[Comp-neuro] postdoc in computational neuroscience
m.lengyel at eng.cam.ac.uk
Fri Jun 12 11:37:41 CEST 2015
Postdoctoral Fellow in Computational Neuroscience
University of Cambridge
We are seeking a highly creative and motivated postdoctoral fellow (research associate or senior research associate) to work jointly in the groups of Guillaume Hennequin and Mate Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge (http://learning.eng.cam.ac.uk/).
Our groups study dynamics and computation in neural circuits using a combination of approaches from dynamical systems, control theory, and statistical inference. The jointly led project will combine normative with bottom-up approaches to study the neural implementation of challenging computations. Areas of interest include balanced network dynamics, synaptic plasticity, and Bayesian inference.
The successful candidate will have a strong analytical background and demonstrable interest in theoretical neuroscience. They should have or be close to completion of a PhD or equivalent in computational neuroscience, physics, mathematics, computer science, machine learning or a related field. Previous experience in computational neuroscience is not required, but preference will be given to candidates with sufficient programming skills to run numerical simulations, or expertise with neural network models, analysis of dynamical systems, and Bayesian techniques.
The appointment will be for 1 year initially (extendable subject to funding) starting 1 October 2015 or as soon as possible thereafter. Salary depends on experience and is in the range £28,695 - £48,743 p.a.
For informal queries, please contact Guillaume Hennequin <g.hennequin at eng.cam.ac.uk> or Mate Lengyel <m.lengyel at eng.cam.ac.uk>.
Mate Lengyel, PhD
Computational and Biological Learning Lab
Cambridge University Engineering Department
Trumpington Street, Cambridge CB2 1PZ, UK
tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587
email: m.lengyel at eng.cam.ac.uk
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