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Amsterdam UMC

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MSCA-DN PhD in zebrafish models for leukodystrophies Amsterdam UMC in Netherlands

Degree Level

PhD

Field of study

Biology

Funding

MSCA Doctoral Network-funded PhD with a salary of £48,780–£53,680, plus mobility allowance and benefits according to applicable rules. Initial 12-month contract with intention to extend to three years.

Deadline

Nov 26, 2026

Country flag

Country

Netherlands

University

Amsterdam UMC

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Keywords

Biology
Microscopy
Neuropsychology
Disease Modeling
Medical Science
Magnetic Resonance Imaging
Transmission Electron Microscopy

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About this position

This MSCA Doctoral Network PhD project sits within POLARIS, a European Marie Skłodowska-Curie network focused on accelerating therapy development for leukodystrophies and strengthening the path from disease modelling to preclinical and clinically relevant outcomes.

The project investigates zebrafish models of leukodystrophy, including RNASET2 deficiency, adrenoleukodystrophy, Krabbe disease and metachromatic leukodystrophy. The student will develop and standardise robust outcome measures that can be used across models and compared against relevant readouts in patients and mammalian systems.

Research activities combine behavioural assays with multimodal imaging to characterise disease phenotypes and improve how zebrafish are used in translational therapy development. The project includes work with MRI, high-resolution confocal microscopy and electron microscopy, as well as the development and refinement of imaging-analysis pipelines and quantitative approaches.

The selected candidate will be embedded in the POLARIS consortium and based academically in the Department of Biology at the University of York, within the York Biomedical Research Institute. The project is supervised by Dr Noémie Hamilton, who provides disease-specific expertise and supervision for the PhD.

As part of the network, the student will also undertake planned secondments, including hands-on experience with behavioural analysis technology at Zantiks and advanced preclinical imaging training at the University of Liverpool’s Centre for Preclinical Imaging. The programme is strongly international and interdisciplinary, with collaboration across disease models, experimental systems and translational research environments.

Funding details

MSCA Doctoral Network-funded PhD with a salary of £48,780–£53,680, plus mobility allowance and benefits according to applicable rules. Initial 12-month contract with intention to extend to three years.

What's required

Applicants must have a Master’s degree in life sciences or a related field and must not already hold a doctoral degree. Experience with microscopy and image-data analysis, ideally through research projects or internships involving in vivo zebrafish models, is expected. Experience with behavioural or neurological phenotyping, animal research, animal-welfare principles, robust experimental design, coding, GA3 Elements or other imaging software, machine learning, or quantitative image analysis is advantageous. Applicants should have a strong interest in translational neuroscience, rare disease research, preclinical model development, and aligning preclinical readouts with clinically meaningful endpoints. Good communication and collaboration skills, strong attention to detail, the ability to plan and organise complex experiments, and willingness to work in an international interdisciplinary research environment are required. Fluency in English, written and spoken, is essential. MSCA eligibility rules apply, including the mobility rule restricting residence or main activity in the UK for more than 12 months in the three years before the contract start date. Selected candidates must complete UK Home Office training and certification to work with animals.

How to apply

Apply via the AcademicTransfer application link. Include your application materials and mention up to two additional POLARIS projects of interest in your application letter if relevant. For substantive questions about the project, contact Dr Noémie Hamilton at [email protected].

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