Research Engineer Neuro-Symbolic AI & Multimodal Systems (f/m/div.)

- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field - Expertise in Neuro-Symbolic AI architectures and frameworks - Proven ability to design, implement, and integrate hybrid AI systems that combine machine learning with symbolic reasoning (e.g., knowledge graphs, rule sets, logic programming, ontologies) to meet complex requirements - Advanced knowledge in building robust data pipelines for multi-modal integration (integration, cleaning, and preprocessing of heterogeneous data sources) - Practical experience in applying state-of-the-art NLP techniques (e.g., Transformers, LLMs, information extraction) to understand user queries, extract insights from texts, and contribute to the automatic construction and expansion of dynamic knowledge bases - Ability to translate complex research findings into practical solutions - Enjoyment of working in an international team - Very good English skills written and spoken, German is a plus