Faculty of Science
Maximum Salary: € 2,612 gross/month
Vacancy number: 62.46.10
Closing date: 28 February 2011
Job description
One of the fundamental questions in neuroscience is how a neural network's structure shapes its dynamics and vice versa. We will address this question by studying the correlation patterns that emerge in complex neural networks of stochastic neurons.
Correlations in the spiking activity of neuronal systems have received substantial attention in experimental and theoretical neuroscience as they might contribute to coding in populations of neurons and as they may allow conclusions on the structure of the underlying neural network.
Over the past five years, it has become feasible in various biological systems to simultaneously record the spikes from many neurons and therewith study patterns of spike train correlations in intact and operating living neural networks.
This raises an urgent demand for theoretical studies on the interplay between network structure and spike correlations. The proposed study will employ recently developed stochastic spiking neuron models that allow an analytical approach to the subject.
The project will be supervised by Raoul-Martin Memmesheimer (Radboud Unversity, Nijmegen, Netherlands) and is a collaboration with Yoram Burak (Harvard University, Cambridge MA, USA) and Tatjana Tchumatchenko (Max-Planck Institute for Dynamics and Self-Organization, Göttingen, Germany).
Requirements
You have a strong theoretical background (theoretical physics, mathematics, or equivalent) with an interest in neural network theory.
Organization
The vacancy for the 4-year position is in the Neuroinformatics department of the Donders Institute for Brain, Cognition and Behaviour at Radboud University Nijmegen, Netherlands, one of the leading neuroscience institutes worldwide. The Neuroinformatics department aims at a theoretical understanding of the complex dynamics of neural systems at the level of microscopic precise spiking dynamics and at the level of mesoscopic collective dynamics to explain emergent large-scale phenomena such as control and learning of behaviour.
Website: www.ru.nl/neuroinformatics
Conditions of employment
Employment: 1,0 fte
Maximum salary per month, based on a fulltime employment: € 2,612 gross/month
The starting salary is €2,042 per month and will increase to €2,612 per month in the fourth year. PhD scale.
Duration of the contract: 4 years.
Additional conditions of employment
You will be appointed as a PhD student for four years. Your performance will be evaluated after 18 months. If the evaluation is positive, the contract will be extended by 2.5 years.
Additional Information
Raoul-Martin Memmesheimer, assistant professor
Telephone: +31 24 3652166
E-mail: r.memmesheimer@science.ru.nl
Application
You can apply for the job (mention the vacancy number 62.46.10) before 28 February 2011 by sending your application -preferably by email- to:
RU Nijmegen, FNWI, P&O, mrs. M. van Oostveen
P.O. Box 9010, 6500 GL Nijmegen, NL
Telephone: +31 24 3652250
E-mail: pz@science.ru.nl
Maximum Salary: € 2,612 gross/month
Vacancy number: 62.46.10
Closing date: 28 February 2011
Job description
One of the fundamental questions in neuroscience is how a neural network's structure shapes its dynamics and vice versa. We will address this question by studying the correlation patterns that emerge in complex neural networks of stochastic neurons.
Correlations in the spiking activity of neuronal systems have received substantial attention in experimental and theoretical neuroscience as they might contribute to coding in populations of neurons and as they may allow conclusions on the structure of the underlying neural network.
Over the past five years, it has become feasible in various biological systems to simultaneously record the spikes from many neurons and therewith study patterns of spike train correlations in intact and operating living neural networks.
This raises an urgent demand for theoretical studies on the interplay between network structure and spike correlations. The proposed study will employ recently developed stochastic spiking neuron models that allow an analytical approach to the subject.
The project will be supervised by Raoul-Martin Memmesheimer (Radboud Unversity, Nijmegen, Netherlands) and is a collaboration with Yoram Burak (Harvard University, Cambridge MA, USA) and Tatjana Tchumatchenko (Max-Planck Institute for Dynamics and Self-Organization, Göttingen, Germany).
Requirements
You have a strong theoretical background (theoretical physics, mathematics, or equivalent) with an interest in neural network theory.
Organization
The vacancy for the 4-year position is in the Neuroinformatics department of the Donders Institute for Brain, Cognition and Behaviour at Radboud University Nijmegen, Netherlands, one of the leading neuroscience institutes worldwide. The Neuroinformatics department aims at a theoretical understanding of the complex dynamics of neural systems at the level of microscopic precise spiking dynamics and at the level of mesoscopic collective dynamics to explain emergent large-scale phenomena such as control and learning of behaviour.
Website: www.ru.nl/neuroinformatics
Conditions of employment
Employment: 1,0 fte
Maximum salary per month, based on a fulltime employment: € 2,612 gross/month
The starting salary is €2,042 per month and will increase to €2,612 per month in the fourth year. PhD scale.
Duration of the contract: 4 years.
Additional conditions of employment
You will be appointed as a PhD student for four years. Your performance will be evaluated after 18 months. If the evaluation is positive, the contract will be extended by 2.5 years.
Additional Information
Raoul-Martin Memmesheimer, assistant professor
Telephone: +31 24 3652166
E-mail: r.memmesheimer@science.ru.nl
Application
You can apply for the job (mention the vacancy number 62.46.10) before 28 February 2011 by sending your application -preferably by email- to:
RU Nijmegen, FNWI, P&O, mrs. M. van Oostveen
P.O. Box 9010, 6500 GL Nijmegen, NL
Telephone: +31 24 3652250
E-mail: pz@science.ru.nl
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