Postdoctoral Fellow in Modeling and AI in Neuro-Cognitive Aging

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

Code: 4068/2026/1

2 years, extension possible, full time

Site: Magdeburg

Your role in 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

Your profile in cutting edge research

We welcome applications from researchers with diverse academic backgrounds and career paths. Your profile should include:

• 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

Your Benefits

Below are the benefits you can expect:

• Innovation and internationality: a forward‑looking infrastructure, modern laboratory and office equipment, software tools, and the opportunity for international exchange with colleagues from 65 nations
• Personalized onboarding for a good start to your new professional challenge
• Health promotion through our extensive range of company health programs, in cooperation with Sozialwerk.Bund
• Focus on development: training programs tailored to your individual needs and annual HR development meetings for concrete prospects and potential development
• Family‑conscious corporate culture: 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 of free days 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.

Please submit your application as a single PDF file including:

• 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 your call:

• Christina Graf, Team HR Recruiting, +49 228 43302‑134

Please submit your application online via