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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.
• PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines
• Extensive experience with Knowledge Graphs as well as large language models (e.g. graph embeddings)
• Proven professional experience in academic and industry settings
• Deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research
• Candidate must have an academic background in one of the following fields: LLMs, Foundation Models, or Knowledge Graphs. This should be supported by a substantial record of related publications, including recent works, and a well-established network in these fields.
• Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Optionally, hands-on experience with RDF, Neo4j, TypeDB, PyG or similar technologies
• 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
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