback

Neuro-Symbolic Systems & Knowledge Organizationproven experience in combining learning‐based AI with symbolic or structured representations familiarity with neuro‐symbolic architectures, graph knowledges, formal reasoning structures, and compositional representations ability to design systems that organize knowledge in semantically meaningful ways while supporting action, planning, interpretability, and generalization

Systems Engineering & Structured Technical Domainsinterest in applying advanced AI methods to complex technical and cyber‐physical domains search as systems engineering, robotics, or industrial automation experience with engineering artifacts (e.g. requirements, system models, simulations, or formal specifications) is an advantage ability to frame complex technical challenges in terms of sequential decision‐making, planning, or knowledge‐based reasoning

Scientific Leadership, Networking & Mentoringdemonstrated ability to initiate, structure, and lead research activities in a focused technical domain strong external scientific network and experience building collaborations with academic and industrial partners proven track record in publications, project coordination, and community‐building activities mentoring experience with students and junior researchers, combined with strong organizational and coordination skills

AI Infrastructure & Research Prototypingsolid experience in Python and modern deep-learning frameworks (e.g. PyTorch, TensorFlow, JAX) familiarity with scalable experimentation, reproducible research, and collaborative software development ability to translate research ideas into functional prototypes and experimental platforms

Scientific Contributions & Mindsetstrong sense of ownership and entrepreneurial mindset in driving research topics ability to connect fundamental research with long‐term strategic value excellent analytical and communication skills, paired with a collaborative, interdisciplinary leadership style

Personality and Working Practice: you are a scientific strong and organizationally capable researcher with a clear ambitious to shape and lead research 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 Languages: fluent English skills written and spoken, German is a plus

Work-life balance: Flexible working in terms of time, place and working model. Health & Sports: Wide range of health and sports activities. Childcare: Intermediary service for childcare services. Employee discounts: Discounts for employees. Room for creativity: Space for creative work. In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan. .