[Comp-neuro] Postdoc position in systems/computational neuroscience (retina)

Philipp Berens philipp.berens at uni-tuebingen.de
Fri Nov 17 11:33:28 CET 2017

Dear all,

Thomas Euler and I have a postdoc position available.

Applications are sought for a Postdoc position for a collaborative 
project in the groups of Thomas Euler and Philipp Berens at the 
Institute for Ophthalmic Research , the CIN, and the Bernstein Centre 
for Computational Neuroscience (BCCN) of the University of Tübingen. The 
project is part of the DFG Priority Programme „Computational 
Connectomics” (SPP 2041).

The goal of the project is to combine functional imaging of excitatory 
and inhibitory signals with computational modeling based on connectomics 
data from electron microscopy to study the role of amacrine cell 
circuits in the retina.

The candidate for the position ...

     must have a PhD in a relevant discipline (e.g. neuroscience)
     must have experimental skills ideally in functional 2P imaging, 
alternatively in electrophysiology
     has a strong background in neuroscience at the circuit or systems 
level, ideally in the visual system
     is proficient in modern programming languages (i.e. Python)
     is experienced in data analysis.

The ideal candidate is self-motivated, independent, and able to learn 
quickly, is proficient in English verbal and written communication and 
has strong problem-solving skills.
What we offer

The positions is available immediately, with funding for 3 years and 
possible extension depending on further funding. The postdoc will work 
embedded in an highly collaborative, interdisciplinary environment, 
providing ample possibilities for career development.

Applications should include a CV, a statement of research motivation and 
experience, and the names of at least two referees. Please compile your 
application in one single PDF-file and email it to positions at eulerlab.org.

Further details:

PD Dr. Philipp Berens (Group Leader)
University of Tübingen
Institute for Ophthalmic Research

phone: +49-7071-2988833

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