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

9087/2026/1

  • Rostock
  • 3 years
  • 05.03.2026
  • full-time


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Your role in cutting edge research

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.

Your role in detail

  • 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

Your profile in cutting edge research

  • 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

Your benefits

  • Innovation and internationality:

    A forward-looking infrastructure, modern laboratory and office equipment, software tools and the opportunity for international exchange with your colleagues from 65 nations

  • Personalised Onboarding:

    For a good start to your new professional challenge

  • Focus on Development:

    Training programmes tailored to your individual needs and annual HR-development meetings for concrete prospects and potential development

  • Health promotion:

    Through our extensive range of company health programmes, in cooperation with Sozialwerk.Bund

  • Family-conscious corporate culture:

    Because we know that familie is important, we support you with our family service

  • Work-life balance:

    We reconcile work and private life with flexible working hours, 30 days' holiday (On top free on Christmas Eve and New Year's Eve) and subsidised job/ Germany ticket options

  • Remuneration and conditions according to TVöD-Bund:

    Including annual special payment, capital-forming benefits and VBL supplementary pension scheme



Your application

Excellence in research thrives on diverse perspectives and experiences. We stand for a respectful and open culture. We promote equal opportunities, remove barriers, and welcome applications from people across all dimensions of diversity. Applicants with disabilities will be given priority in the case of equal suitability.


For more information and questions about this position, please contact Dr. Martin Dyrba at martin.dyrba@dzne.de, tel. +49-381-494-9482.

If you have questions on the recruiting process, our Recruiting Team waits for you call:

Christina Graf

Team HR Recruiting
+49 228 43302 134