Connectionists: Postdoc/PhD position in Computational Neuroscience at the Institute of Neuroinformatics (UZH and ETH Zürich) in the Wilmes lab

[katha]

Postdoc/PhD position in Computational Neuroscience in the Theory of 
Neural Circuits group at the Institute of Neuroinformatics under the 
supervision of Katharina Wilmes:

We are looking for highly motivated Postdocs or PhD students, interested 
in computational neuroscience, specifically addressing questions 
concerning neural circuits underlying perception and learning. The 
perfect candidate has a strong background in math, physics or computer 
science (or equivalent), programming skills (python), and a strong 
interest in biological and neural systems. A background in computational 
neuroscience is ideal, but not mandatory.

Research topic:
Our brain maintains an internal model of the world, based on which it 
can make predictions about sensory information. These predictions are 
useful for perception and learning in the uncertain and changing 
environments in which we evolved. The link between high-level normative 
theories and cellular-level observations of prediction errors and 
representations under uncertainty is still missing. The lab uses 
computational and mathematical tools to model cortical circuits and 
neural networks on different scales.

The environment:
You'll become part of the Institute of Neuroinformatics (INI, UZH and 
ETH Zürich), a very collaborative and inspiring place, with many labs 
focusing on discovering the key principles underlying intelligent 
behaviour. Our lab closely collaborates with experimental colleagues 
both at the INI, and in Bonn (Germany) and London (UK). More information 
can be found at: https://www.ini.uzh.ch/en/research/groups/wilmes.html

How to apply:
Candidates should send a single pdf file, consisting of a 1-page 
motivation letter and a CV (including publication list) and contact 
information of 2 referees to katha at ini.uzh.ch