英国Sussex大学计算神经科学博士后岗位
来源：丁香人才网
日期：2007-10-26
Institution
University of Sussex (http://www.sussex.ac.uk/)
Position
Post-Doctoral Research Fellow in Computational Neuroscience
Location
Sussex, United Kingdom
Date Posted
Oct 25th 2007
Closing Date for applications
Dec 1st 2007
Expected Start Date
Feb 1st 2008
Salary range
Grade 7 (£27,466 to £32,796 p.a.)
Description
UNIVERSITY OF SUSSEX
School of Science and Technology
Centre for Computational Neuroscience and Robotics (CCNR)
Department of Informatics
Post-Doctoral Research Fellow in Computational Neuroscience
3 years fixed term, full time Ref 928
3 years fixed term, part-time – 50% fte Ref 929
Two post-doctoral positions (one full time, one part time) inComputational Neuroscience are available in a new research initiativefor modelling the pheromone system of the moth at the Centre forComputational Neuroscience and Robotics (CCNR) at the University ofSussex starting 1 February 2008. The research initiative, funded by theFrench ANR and British BBSRC, is in conjunction with two Frenchpartners, the groups of Dr. Jean-Pierre Rospars at INRA, Versailles andof Dr. Dominique Martinez at LORIA, Nancy. You will work on dataanalysis and computational models of information processing in thepheromone subsystem of the moth antennal lobe.
The work plan includes opportunities to analyze original experimentaldata from one of the French partners as well as to develop your owndirections in investigating this system. A 80 core compute cluster isavailable at the CCNR for numerical work and will be extended to 120cores for this project.
For the full time position, emphasis will be on building detailed andincreasingly simplified one-glomerulus models to analyze the specificinformation processing strategies in the moth. An important part of thiswork will be the development of suitable data fitting and modelsimplification methods.
On the part-time position you will focus on the amplification andnoise-suppression problem in the pheromone system, starting from generalmodels of convergent neuronal networks with noise. Later you will joinforces with the other research fellow and analyze the specific exampleof the moth on the one-glomerulus level.
Successful candidates must hold a PhD or equivalent degree in aquantitative science discipline. We are looking for candidates with astrong mathematical and computational background. Knowledge of theolfactory system would be a plus but is not a requirement.
Both positions require a good knowledge of a higher object orientedprogramming language (preferably C+) because the research will build onprevious models in C+. Part of the duties of the full time postdoc willbe the setup and maintenance of the general website and data-sharingserver of the collaboration. Therefore, experience managing web contentwould be a plus. The positions will involve occasional travel to France.
Contact
For informal inquiries about the positions, please contact Dr. Thomas
Nowotny, CCNR, Informatics, University of Sussex, Falmer, Brighton BN1
9QJ, t.nowotny@sussex.ac.uk. Dr. Nowotny will be present at the SfNAnnual Meeting in San Diego 3 – 7 November 2007.
Please provide a CV with publication list, a brief (1 page) statement ofwhy you are interested in the position and what your future career plansare with your application form.
For full details and how to apply see www.sussex.ac.uk/jobs
The University of Sussex is committed to equality of opportunity
University of Sussex (http://www.sussex.ac.uk/)
Position
Post-Doctoral Research Fellow in Computational Neuroscience
Location
Sussex, United Kingdom
Date Posted
Oct 25th 2007
Closing Date for applications
Dec 1st 2007
Expected Start Date
Feb 1st 2008
Salary range
Grade 7 (£27,466 to £32,796 p.a.)
Description
UNIVERSITY OF SUSSEX
School of Science and Technology
Centre for Computational Neuroscience and Robotics (CCNR)
Department of Informatics
Post-Doctoral Research Fellow in Computational Neuroscience
3 years fixed term, full time Ref 928
3 years fixed term, part-time – 50% fte Ref 929
Two post-doctoral positions (one full time, one part time) inComputational Neuroscience are available in a new research initiativefor modelling the pheromone system of the moth at the Centre forComputational Neuroscience and Robotics (CCNR) at the University ofSussex starting 1 February 2008. The research initiative, funded by theFrench ANR and British BBSRC, is in conjunction with two Frenchpartners, the groups of Dr. Jean-Pierre Rospars at INRA, Versailles andof Dr. Dominique Martinez at LORIA, Nancy. You will work on dataanalysis and computational models of information processing in thepheromone subsystem of the moth antennal lobe.
The work plan includes opportunities to analyze original experimentaldata from one of the French partners as well as to develop your owndirections in investigating this system. A 80 core compute cluster isavailable at the CCNR for numerical work and will be extended to 120cores for this project.
For the full time position, emphasis will be on building detailed andincreasingly simplified one-glomerulus models to analyze the specificinformation processing strategies in the moth. An important part of thiswork will be the development of suitable data fitting and modelsimplification methods.
On the part-time position you will focus on the amplification andnoise-suppression problem in the pheromone system, starting from generalmodels of convergent neuronal networks with noise. Later you will joinforces with the other research fellow and analyze the specific exampleof the moth on the one-glomerulus level.
Successful candidates must hold a PhD or equivalent degree in aquantitative science discipline. We are looking for candidates with astrong mathematical and computational background. Knowledge of theolfactory system would be a plus but is not a requirement.
Both positions require a good knowledge of a higher object orientedprogramming language (preferably C+) because the research will build onprevious models in C+. Part of the duties of the full time postdoc willbe the setup and maintenance of the general website and data-sharingserver of the collaboration. Therefore, experience managing web contentwould be a plus. The positions will involve occasional travel to France.
Contact
For informal inquiries about the positions, please contact Dr. Thomas
Nowotny, CCNR, Informatics, University of Sussex, Falmer, Brighton BN1
9QJ, t.nowotny@sussex.ac.uk. Dr. Nowotny will be present at the SfNAnnual Meeting in San Diego 3 – 7 November 2007.
Please provide a CV with publication list, a brief (1 page) statement ofwhy you are interested in the position and what your future career plansare with your application form.
For full details and how to apply see www.sussex.ac.uk/jobs
The University of Sussex is committed to equality of opportunity
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