The Royal Netherlands Academy of Arts and Sciences (KNAW) is offering a temporary PhD student position in Neurobiology/Neuroinformatics in Amsterdam, Netherlands. The project focuses on measuring human mesoscale cerebellar morphology in postmortem brain tissue using Ultra-High Field MRI, providing ground truth for in-vivo experiments. The role is part of an NWO-funded Vici project within a collaborative research environment at the Netherlands Institute for Neuroscience and the Spinoza Centre for Neuroimaging. The position is full-time (38 h/week) with a salary ranging from €3204 to €4051 gross per month, plus benefits. Applicants should have an MSc in biomedical engineering, physics, biology, or a related field, strong technical skills, programming experience (Python, MATLAB), and English proficiency. The application deadline is October 26, 2026.
| Department | Ultra-High Field Neuroimaging group of the Netherlands Institute for Neuroscience and the Spinoza Centre for Neuroimaging |
| Position Type | PhD student |
| Discipline | Neurosciences |
| Research Area | Neurobiology, Neuroinformatics, Cerebellar Morphology |
| Degree Required | MSc in biomedical engineering, physics, biology or a related field |
| Salary | minimum salary is € 3204,- and the maximum salary is € 4051,- gross per month |
| Funding | NWO-funded Vici project |
| Contract Duration | Temporary |
| Language | English |
| Deadline | 2026-10-26 |
| Required Documents | motivation letter, curriculum vitae |
| Employer Contact | Dr. Wietske van der Zwaag ([email protected]) |
This PhD project aims to measure human mesoscale cerebellar morphology in postmortem brain tissue. This will provide a ground truth for independent in-vivo experiments, leveraging Ultra-High Field MRI. The human cerebellum's intricately folded cortex requires detailed imaging beyond current in-vivo capabilities. The project is part of an NWO-funded Vici project and involves a range of neuroscience techniques including data analysis, tissue staining, and postmortem MRI.
This position is suitable for a First Stage Researcher (R1) with a vivid interest in neuroscience and strong technical skills. Candidates should hold or be about to receive an MSc in biomedical engineering, physics, biology, or a related field, and demonstrate an interest in the human brain. Proficiency in programming (Python, MATLAB) and English is required. Experience or interest in microscopy, quantitative image analysis, neuroanatomy, or MRI is a plus.
The Royal Netherlands Academy of Arts and Sciences (KNAW) is an organization that offers a highly collaborative research environment. This specific position is within the Ultra-High Field Neuroimaging group of the Netherlands Institute for Neuroscience and the Spinoza Centre for Neuroimaging. This environment combines state-of-the-art neuroscience expertise and facilities, including 7T MRI and the Netherlands Brain Bank. It fosters a diverse, interdisciplinary community of cognitive and clinical neuroscientists and neuroimaging experts.
The PhD project focuses on measuring human mesoscale cerebellar morphology in postmortem brain tissue to provide a ground truth for independent in-vivo experiments, utilizing Ultra-High Field MRI.
Applicants must have, or be about to receive, an MSc in biomedical engineering, physics, biology, or a related field, along with programming experience (Python, MATLAB) and proficiency in spoken and written English.
The minimum salary is € 3204,- and the maximum salary is € 4051,- gross per month for a full-time appointment, exclusive of vacation allowance, year-end bonus, and other benefits.
Benefits include 8% vacation allowance, 8.3% year-end bonus, travel allowance, internet allowance, home working allowance, pension accrual with ABP, and opportunities for professional development and increased days off.
For more information, you can contact Dr. Wietske van der Zwaag at [email protected].
Applicants need to submit a motivation letter and a curriculum vitae.
This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.
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