Researcher in Semantic Interoperability and Explainable, Knowledge-driven AI for Smart Systems (SAREF4XAI)

The rising popularity of AI-powered smart environments for building automation and management raises concerns about interoperability, transparency, and trust. These environments often operate across heterogeneous domains, rely on various standards and protocols, and are tailored to different tasks. This makes it difficult to guarantee meaningful integration, explainable decision-making, and automated task execution. Combining semantic technologies with knowledge-driven AI can help alleviate many of these challenges.

Within the SAREF4XAI project, jointly conducted by the Semantics, Cybersecurity and Services (SCS) group at the University of Twente and the User-Centric Data Science (UCDS) group at Vrije Universiteit Amsterdam, we offer a 1-year, part-time research position focusing on semantic interoperability and explainable, knowledge-driven AI for smart environments.

The researcher will explore how ontologies, knowledge graphs, and knowledge-driven AI can be combined to...