We are looking for a student assistant to support the further development of the LLM-based tool KONDA for semantic annotation and knowledge graph creation for research data.
| Job Type | HiWi |
| Extent | 10-15h |
| Application Deadline | 2025/10/22 |
| Status | Open |
| Contact(s) |
Soo-Yon Kim |
Data-driven work increasingly requires sharing and connecting data across different contexts.
Our group develops tools that make data easier to understand, link, and reuse. In our ongoing work on the tool KONDA, we explore how LLMs can support the semantic annotation and structuring of research data, enabling researchers to create data annotations and knowledge graphs with minimal technical effort. To advance this system, we are looking for a student assistant to help extend, deploy, and evaluate the tool.
Tasks:
- Further development and optimization of the KONDA web application
- Deployment of open-source language models (e.g., via Ollama or HuggingFace)
- Implementation of a lightweight, demonstrable version of the system
- Improvement of scalability and performance (e.g., efficient handling of large datasets)
- Experimentation with real-world or synthetic datasets to evaluate tool performance
- Documentation and participation in research publications
What we offer:
- Hands-on research at the intersection of AI and semantic technologies
- Organize your working hours as you see fit
- Possibility of using the institute’s working spaces
- Part of a young research & teaching group and community of institute-affiliated peers
- Possibility to explore related topics for a thesis
- Experience or strong interest in LLMs, applied AI, semantic technologies, and data management
- Proficiency in web development frameworks, e.g., Go, React, HTMX
- Preferrable: Experience with graph database systems, e.g. Neo4j
- Preferrable: Familiarity with interoperability concepts, e.g., ontologies, RDF, FAIR principles
If you are interested, please send your CV, transcript of records, and application to: kim@dbis.rwth-aachen.de