Research Scientist Agentic AI, Reinforcement Learning and Neuro-Symbolic Systems (fmdiv.)

• 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.
• This role goes beyond individual technical contributions. You will contribute to shaping Boschs 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 effectively position Bosch in collaborative projects scientific exchanges also strategic initiatives related to agentic AI reinforcement learning as well as neuro-symbolic systems.
• From a scientific perspective you focus on developing systems that move from passive understanding toward goaldirected behavior. 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. Your objective is to design systems that actively act while structuring knowledge to enable robust behavior interpretability also strong generalization.
• You will work closely with research scientists engineers students as well as domain experts across addition to conducting high-level research you will mentor students also junior researchers actively shape and structure collaborative research activities and contribute to the organizational development of this research area. Your work will be instrumental in establishing Boschs long-term leadership in intelligent systems for complex technical environments.

Qualifications :

• 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 & ActionOriented Systems
    • strong expertise in reinforcement learning and agentic AI including sequential decisionmaking and learningbased planning
    • experience with advanced RL paradigms such as modelbased hierarchical offline multiagent or constrained RL
    • deep understanding of goaldirected AI systems involving memory tool use planning multistep reasoning and longhorizon behavior
    • ability to design and analyze systems that act in complex environments and improve through interaction simulation or structured feedback
  • NeuroSymbolic Systems & Knowledge Organization
    • proven experience in combining learningbased AI with symbolic or structured representations
    • familiarity with neurosymbolic architectures knowledge graphs 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 Domains
    • interest in applying advanced AI methods to complex technical and cyberphysical domains such as systems engineering robotics or industrial automation
    • experience with structured engineering artifacts (e.g. requirements system models simulations or formal specifications) is an advantage
    • ability to frame complex technical challenges in terms of sequential decisionmaking planning or knowledgebased reasoning
  • Scientific Leadership Networking & Mentoring
    • demonstrated 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 communitybuilding activities
    • mentoring experience with students and junior researchers combined with strong organizational and coordination skills
  • AI Infrastructure & Research Prototyping
    • solid experience in Python and modern deeplearning 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 & Mindset
    • strong sense of ownership and entrepreneurial mindset in driving research topics
    • ability to connect fundamental research with longterm strategic value
    • excellent analytical and communication skills paired with a collaborative interdisciplinary leadership style
• 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
• Languages: fluent English skills written and spoken German is a plus

Additional Information :

 
submit all relevant documents (CV letter of motivation certificates and links to GitHub or kaggle account). 

We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.

Need support during your application
Meltem Arabacioglu (Human Resources)

Need further information about the job
Michael Pfeiffer (Functional Department)
49 5
Jim Mainprice (Functional Department)
49 9

Work #LikeABosch starts here: Apply now!

Remote Work :

No

Employment Type :

Full-time