Computational Neuroscience

We are looking for a researcher inArtificial Intelligence who will develop a highly visible line of research on spiking neural networks that simulate the human brain at a very low level of abstraction, while taking into consideration the functional requirements of cognitive systems. One requirement is that the developed networks function in real time, for which an implementation at the material level is required, for instance by using neuromorphic chips. The final aim is to construct an overall architecture of cognition by linking the spiking neural networks to other levels of abstraction. The position is embedded in the Cognitive Modelling group of the Bernoulli Institute with strong collaborations with materials science, cognitive neuroscience and computer science.

For more information about the position click here and to apply click here.