Data Science Engineer (f / m / x) – AI Explainability in Ambient Assisted Living

The research group “Clinical Dementia Research” (Prof. Dr. Stefan Teipel) works on the methodological development and validation of innovative methods to improve dementia diagnostics, the monitoring of disease progression, and the determination of intervention effects. In previous projects, such as “EXPLAINATION”, we developed explainable artificial intelligence (XAI)-based assistance tools to support the diagnosis of dementia. In the upcoming project “BehAIve : Behaviour Monitoring and Support of Older Adults”, funded by the Ministry of Science, Culture, Federal and European Affairs of the State Mecklenburg-Western Pomerania, we will further extend our explainable AI toolbox to integrate multimodal motion and environment sensor data. More specifically, we will focus on computational modelling approaches to ensure the comprehensibility and explainability of a smart living control system that provides situation-adaptive support to geriatric patients and people with mild cognitive impairment in performing everyday activities.

• Scientific research work in the field of conceptual development for the automated synthesis of auditory and textual explanations, implementation and evaluation of the overall system
• Ontology development and knowledge representation engineering as a basis for the explanatory system
• System benchmarking and testing with respect to robustness and generalizability to multiple environments and usage scenarios
• Preparation of scientific presentations and publications within the scope of the own professional field of activity
• Master’s degree in data science, informatics, neuroscience, or comparable qualification
• Previous experience in Python programming, machine learning (scikit-learn, PyTorch / TensorFlow), ontologies (OWL / RDF), and / or computational cognitive modelling
• Interest in interdisciplinary research at the interface of computer science–cognitive science–medicine
• Solid knowledge of the German and English language (B2 or higher), both written and spoken
• Good organizational, teamwork and communication skills
• Distinct independent, structured and goal-oriented working style