Master Thesis Graph-based Question Answering And Retrieval-augmented Generation Systems

Bosch Rexroth Pty. Ltd.

Reutlingen, Germany
On-site
Master studies in computer science or related field
Strong academic background in machine learning
Proficiency in python with object-oriented coding
The thesis focuses on expanding state-of-the-art GraphRAG systems by leveraging semantic web technologies like RDF, OWL, and SPARQL

Job Summary

  • The thesis focuses on expanding state-of-the-art GraphRAG systems by leveraging semantic web technologies like RDF, OWL, and SPARQL.
  • You will design and implement a prototype system that integrates symbolic approaches and ontological reasoning into retrieval pipelines.
  • The role offers a hybrid work setup with 60% on-site presence at the Reutlingen location.

Matching Summary

The thesis focuses on expanding state-of-the-art GraphRAG systems by leveraging semantic web technologies like RDF, OWL, and SPARQL.

Skills & Requirements

Must-have

  • Master studies in Computer Science or related field
  • Strong academic background in machine learning
  • Proficiency in Python with object-oriented coding
  • Experience with RDF-based semantic web stack
  • Hands-on experience with RAG systems

Nice-to-have

  • Motivated and proactive approach to research
  • Ability to take ownership of open-ended problems
  • Familiarity with ontology-driven reasoning
  • German language skills beneficial

Key Requirements

  • Enrollment at university required
  • Very good grades in Master studies
  • Valid work and residence permit if applicable

Work Rights

Valid work and residence permit if applicable

Tailored Resume

Cover Letter