Fully funded Postdoc position (Experienced Researcher) in Computational Neuroscience
New approaches for the analysis of neuronal spike trains
within the Marie Curie Initial Training Network - 'Neural Engineering Transformative Technologies' (NETT) at the Institute for Complex Systems (ISC), CNR, Florence, Italy.
Gross Salary per year: 64,701 € (Living Allowance) plus 9,290 - 13,272 € (Mobility Allowance) depending on the family situation
Required title: PhD in Physics, Engineering, Applied Mathematics, or Computational Neuroscience
Applications: There will be some specific application procedure which we will announce as soon as possible.
Closing date for the position: May 15, 2014
Applications are invited for the above post to work with Dr. Thomas Kreuz [http://www.fi.isc.cnr.it/users/thomas.kreuz/] and Dr. Alessandro Torcini [http://www.fi.isc.cnr.it/users/alessandro.torcini/] in the Computational Neuroscience group [http://neuro.fi.isc.cnr.it/] at ISC, Florence. This world leading group combines theoretical investigations (e.g., on non-trivial collective phenomena in neuronal populations) with practical applications (such as spike train analysis). The group is one of the main participants in the Center for the Study of Complex Dynamics (CSDC) created with the purpose of coordinating interdisciplinary training and research activities. CSDC researchers include physicists, control engineers, mathematicians, biologists and psychologists.
This full-time post will begin on the 1st of September 2014 (at the latest, no possibility of further delay) and will be offered on a fixed-term contract for a period of 24 months. The activity will include a six-month stay with NETT partner Prof. Bert Kappen [http://www.snn.ru.nl/~bertk/] at the Radboud University Nijmegen, Netherlands.
The Florence part of the project will mainly consist of two parts: Development of new approaches for (multivariate) data analysis and analysis of electrophysiological data (in particular neuronal spike trains). During the six-month stay in the Netherlands the project will be devoted to the applicability of methods derived from latent state models, sequential Monte Carlo sampling, and path integral control to analyze neural time-series data, such as spike trains.
The candidate should have a strong background in at least one of the following fields: computational neuroscience, data analysis, and nonlinear dynamics as well as solid experience in scientific programming (e.g. in Matlab, C, Python, Fortran).
Candidates must be in the first 5 years of their research careers (starting from the date of the MSc title) and already be in possession of a doctoral degree in physics, engineering, applied mathematics, or computational neuroscience. As part of our commitment to promoting diversity we encourage applications from women. To comply with the Marie Curie Actions rule for mobility applicants must not have resided, worked or studied in Italy for more than 12 months in the 3 years prior to May 2014.
At a later stage a formal application will be required. Guidelines will be given as soon as possible on this webpage [http://neuro.fi.isc.cnr.it/index.php?page=marie-curie-itn-postdoc].
Institute for complex systems, CNR
Via Madonna del Piano 10
50119 Sesto Fiorentino (Italy)