Postdoctoral Fellow (f/m/x) in Modeling & AI in Neuro-Cognitive Aging

4068/2026/1

  • Magdeburg
  • 2 years, extension possible
  • 28.02.2026
  • Vollzeit


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Ihre Rolle in der Spitzenforschung

Das Deutsche Zentrum für Neurodegenerative Erkrankungen (DZNE) ist ein weltweit führendes, international ausgerichtetes Zentrum der Spitzenforschung zu Erkrankungen des Nervensystems.

DZNE is a world-leading, internationally oriented center for cutting edge research on neurodegenerative diseases. The Modeling and Neuroprognosis Group at the DZNE invites applications for a Postdoctoral Fellow position at the intersection of modeling, artificial intelligence, cognitive neuroscience, and medicine.

This role is designed as a career accelerator for researchers who aim to combine academic excellence with skills that are highly relevant both in leading academic environments and in the growing AI–Health–Tech sector. You will work with state-of-the-art infrastructure, including 7T MRI, connectomics, and high-performance computing, while being embedded in a strong international research network with close collaborations with institutions such as UCL, Oxford, and Max Planck Institutes. Close mentorship and structured career support, including guidance on independent funding applications (e.g. ERC, DFG, BMBF), are provided. Researchers have access to large-scale, high-quality datasets, the DZNE’s ten-site network, and the CRC 1436, within an active international research environment. Dedicated funding supports participation in international conferences.

Ihre Rolle im Detail

In this position, you will contribute to advancing how individual differences in neuro-cognitive aging and dementia are modeled and understood. Your tasks include:

  • Developing and implementing novel disease progression models, including latent multimodal dynamics and state-space approaches.
  • Applying uncertainty-aware regression methods, using parametric and non-parametric techniques, to characterize disease trajectories and deviations from healthy aging.
  • Integrating Deep Learning approaches with Bayesian inference and latent variable models.
  • Analyzing high-dimensional, multimodal data such as MRI, FLAIR, cognitive assessments, and fluid biomarkers.
  • Contributing to high-impact scientific publications and presenting findings at international conferences.
  • Collaborating closely within an interdisciplinary team across neuroscience, psychology, medicine, and data science.
  • Mentoring junior researchers and supporting a constructive, collegial team culture.

Ihr Profil für die Spitzenforschung

We welcome applications from researchers with diverse academic backgrounds and career paths.

  • A completed PhD in Machine Learning, Computational Neuroscience, Quantitative Psychology, Physics, Applied Mathematics, or a closely related field, or equivalent research experience.
  • A strong foundation in multivariate statistics and modeling, for example in regression, Bayesian inference, representation learning, or generative models.
  • Experience with Python and common machine learning or statistical frameworks such as PyTorch, TensorFlow, Stan, scikit-learn, or comparable tools.
  • An interest in interdisciplinary research and openness to working across disciplinary boundaries, including psychology and medicine.
  • Fluency in written and spoken English
  • Motivation to further develop an independent research profile, either with a long-term perspective in academia or in applied research and industry.

    Ihre Vorteile

    • Innovation und Internationalität:

      Durch zukunftsweisende Infrastruktur, moderne Labor- und Büroausstattung, Softwaretools und die Chance zum internationalen Austausch mit Menschen aus 65 Nationen

    • Individuelle Einarbeitung:

      Für einen guten Einstieg in Ihre neue berufliche Herausforderung

    • Gesundheitsförderung:

      Unser umfangreiches Angebot an betrieblichen Gesundheitsmaßnahmen, in Zusammenarbeit mit dem Sozialwerk.Bund

    • Entwicklung im Fokus:

      Individuell auf Sie abgestimmte Fortbildungsangebote und jährliche Personalentwicklungsgespräche für konkrete Perspektiven und Potenzialentfaltung

    • Familienbewusste Unternehmenskultur:

      Weil wir wissen, dass Familie wichtig ist, unterstützen wir mit unserem Familienservice

    • Work Life Balance:

      Wir bringen Beruf und Privatleben in Einklang mit flexiblen Arbeitszeiten, 30 Tagen Urlaub (zusätzlich frei an Heiligabend und Silvester) sowie bezuschussten Job-/Deutschlandticketoptionen

    • Vergütung und Konditionen nach TVöD-Bund:

      Inklusive Jahressonderzahlung, Vermögenswirksame Leistungen und VBL Zusatzversorgung


    Ihre Bewerbung

    Spitzenforschung lebt von unterschiedlichen Perspektiven und Erfahrungen. Wir stehen für eine respektvolle und offene Kultur. Wir fördern Chancengerechtigkeit, bauen Barrieren ab und begrüßen Bewerbungen von Menschen aus allen Diversitätsdimensionen. Bewerbungen von Menschen mit Behinderung werden bei gleicher Eignung bevorzugt.

    Please submit your application as a single PDF inlcuding

    • A cover letter describing your motivation and how this position aligns with your career goals.
    • A curriculum vitae, including a list of publications where applicable.
    • Two academic references
    • Copies of relevant academic transcripts or certificates.

    In case of questions regarding the position, please contact gabriel.ziegler@dzne.de

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

      Christina Graf

      Team HR Recruiting
      +49 228 43302 134