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@ini.uzh.ch