Abschlussarbeit Knowledge Graphs und KI-basierte Informationssuche für Digital Thread (all genders)
Core
Develop and evaluate a prototype combining Knowledge Graphs and modern AI methods to enable cross-domain information access via a 'Digital Thread' throughout the product lifecycle.
Role type
Master's thesis researcher (Knowledge Graphs & AI)
Builds
A prototype for cross-domain information integration and a natural language search interface based on LLMs
Domain
Aerospace engineering + Knowledge Graphs + Generative AI
Deliverable
production ML models
Required skills
Knowledge Graphs, Graph databases, Large Language Models (LLMs), Information Retrieval, Python programming, Machine Learning frameworks
Preferred skills
Agentic AI, Retrieval Orchestration, Data architectures
Responsibilities
Investigate and compare suitable Knowledge Graph technologies, Conceptualize and implement a prototype for information integration, Develop a natural language search interface, Research and evaluate Agentic AI approaches, Analyze solution quality regarding accuracy, robustness, performance, and usability
