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Martijn van den Heuvel

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Postdoc in Neuroimaging, Neurodiversity and Brain Evolution Vrije Universiteit Amsterdam in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Dec 15, 2026

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Country

Netherlands

University

Vrije Universiteit Amsterdam

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Keywords

Computer Science
Psychology
Biology
Neuroimaging
Artificial Intelligence
Connectomics
Neuropsychology
Medical Science
Neuroinformatics
Diffusion Mri
Neurocognition
Fmri
Statistics
Statistical Modelling
ML

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About this position

Vrije Universiteit Amsterdam is recruiting a Postdoc in Neuroimaging, Neurodiversity and Brain Evolution for the Connectome Lab at the Center for Neurogenomics and Cognitive Research (CNCR). This position sits at the intersection of neuroimaging, neuroscience, artificial intelligence, connectomics, and comparative brain evolution.

The project aims to understand how variation in brain anatomy and connectivity contributes to the diversity of the human brain, and how these features relate to principles of brain evolution. The successful candidate will work with large-scale human neuroimaging datasets as well as comparative datasets across species to study variation in brain structure, connectivity, and functional organization. A key goal is to identify which aspects of brain organization are highly conserved, which vary strongly between individuals, and which may have emerged or expanded in human evolution.

The research environment is highly interdisciplinary, bringing together researchers in neuroimaging, computational neuroscience, genetics, psychology, psychiatry, and artificial intelligence. The postdoc will be part of the computational neuroimaging lab led by Prof. Martijn van den Heuvel and will contribute to projects involving structural MRI, diffusion MRI, and resting-state fMRI.

Typical work includes analysing large neuroimaging datasets; developing and applying pipelines for cortical reconstruction, tractography, functional connectivity, and connectome analysis; investigating individual variation and neurodiversity in brain structure and connectivity; using ML and LLM approaches to mine and analyse large datasets; conducting comparative analyses of human and non-human brain organization; and integrating results across imaging modalities and datasets. The role also includes developing computational and statistical methods for brain network analysis, contributing to reproducible and open neuroimaging workflows, supervising MSc and PhD students, collaborating with internal and international teams, publishing papers, and presenting at scientific meetings.

Institution: Vrije Universiteit Amsterdam, Netherlands.

Position type: Postdoctoral researcher.

Deadline: 2026-12-15.

Application: Apply through the AcademicTransfer link provided in the posting.

Funding details

Available

What's required

A highly motivated postdoctoral researcher is sought. The post requires experience with complex neuroimaging data, large datasets, and computational methods, with demonstrated ability to work at the intersection of neuroimaging, neuroscience, AI, and brain evolution. Applicants should be able to analyse structural MRI, diffusion MRI, and resting-state fMRI data, develop pipelines for cortical reconstruction, tractography, functional connectivity and connectome analysis, and apply computational and statistical approaches to brain networks. Experience with ML/LLM methods, reproducible open workflows, and interdisciplinary collaboration is preferred; the post also involves supervising MSc and PhD students, publishing, presenting at conferences, and teaching where appropriate.

How to apply

Apply via the AcademicTransfer application link provided. Submit your application before 2026-12-15. Follow the employer’s instructions on the job posting page.

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Professors

Prof. at Vrije Universiteit Amsterdam

University Name
Country flag

Netherlands

Research Interests

Neuropsychology

Statistics

Computer Science

Biology

Neuroimaging