About us

We are the Computational Systems Neuroscience Group (CSNG) based at the Faculty of Mathematics and Physics of Charles University, Prague.

The main goal of our group is to identify computations implemented in the neural system that underlie our sensory perception, as well as applying this knowledge to the design of stimulation protocols for visual prosthetic systems. To that end, we build models of visual systems at various levels of abstraction using a variety of computational techniques including, but not limited to, machine learning and large-scale biologically plausible spiking neural network simulations.

To help us with this endeavor, we also develop Mozaik, an open-source framework for rapid prototyping of large-scale neural simulations of sensory systems and automation of the virtual experimental workflow.

📢 🧠 We are seeking a highly motivated 𝗽𝗼𝘀𝘁-𝗱𝗼𝗰 to join our team to work on 𝗯𝗶𝗼-𝗶𝗻𝘀𝗽𝗶𝗿𝗲𝗱 𝗿𝗲𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗻𝗲𝘂𝗿𝗮𝗹 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀. Funded by the JUNIOR Post-Doc Fund, this position offers an exciting opportunity to conduct cutting-edge research at the intersection of systems neuroscience, computational modeling and AI. The position is fully funded for 2 years, and comes with a salary equivalent to ~2400 EUR/month. We offer a dynamic international working environment and collaborations with world-leading experimental labs (Stanford, University of Pennsylvania, Institute de la Vision Paris etc.).