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Charles University

Postdoctoral Position in Computational Neuroscience: Modeling and Neuro-Prosthetics in Prague Charles University in Czech Republic

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 30, 2026

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Country

Czech Republic

University

Charles University

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Keywords

Computer Science
Deep Learning
Mathematics
Neuropsychology
Neuroprosthetics
Visual Neuroscience
Electrical Stimulation
Physics
cognitive neuroscience
Machine learning

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About this position

Charles University’s Faculty of Mathematics and Physics in Prague is offering a postdoctoral position in computational neuroscience with a focus on modeling and neuro-prosthetics. The role is based in the Computational Systems Neuroscience Group (CSNG), an international and interdisciplinary team working on the visual system, sensory coding, and restoration of visual perception through neuro-prosthetic solutions.

The project environment combines large-scale biologically detailed spiking network models, firing-rate models, and modern machine learning techniques. The group brings together computer scientists, physicists, mathematicians, and engineers, making this a strong fit for researchers interested in computational approaches to brain function and neural interfaces.

Several project directions are available, and the exact topic can be adjusted to the applicant’s background and interests. These include modeling electrical stimulation in a spiking model of the primary visual cortex, studying deep neural networks in visual neuroscience, analyzing cortical dynamics of spontaneous or evoked activity, and building biologically detailed large-scale models of the early visual pathway from retina to V4.

The position is fully funded at least until the end of 2028, with a reported gross monthly salary of about €2900. The post is a temporary contract, initially for one year with the possibility of extension. Teaching duties are not required.

Applicants should hold a PhD or equivalent and have strong computational and analytical skills. Experience with computational modeling, spiking neural networks, machine learning, or electric field propagation in biological media is welcome, though not strictly mandatory. Excellent English is required.

To apply, send a CV and cover letter describing your interest and how your skills fit the project to [email protected]. The application deadline is 30 September 2026 at 21:00 (Europe/Prague). Further details are available on the CSNG website.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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