SAP Senior Researcher f/m/d SAP Business AI - Knowledge Graph 

France, Ile-de-France 

355773453

The Role:

• Establish and manage research collaborations with academia, industry and commercial partners
• Contribute pioneering technical advances to the combination of knowledge graphs and large language models, including hands-on contributions to model code
• Enable academic research by providing Business AI relevant problem statements, frameworks and data sets
• Keep the pulse with the research, providing insights into the latest research findings and making them comparable with internal work
• Translate project innovations into research publications and contribute to thought leadership in large language models and Generative AI.
• Work closely with the knowledge graph team to exchange information and ensure that internal initiatives and project deliverables are aligned with community best practices.

What you bring

• PhD or Master’s degree in Computer Science, Artificial Intelligence, physics, mathematics or other relevant disciplines
• Extensive experience with Knowledge Graphs as well as large language models (e.g. graph embeddings)
• Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research
• Candidate must have an academic background in Knowledge Graphs (modeling and validation) and how to leverage semantic technologies for LLMs, or Foundation Models. This should be supported by a substantial record of related publications, including recent works, and a well-established network in these fields.
• In-depth experience with semantic modeling technologies: RDF, RDF*, RDFS, OWL, SHACL, and python libraries for graphs, (Neo4j, TypeDB are added advantage). Expertise in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Ideally a modeling expert with working knowledge of adapting LLMs with Knowledge Graph context and semantics.
• Ideally a proven track record in knowledge graph modeling related research, with sub topics like modeling of domain specific knowledge graph vocabularies, cross use case vocabularies, modeling design patterns or knowledge graph life cycle management.
• Ideally, professional experience with the combination of knowledge graphs and large language models in ERP domain
• Proven history of leading projects with a strategic mindset complemented by superior organizational abilities