Applications are invited for two PhD student positions at the Institute of Neuroinformatics (ETHZ, UZH) in Zurich. The positions are funded by the Swiss National Science Foundation grant entitled "Inference and Learning with Spiking Neurons". The PhD students will be supervised by Jean-Pascal Pfister in the Theoretical Neuroscience Group.
There are several lines of evidence showing that the brain combines unreliable sensory informations in a Bayesian optimal way. The aim of the project is to determine how Bayesian inference and learning can be implemented at the level of neurons and synapses.
The Institute of Neuroinformatics in Zurich (which is a joint institute belonging to both the Swiss Federal Institute of Technology (ETHZ) and the University of Zurich) offers an ideal environment for studying Computational Neuroscience due to the presence of multiple theoretical and experimental labs.
Candidates should hold a Diplom/Master degree in Physics, Mathematics, Machine learning, Computational Neuroscience or a related field. They should have a strong analytical background and demonstrate interest in theoretical neuroscience. Preference will be given to candidates with good programming skills.
The position is offered for a period of three years, starting on the 1st of September 2014 at earliest. Salary scale is provided by the Swiss National Science Foundation (www.snf.ch).
Applicants should submit (by email) a CV, a statement of research interests, 2 reference letters, marks obtained for the Diploma/Master, abstract of the Diploma/Master to Jean-Pascal Pfister (email@example.com). Deadline for application is 30th of Mai 2014 or until the positions are filled.