Akademischer Mitarbeiter (w/m/d) OntoSPM
Core
Developing a medical assistant system based on ontologies and Large Language Models (LLMs) for healthcare applications.
Role type
Research associate (academic staff) specializing in NLP and medical AI
Builds
Medical assistant system components, ontologies, and research outputs
Domain
Healthcare + Artificial Intelligence / Natural Language Processing
Deliverable
production ML models
Required skills
Natural Language Processing (NLP), Machine Learning, Ontology development, Knowledge representation, Python programming, PyTorch, Medical data understanding
Preferred skills
Experience with clinical documentation, Interdisciplinary collaboration
Technologies
Python, PyTorch, LLMs, Ontologies
Responsibilities
Develop medical assistant system using ontologies and LLMs, Expand and maintain medical ontologies via expert interviews and literature research, Plan and conduct user studies, Disseminate project results through publications and presentations
Seniority
Mid-level researcher (Master's degree required)
