We have an open position funded by the "Agence Nationale de la Recherche" (ANR) for a Post-Doc at the interface of engineering and neuroscience at the Neuroscience Paris Saclay Institute (CNRS, Université Paris Saclay). The goal of the position is to study the principles of vocal learning and communication in songbirds. We combine diverse experimental and theoretical approaches to gain new insights into higher cognitive functions associated with complex vocal behaviors such as song learning. We are interested in decoding neural activity associated with song production and song learning in songbirds. In collaboration with the Institute of Neuroinformatics of the ETH Zurich and the University of Zurich, we have recently developed a system for simultaneously recording from many neurons in freely behaving animals. Our lightweight 384-channels recording device incorporates the Neuropixel probes. The project is to put this technology to use to study the mysteries of neural population codes and to advance our understanding of how individual neurons contribute to forming a representation of motor plans and of sensory feedback. The position is funded for two years with a gross salary (salaire brut) of ~53 000¤/year.
Your Profile: You have a PhD in neuroscience or engineering. You are strongly interested in neuroscience. You have expertise in signal processing and machine learning. You like to collaborate with biologists and engineers in a nurturing environment. You can work independently and want to be part of a team that fosters flexibility and innovation. If you want to apply for this position, feel inspired to send your application material to Dr Nicolas Giret (nicolas.giret@universite-paris-saclay.fr).
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