[Comp-neuro] Open PhD and Postoc positions in Berlin: Learning in spiking neural networks
robert.guetig at charite.de
Thu Oct 25 22:01:58 CEST 2018
The newly formed research group "Mathematical modeling of neuronal
learning", headed by Robert Gütig is seeking highly motivated
researchers at the PhD and postdoctoral level to study information
processing and learning in spiking neural networks. The group is funded
by the Berlin Institute of Health and located at the Charité Medical
School in the center of Berlin. Our close proximity to the NeuroCure
Cluster of Excellence and the Bernstein Center for Computational
Neuroscience facilitates close interactions between our group and
Berlin’s vibrant and growing neuroscience community.
We use analytical and numerical modeling techniques to identify the
computational principles underlying spike based information processing
and learning in the central nervous system and to understand how these
principles are implemented by biological processes. Open projects center
around, but are not limited to, the recently developed tempotron family
of spiking neuronal network models (e.g. Gütig & Sompolinsky 2006; Gütig
The positions are available immediately. Applicants should have a strong
background in physics, mathematics, computer science, computational
neuroscience or a related field and a keen interest in neurobiology and
machine learning. Good programming skills (e.g. in C and/or Python) are
important and experience with numerical simulations highly beneficial.
Previous exposure to neuroscience is preferred but not required.
Applications will be considered until all positions are filled.
Please send your application or questions to Robert Gütig (robert.guetig
at charite.de). When applying please include a detailed CV (including
degrees, current academic transcripts, and publication record) and the
names and contact information of two referees.
More information about the Comp-neuro