PhD Knowledge Graph-based Retrieval Augmented Generation for Large Language Models (f/m/x)

PhD Knowledge Graph-based Retrieval Augmented Generation for Large Language Models (f/m/x)

THE FUTURE IS WHAT WE CREATE WHEN WE TAKE OUR VISIONS TO THE LIMITS.

PHD AT THE BMW GROUP.

Bridging the gap between your doctoral studies and the kind of career challenge you’re looking for isn’t always easy. That’s why our ProMotion PhD programme gives you the opportunity to apply your passion and scientific expertise to very real challenges that could shape the future of mobility. If selected, you’ll have the chance to really develop your own future career path with us through your practice-related thesis, promote your chosen specialty from within – and position yourself to secure the career you’ve always wanted.

The BMW Group focuses on innovation, digitalization, and forward‑looking mobility technologies worldwide, with interdisciplinary teams working with modern AI and ML methods. In the area of market forecasting, Knowledge Graphs are used to develop scenarios and support the company with a knowledge management system. The goal is to use Knowledge Graphs in conjunction with Large Language Models to facilitate work with scenarios and support experts centrally and in decentralized sales.

What awaits you?

• Research and development of solutions for integrating Knowledge Graphs into Retrieval Augmented Generation (RAG) for Large Language Models (LLMs) in the BMW Group's market prognosis division.
• Identification and evaluation of innovative methods in the field of Knowledge Graphs and their use for knowledge representation and extraction.
• Implementation, testing, and evaluation of prototypes for industrial use cases in collaboration with other departments, such as production digitization.
• Documentation and presentation of research results at scientific conferences.

What should you bring along?

• University degree in computer science, data engineering, data science, business informatics, mathematics, or comparable fields.
• In-depth knowledge of Knowledge Graphs, RAG, and LLMs.
• Experience with graph databases is an advantage.
• Ability to work independently on scientific projects, analytical thinking, and a structured approach to work.
• Very good written and spoken German and English language skills.

Are you enthusiastic about new technologies and innovative environments? Apply now!
Note: Please apply exclusively online through our career portal. Applications submitted via other channels (including email) cannot be considered. Citizens of countries outside the European Union must have a valid residence or work permit for the duration of the program.

What we offer?

• Digital offers & mobile working.
• Apartment offers for students (subject to availability & only Munich).

Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e‑mail.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.