Area of research: Scientific / postdoctoral posts
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.
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. 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. Developing and implementing novel disease progression models, including latent multimodal dynamics and state-space approaches.
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.
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.
Fluency in written and spoken English
This research center is part of the Helmholtz Association of German Research Centers. Within each of these fields, research programs are developed by our scientists and regularly evaluated by renowned international experts. They form the basis for scientific advances in tackling global societal challenges. Helmholtz scientists, a high-performance infrastructure and modern and efficient research management are the ingredients to the Helmholtz Association‘s success and global impact.
Its qualification schemes for young researchers are geared mainly towards PhD students, postdocs and young managers. Its strategy begins with targeted recruitment of highly qualified staff at all levels, followed by comprehensive support aimed at further developing their potential. The Helmholtz Graduate Schools and Research Schools at almost all Helmholtz Centers provide doctoral students with the general and specific skills and training they need, as well as ample opportunity to network. For this reason, we established Career Development Centers for postdoctoral researchers in the Helmholtz Centers. To this end, there are currently two funding programs supporting this policy: and Helmholtz Distinguished Professorship – Funding for the recruitment of leading international female scientists (W3).
The increasing complexity of the content, structures and framework conditions of scientific work today requires researchers to organize their projects, their employees and, of course, themselves in a highly professional and effective way.