SAP is seeking a Research Fellow in the Global Content Group (GCG) Engineering team to work on neuro-symbolic AI approaches and develop knowledge-grounded question answering systems.
Requirements
- PhD candidate (mid-to-late stage) or postdoctoral researcher in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field
- Strong background in neuro-symbolic AI, knowledge representation, or semantic web technologies (RDF, OWL, SPARQL)
- Hands-on experience with large language models or foundation models — fine-tuning, prompt engineering, or knowledge injection techniques
- Familiarity with text-to-SPARQL, semantic parsing, or knowledge graph question answering (KGQA)
- Solid programming skills in Python; experience with ML frameworks (PyTorch, Hugging Face) and knowledge graph tooling is a plus
- Research track record in neuro-symbolic systems, NLP, or knowledge graphs — with publications
- Ability to drive independent research and translate findings into working prototypes
- Good communication skills in English (written and spoken); German is a plus
Benefits
- Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed
- Flexible working models