Postdoc In Neuroimaging Neurodiversity And Brain Evolution

Laplace Apply; Amsterdam; Hybrid; EUR 41,000 - 64,000; Full time

Job summary

Vrije Universiteit Amsterdam's Connectome Lab invites applications for a Postdoc in Neuroimaging Neurodiversity and Brain Evolution. The position focuses on analyzing structural MRI, diffusion MRI and resting-state fMRI, and on developing cortical reconstruction, tractography and functional-connectivity pipelines.

The successful candidate will perform comparative connectomics on large datasets, apply machine learning and data mining, and contribute to open workflows, publications and supervision

Qualifications

• PhD in neuroscience, neuroimaging, computational or quantitative discipline.
• Experience with structural MRI, diffusion MRI and resting-state MRI analysis.
• Proficiency in Python, MATLAB, R, Bash and large-dataset quality control.

Responsibilities

• Analyse structural MRI, diffusion MRI and resting-state fMRI.
• Develop cortical reconstruction, tractography and functional-connectivity pipelines.
• Perform comparative connectomics using large datasets.
• Include machine learning, LLM-assisted data mining, open workflows, publications and supervision.

Skills

Structural MRI

Diffusion MRI

Resting-state fMRI

FreeSurfer

FSL

Python

MATLAB

Machine learning

Connectome analysis

Education

PhD in neuroscience, neuroimaging, computational or quantitative discipline

Tools

FreeSurfer

FSL

Python

MATLAB

Job description

Postdoc In Neuroimaging Neurodiversity And Brain Evolution

Netherlands

15 December 2026 (date-only displayed on listing; exact cutoff time not verified in the current pass)

About This Opportunity

Vrije Universiteit Amsterdam offers Postdoc In Neuroimaging Neurodiversity And Brain Evolution. The Connectome Lab at Vrije Universiteit Amsterdam compares individual differences in brain anatomy and connectivity with patterns of brain evolution across species. The postdoc will analyse structural MRI, diffusion MRI and resting-state fMRI; develop cortical reconstruction, tractography and functional-connectivity pipelines; and perform comparative connectomics using large datasets. Work includes machine learning and LLM-assisted data mining, open workflows, publications and student supervision. Practical and application conditions: Published remuneration: EUR 3,706–5,760 gross per month; Stated application date: 15 December 2026 (cutoff time not independently validated).

Who This Opportunity Is Best Suited For: Based on the documented project scope, it may particularly suit researchers holding a PhD in neuroscience, neuroimaging, computational neuroscience, biomedical engineering, physics, mathematics, AI or another quantitative field, with substantial hands-on MRI analysis and scientific programming.

Potential Challenges / Who May Find It Less Suitable: Substantial neuroimaging pipeline experience is essential. FreeSurfer, FSL, structural and functional connectivity analysis, Python/MATLAB/R/Bash and large-dataset quality control are important preparation.

Overall Opportunity Assessment: The distinguishing feature is the specific combination of research questions and methods described above; applicants should weigh this focus against the documented prerequisites and working conditions.

Level Postdoc

Reference Code 365036

Field Neuroimaging Neurodiversity And Brain Evolution

Funding & Compensation

Amount EUR 3,706-5,760 / Per Month

Funding Type Salary

Funding Status Paid

Period Per Month

Requirements

Education

PhD in a relevant neuroscience, neuroimaging, computational or quantitative discipline.

Experience

• Technical Skills
• Structural MRI
• Diffusion MRI
• Resting-state fMRI
• FreeSurfer
• FSL
• Connectome analysis
• Python
• Machine learning