DZNE is a world-leading, internationally oriented center for cutting-edge research into diseases of the nervous system. With its outstanding research personalities and state-of-the-art infrastructure, it offers the best conditions for publications and results at the highest level.

Around 1,200 employees at 10 locations in Germany are working together on new approaches to better understand and effectively combat diseases such as Alzheimer's, Parkinson's and ALS.

That is our goal - maybe soon yours too? Become part of the DZNE and support us in realizing our research strategy!

Researcher (f/m/x) Data Science with focus on AI Explainability in Radiology and Dementia Research

Code: 1373/2024/12

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 the previous project “EXPLAINATION”, we developed a prototype artificial intelligence-based assistance tool to support the radiological examination of MRI scans and the diagnosis of dementia.

We plan to further extend this AI tool and develop deep learning models for the differential diagnosis of different types of dementia and other neurologic findings showing similar symptoms. More specifically, we will focus on computational modeling approaches to ensure the comprehensibility and explainability of the system.

Your role in detail

• Scientific work in the field of conceptual development for the automated synthesis of visual and textual explanations, implementation and evaluation of the overall system
• Ontology development, knowledge representation and automated extraction from MRI datasets as a basis for the diagnostic and explanatory system
• Model benchmarking and testing with respect to robustness and generalizability to multicenter data
• Preparation of scientific publications within the scope of the own professional field of activity
• Preparation of a research proposal to apply for external funding

Your qualifications

• Master's degree in data science, neuroscience, or comparable qualification
• Previous experience in machine learning, programming and/or computational cognitive modeling
• Interest in interdisciplinary research at the interface of computer science–cognitive science–medicine
• Solid knowledge of the German and English language, both written and spoken
• Good organizational, teamwork and communication skills
• Distinct independent, structured and goal-oriented working style

What our employees value

• 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
• 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
• Family-conscious corporate culture - because we know that familie is important, we support you with parent-child offices, family services and daycare co-operations
• Health promotion – through our extensive range of company health programmes, in cooperation with Sozialwerk.Bund
• Focus on development - training programmes tailored to your individual needs and annual HR-development meetings for concrete prospects and potential development
• Remuneration and conditions according to TVöD-Bund - including annual special payment, capital-forming benefits and VBL supplementary pension scheme
• Personalised Onboarding - for a good start to your new professional challenge
• The position is initially limited to december 2025 

Site

Application deadline

13.01.2025