PhD candidate in neurobiology
Faculty of Science – Swammerdam Institute for Life Sciences
The Swammerdam Institute for Life Sciences (SILS) is one of the largest institutes of the Faculty of Science. Its approximately 230 scientists and staff members work in 16 research groups that perform excellent research centered on four themes: 1) Cell & Systems Biology, 2) Neurosciences, 3) Microbiology and 4) Green Life Sciences.
The Cognitive & Systems Neuroscience group is seeking a highly qualified and motivated candidate for a PhD position in Computational Neuroscience, partly supported by funds from the Human Brain Project. The project will focus on the investigation of neural substrates underlying conscious perception and multisensory predictive coding, using theoretical and computational approaches to model neural dynamics and behavior.
The main objective of the project is to investigate the neural mechanisms of multisensory perception and sensory predictions, within the context of testing a theoretical framework for understanding the neural basis of perception and consciousness. These neural mechanisms will be investigated using computational approaches based on both biophysically detailed models of corticothalamic circuits and neural network models trained by deep learning strategies. The project will benefit from collaborations with local experimental teams and with other European research groups.
You should have a Master's degree in neuroscience (with strongly developed quantitative skills) or in a related field, including physics, mathematics, computer science, or biomedical engineering. You are expected to have a solid mathematical background (calculus, differential equations, dynamical systems) and strong programming skills (MATLAB, Python). Knowledge in methods of computational neuroscience and deep learning will be important assets for this position.
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