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ONE POSITION REMAINING - ONLY PROJECT 5 IS OPEN! Fully funded PhD position in Computational Neuroscience IndiBrain ( Characterizing Individual Differences in Brain Plasticity and Dynamics to help ensure Effective and Sustainable Health Care and Rehabilitation ), https://indibrain.eu/ is a new European Marie-Curie doctoral training network. Fifteen doctoral candidates will explore how individual differences shape brain plasticity and behaviour. IndiBrain brings together universities and industry partners across Europe to train the next generation of leaders in computational neuroscience. Through cutting-edge neuroimaging, computational modelling, and neurotechnology, our network will drive breakthroughs in understanding the human brain and pave the way for personalized diagnosis, treatment, and rehabilitation in neurological and ocular disorders. The PhD projects are hosted in labs across Europe. an overview of the participating researchers, their research interests and the PhD project topics can be found at https://indibrain.eu/recruitment/ OPEN POSITION: Project 5: Modeling Individual Brain Differences using Deep Learning & Vision Neuroscience: This project sits at the intersection of AI, deep learning, computational neuroscience, and vision science. You'll develop biologically realistic neural networks to understand how individual differences in the brain shape perception, neuroplasticity, and recovery from neurological and visual disorders. We're looking for candidates with a strong background in machine learning, deep learning, programming, and computational methods, combined with an interest in vision science and neuroscience. Institutional Location Tilburg University, Tilburg, the Netherlands Why This Project Matters Every human brain is entirely unique. Our neural circuits continuously adapt to life's challenges—a phenomenon known as neuroplasticity. While traditional neuroscience often dismissed these individual variations as "noise," we see them as the blueprint for the future of personalized medicine and rehabilitation. The visual brain's immense complexity makes interpreting neuroimaging data incredibly challenging; signals are frequently obscured by noise and systemic ripple effects. This project bridges that gap. By building biologically realistic artificial neural networks , you will simulate how individual differences and localized lesions affect the visual system, directly linking complex neuroimaging data to underlying biological variables. What You Will Do As a doctoral researcher, you will bridge the gap between AI and biological vision by developing a cutting-edge simulation framework. Your core responsibilities will include: Designing & Training biologically realistic artificial neural networks. Simulating & Probing the effects of individual network parameters and artificial lesions using population receptive field (pRF) and connective field (CF) modeling. Collaborating with an international network of researchers to apply your models to real-world data from healthy individuals and patients with ocular or neurological damage. Gaining Global Experience through fully-funded cross-sector secondments at Adastra (Germany) and the University of Pisa (Italy) . Your Environment & Tech Stack Most of your research will be conducted at Tilburg University (Department of Intelligent Systems and the Research Center for Cognitive Science and Artificial Intelligence) under the supervision of Dr. Koen Haak and Dr. Görkem Saygili, alongside international supervision from Prof. Paola Binda (Pisa). You will have full access to: A research-dedicated, high-performance GPU cluster optimized for training massive deep neural networks. A vibrant, interdisciplinary community combining AI, cognitive science, and neuroimaging. What’s in It for You? This position is funded by the European Uni