Required skills
- Knowledge Graphs
- AI
- Machine Learning
- Data Science
- Information Extraction
- Graph Theory
- Linear Algebra
- Statistics
- Probability Theory
- Optimization
- Python
- SQL
- Cypher
- SPARQL
- Large Language Models
- Agentic AI
- Named Entity Recognition
- Entity Resolution
- Relation Extraction
Nice to have:OntologiesSemantic Data ModelsScientific ResearchExperimental Design
Languages: German
Job description
Research, design, and evaluate knowledge graphs for AI applications, develop methods for data quality assessment, and benchmark AI techniques.
Project overview
Scope of Services
- Research, conception, and evaluation of knowledge graphs for AI applications
- Development and implementation of methods for assessing data quality in knowledge graphs
- Benchmarking of Named Entity Recognition, Entity Resolution, Relation Extraction, and LLM-based methods
- Realization of ontologies and semantic data models
- Analysis of complex graph structures using graph theory and statistical methods
- Development of retrieval, traversal, and multi-step reasoning approaches, as well as creation of benchmarking scenarios and evaluation frameworks
Requirements
Contact Person: Freelance Acquisition Expert Ms. Diorena Ullrich
FERCHAU Contract GmbH
Cologne CONTRACT Branch
Am Coloneum 6
50829 Cologne
- Expertise in Knowledge Graphs, AI/Machine Learning, Data Science, and Information Extraction
- Relevant competence in graph theory, linear algebra, statistics, probability theory, and optimization methods
- Know-how in programming with Python, SQL, and graph query languages such as Cypher or SPARQL
- Knowledge of LLMs (Large Language Models), Agentic AI, and scientific research and experimental design
Project details
- Start: 2026-12-08
- Remote: remote
- Location: Bonn, Deutschland, DE
- Languages: German
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