PhD – Agentic AI and Multi-Agent Systems (fmdiv.)

• As a PhD candidate with us you will dive deep into the world of agentic AI systems and contribute significantly to the development of intelligent solutions for real-world challenges combining cutting-edge research with direct industrial impact.
• You will work on developing the next generation of AI systems for industrial applications and apply your expertise in practical projects.
• Adapting foundation models efficiently and orchestrating multi-agent systems will be at the core of your work.
• You will integrate knowledge graphs and retrieval-augmented generation (RAG) into innovative AI architectures.
• A key part of your role involves researching and applying reinforcement learningbased training approaches for intelligent agents.
• Last but not least you will continuously validate your research results using real engineering use cases at Bosch contributing directly to the advancement of modern enterprise processes.

Qualifications :

• Education: excellent Masters degree in Computer Science Artificial Intelligence Mathematics or a comparable field
• Experience and Knowledge: 
  • strong knowledge of large language models (LLMs) foundation models and deep learning combined with hands-on experience in fine-tuning (e.g. SFT RLHF/RLAIF) or parameter-efficient adaptation methods such as LoRA or adapters
  • experience with retrieval-augmented generation (RAG) including dense retrieval reranking and advanced architectures as well as the integration of knowledge graphs ontologies or other knowledge engineering approaches (ideally with SPARQL Cypher or KG embeddings)
  • familiarity with multi-agent systems or agentic frameworks (e.g. LangGraph AutoGen CrewAI) including aspects of agent safety controllability and human-in-the-loop approaches
  • strong programming skills in Python and experience with machine learning frameworks ideally complemented by knowledge of reinforcement learning (e.g. RL RLHF policy optimization)
  • experience in evaluating agentic systems using relevant frameworks or benchmarks ideally complemented by contributions to scientific publications
• Personality and Working Practice: you combine analytical thinking with a self-driven structured approach delivering results and taking ownership of your tasks; in international collaborative environments you stand out through strong communication and presentation skills
• Languages: fluent in English

Additional Information :

final PhD topic is subject to your university.

Start: according to prior agreement

Please submit all relevant documents (incl. curriculum vitae certificates).

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
Celina Dannecker (Human Resources)
49 6

Need further information about the job
Evgeny Kharlamov (Functional Department)
49 5
Jim Mainprice (Functional Department)
49 9

Work #LikeABosch starts here: Apply now!

Remote Work :

No

Employment Type :

Full-time