2 PhD fellowships in Computational Neuroscience

Venerdì 06 Luglio 2012 14:41

The applications should be prepared and send as detailed here: http://neuro.fi.isc.cnr.it/index.php?page=how-to-apply
Applications are invited for the above posts to work with Dr Alessandro Torcini and Dr Thomas Kreuz in the Computational neuroscience group at ISC.
Closing date for both positions: September 1, 2012

Both full-time posts are available from January 1, 2013 and will be offered on a fixed-term contract for a period of 36 months.
The two successful candidates will register for a 3 year PhD degree at the University of Florence in Information Technology, Systems and Telecomunication (Course on Nonlinear Dynamics and Complex Systems). Candidates must be in the first 4 years of their research careers and not been awarded a doctorate degree. Preference will be given to candidates with experience in mathematical and computational neuroscience. Applications from women are encouraged.
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 Sept 2012.
The fellowships will include international internships so the candidates must be able to move between countries as necessary.
Gross Salary per annum: 42,028 € (Living Allowance) plus 9,290- 13,272 € (Mobility Allowance) depending on circumstances.

Emergence of collective dynamics in scale-free neuronal networks

The successful candidate will work within the framework of nonlinear dynamics and computational neuroscience. His/her main task will be the study of the macroscopic and microscopic evolution of neural networks with various topologies. In particular, he/she should analyse the robustness of collective solutions in presence of an external feedback. One of the main task will be the development of efficient numerical codes to simulate the networks' dynamics and to develop tools to analyse their macroscopic properties. This fellowship includes a three-month secondment working with either Prof Stephen Coombes at the School of Mathematical Sciences in Nottingham (UK), or Prof Jordi Garcia-Ojalvo in the Department of Physiscs and Nuclear Engineering, Universitat Politecnica de Catalunya (Spain). It also includes a three-month internship with the project industrial partner, bioPmed in Piemonte near Turin (Italy).
The candidates should have a strong background in at least one of the following fields: nonlinear dynamics, statistical physics or computational neuroscience as well as solid experience in scientific programming (with languages Fortran and/or C).
Informal enquiries should be addressed to Dr Alessandro Torcini, Questo indirizzo e-mail è protetto dallo spam bot. Abilita Javascript per vederlo.

Spike train analysis from neuronal networks

The successful candidate will work within the framework of computational neuroscience and signal processing. His/her main task will be the analysis of electrophysiological data, in particular recordings of single- and multi-unit spike trains as well as local field potentials and EEG all of which will be provided by the international partner institutions. One of the principal objectives will be the improvement of methods to estimate spike train synchrony and in particular the development and extension of a Matlab toolbox for spike train analysis. Furthermore, the candidate will help to adapt other nonlinear time series analysis tools to the specific needs of the collaborating nodes in the Netherlands, France, Portugal, Spain, and the UK.
This fellowship includes a three-month secondment to either Dr Simon Schultz in the Department of Bioengineering at Imperial College London (UK) or Prof. Bert Kappen at the Radboud University Nijmegen (Netherlands). It also includes a three-month internship in the third year with the project industrial partner, bioPmed in Piemonte near Turin (Italy).
The candidate should have a strong background in computational neuroscience and data analysis as well as solid experience in programming (Matlab).
Informal enquiries should be addressed to Dr Thomas Kreuz, Questo indirizzo e-mail è protetto dallo spam bot. Abilita Javascript per vederlo.

Link: http://neuro.fi.isc.cnr.it/index.php?page=Open-Positions