英国Sussex大学计算神经科学研究博士后岗位
日期：2007-12-11
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InstitutionUniversity of Sussex (http://www.sussex.ac.uk)PositionPost-Doctoral Research Fellow in Computational NeuroscienceLocationBrighton UKDate PostedDecember 10th 2007DescriptionSchool of Science ...
Institution
University of Sussex (http://www.sussex.ac.uk)
Position
Post-Doctoral Research Fellow in Computational Neuroscience
Location
Brighton, UK
Date Posted
December 10th 2007
Description
School of Science and Technology, Centre for Computational Neuroscienceand 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
Salary range: Grade 7 £27,466 to £32,796 p.a. (pro-rata for part time post)
Expected start date: As soon as possible
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. Our objective in this project is todiscover how insects use their sense of smell (olfaction) to findpheromone (chemicals emitted by living organisms to send messages toindividuals of the same species) sources in a noisy and dynamicenvironment. The ability of a flying male moth to find a pheromoneemitting mate is truly remarkable and well beyond our ability toreplicate artificially. Investigating this system will substantiallyadvance our knowledge in sensory systems and neuroscience in general andwill have strong implications for biomimetic applications. The researchinitiative, funded by the French ANR and British BBSRC, is inconjunction with two French partners, the groups of Dr. Jean-PierreRospars at INRA, Versailles and of Dr. Dominique Martinez at LORIA,Nancy. You will work on computational modeling of the pheromone-detecting centre of the moth brain – the antennal lobe. The work planincludes opportunities to analyze original experimental data from one ofthe French partners and building computational models as well as todevelop your own research directions. An 80-core computer 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. Another important part ofthis work will be the development of suitable data fitting and modelsimplification methods.
The part-time position 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 neuroscience background. Knowledgeof the olfactory system would be a plus but is not a requirement. Bothpositions require a good knowledge of a higher object orientedprogramming language (preferably C++). The positions will involveoccasional travel to France.
Contact
For informal inquiries about the positions, please contact Dr. ThomasNowotny, CCNR, Informatics, University of Sussex, Falmer, Brighton BN19QJ, t.nowotny@sussex.ac.uk. Please provide a CV with publication listwith your application form and include a description of your scientificinterests and future aspirations in the ‘additional support’ section.
Closing date for applications: 12 January 2008
Interviews are anticipated for end of January 2008
For full details and how to apply see
http://www.sussex.ac.uk/Units/staffing/personnl/vacs/vac928_929.shtml
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
Brighton, UK
Date Posted
December 10th 2007
Description
School of Science and Technology, Centre for Computational Neuroscienceand 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
Salary range: Grade 7 £27,466 to £32,796 p.a. (pro-rata for part time post)
Expected start date: As soon as possible
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. Our objective in this project is todiscover how insects use their sense of smell (olfaction) to findpheromone (chemicals emitted by living organisms to send messages toindividuals of the same species) sources in a noisy and dynamicenvironment. The ability of a flying male moth to find a pheromoneemitting mate is truly remarkable and well beyond our ability toreplicate artificially. Investigating this system will substantiallyadvance our knowledge in sensory systems and neuroscience in general andwill have strong implications for biomimetic applications. The researchinitiative, funded by the French ANR and British BBSRC, is inconjunction with two French partners, the groups of Dr. Jean-PierreRospars at INRA, Versailles and of Dr. Dominique Martinez at LORIA,Nancy. You will work on computational modeling of the pheromone-detecting centre of the moth brain – the antennal lobe. The work planincludes opportunities to analyze original experimental data from one ofthe French partners and building computational models as well as todevelop your own research directions. An 80-core computer 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. Another important part ofthis work will be the development of suitable data fitting and modelsimplification methods.
The part-time position 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 neuroscience background. Knowledgeof the olfactory system would be a plus but is not a requirement. Bothpositions require a good knowledge of a higher object orientedprogramming language (preferably C++). The positions will involveoccasional travel to France.
Contact
For informal inquiries about the positions, please contact Dr. ThomasNowotny, CCNR, Informatics, University of Sussex, Falmer, Brighton BN19QJ, t.nowotny@sussex.ac.uk. Please provide a CV with publication listwith your application form and include a description of your scientificinterests and future aspirations in the ‘additional support’ section.
Closing date for applications: 12 January 2008
Interviews are anticipated for end of January 2008
For full details and how to apply see
http://www.sussex.ac.uk/Units/staffing/personnl/vacs/vac928_929.shtml
The University of Sussex is committed to equality of opportunity
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