Job Description

We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). The position is part of a newly funded 4-year research project starting in 2026, focused on domain-specific, trustworthy, and explainable AI systems.

Work tasks

Recent advances in foundation models have demonstrated impressive capabilities, but they still face critical limitations in reasoning, explainability, robustness, and domain adaptation. This project explores integrations of modern LMs with ontologies and knowledge graphs to address these challenges.

The research will investigate:

  • Ontology- and KG-enhanced language models
  • Domain-specific language models and retrieval-augmented generation
  • Knowledge grounding, constraint-aware generation, and explainability
  • Evaluation methodologies for knowledge-intensive AI systems
  • The project will be dr...

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