Connectionists: Open PhD and Postoc positions in Berlin: Learning in spiking neural networks

[Gütig, Robert]

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 
2016).

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.