We are looking for a Research Fellow (Post-Doc) to work on a cross-disciplinaryresearch project in the fields of computational neuroscience, nature-inspired computation and machine learning on "Structures of Learning Algorithms for Spiking Neural Networks" with Dr Andre Gruning at the Computing Department of the University of Surrey. This post and research project are funded by the European Union's high-profile flagship "Human Brain Project", and the researcher will become part of the vibrant community of the Human Brain Project (https://www.humanbrainproject.eu) and is expected to proactively interact within other research groups within the Human Brain Project. The researcher will be based at the University of Surrey, but will also be given the opportunity to spend significant amounts of her/his research time at the European Institute for Theoretical Neuroscience at Paris (www.eitn.eu) or with other collaborating Human Brain Project partners.

The post holder is expected to hold a PhD (or be close to completion of a PhD) in a relevant area such as Computer Science, Physics, Mathematics or Engineering. Programming skills in C/C++ and/or Python are a must as well as excellent mathematical and analytical skills.

Expertise in computational and mathematical modelling of spiking neural networks and their learning algorithms is a plus. Experience with standard neural network modelling tools such as PyNN and NEST are also highly desirable as are excellent scientific writing skills. Mathematical experience should include differential equations, partial derivatives and basic stochastics.

Start date: 1st March 2015 or as soon as possible thereafter. The appointment is until 31st March 2016 in the first instance. Interviews for the post are planned for February 2015.

Informal enquires are encouraged directly to Dr Andre Gruning (e-mail: a.gruning@surrey.ac.uk, tel: +44-1483-68-2648). A more detailed project description is available on request.

Further details:

For more information and to apply online, please download the further details and click on the 'apply online' button below.

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