[Comp-neuro] Two fully-funded PhD Studentships in Computer Science at Leeds University

Marc de Kamps M.deKamps at leeds.ac.uk
Wed Apr 21 10:00:18 CEST 2010


Two fully-funded home/EU PhD studentships are available in the School of Computing at the University of Leeds, UK.
 
The Biosystems Group is especially keen to encourage students to apply in the areas of computational neuroscience and bioinformatics.
The following areas are currently of particular interest:
 
(i) Bioinformatics & machine learning with high throughput 'omics data
(ii) Modelling dynamical biological systems
(iii) Modelling sensory processing, motor control and learning in the C. elegans nervous system
(iv) Neural models of visual attention and working memory
(v) Population density method for spiking neurons

Any applicant will compete for the position(s) with applicants in all other subject areas in the School of Computing. The awards will be made on applicant merit only.
 
Funding: The two studentships are funded by an EPSRC doctoral training grant and will start from 1 September 2010 or as soon as possible thereafter. Each of the two studentships is funded for 3.5 years and covers Home/EU fees and maintenance at the standard EPSRC rate (currently £13,490 per annum). There is also an allowance for travel and equipment.

Requirements: All PhD candidates should have or expect to obtain a first class or good 2:1 honours degree in computer science or other related areas. A background in computational neuroscience, bioinformatics, mathematics or physics is necessary. The successful candidates should fulfil the eligibility criteria for EPSRC funding through UK/EU nationality and residency status.
 
Application:  See http://www.leeds.ac.uk/students/apply_research.htm
for online applications. The application deadline is the 30 April 2010. Contact Netta Cohen (N.Cohen at leeds.ac.uk), Chris Needham (C.Needham at leeds.ac.uk) or Marc de Kamps (M.deKamps at leeds.ac.uk) for academic questions and rsadmit at comp.leeds.ac.uk for administrative ones.
 
 
 



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