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

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

4068/2026/1

• Magdeburg
• 2 years, extension possible
• full‑time

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Your role in cutting edge research

The DZNE is a world‑leading, internationally oriented research center dedicated to the discovery of new approaches for the prevention and treatment of neurodegenerative diseases.

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.

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.

Your profile in cutting edge research

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.

Health promotion

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. We particularly welcome applications from people with disabilities.

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

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