We invite applications for 12 fully-funded PhD studentships at the University of Edinburgh Doctoral Training Centre (DTC) in Neuroinformatics and Computational Neuroscience. The DTC is a world-class centre for research at the interface between neuroscience and the engineering, computational, and physical sciences.
Our four-year programme is ideal for students with strong computational and analytical skills who want to employ cutting-edge methodology to advance research in neuroscience and related fields. The first year consists of courses in neuroscience and informatics, as well as lab projects. This is followed by a three-year PhD project done in collaboration with one of the many departments and institutes affiliated with the DTC.
The DTC focuses on research into understanding the brain and the nervous system using computational models and experiments, and also includes applying findings from neuroscience to build better software and hardware (robots and microcircuits), and using advanced methods to improve data handling and analysis including clinical diagnosis. PhD topics fall into five main areas:
Computational neuroscience: Using analytical and computational models, potentially supplemented with experiments, to gain quantitative understanding of the nervous system. Current projects focus on the development and function of sensory and motor systems, including neural coding, learning, and memory.
Cognitive science: Studying human cognitive processes and analysing them in computational terms.
Biomedical imaging algorithms and tools: Using advanced data analysis techniques, such as machine learning and Bayesian approaches, for imaging-based diagnosis and research.
Software systems and applications: Using discoveries from neuroscience to develop software that can handle real-life data.
Neurorobotics and VLSI: Using insights from neuroscience to help build better hardware, such as neuromorphic VLSI circuits and robots that perform robustly under natural conditions.
Edinburgh has a world-class research community in these areas and leads the UK in creating a coherent programme in neuroinformatics and computational neuroscience. Edinburgh has been voted 'best place to live in Britain', and has many exciting cultural and student activities.
Students with a strong background in computer science, mathematics, physics, or engineering are particularly welcome to apply. Highly motivated students with other backgrounds will also be considered.
Up to 12 full studentships (12,973-14,766 UK pounds/year) are available to UK students and a small number of EU students. Non-EU/non-UK applicants are also encouraged, but will need to provide their own funding and evidence thereof.
Further information and application forms can be obtained from: http://www.anc.ed.ac.uk/dtc
For full consideration for entry in September 2009, please apply by 16 February 2009.
Our four-year programme is ideal for students with strong computational and analytical skills who want to employ cutting-edge methodology to advance research in neuroscience and related fields. The first year consists of courses in neuroscience and informatics, as well as lab projects. This is followed by a three-year PhD project done in collaboration with one of the many departments and institutes affiliated with the DTC.
The DTC focuses on research into understanding the brain and the nervous system using computational models and experiments, and also includes applying findings from neuroscience to build better software and hardware (robots and microcircuits), and using advanced methods to improve data handling and analysis including clinical diagnosis. PhD topics fall into five main areas:
Computational neuroscience: Using analytical and computational models, potentially supplemented with experiments, to gain quantitative understanding of the nervous system. Current projects focus on the development and function of sensory and motor systems, including neural coding, learning, and memory.
Cognitive science: Studying human cognitive processes and analysing them in computational terms.
Biomedical imaging algorithms and tools: Using advanced data analysis techniques, such as machine learning and Bayesian approaches, for imaging-based diagnosis and research.
Software systems and applications: Using discoveries from neuroscience to develop software that can handle real-life data.
Neurorobotics and VLSI: Using insights from neuroscience to help build better hardware, such as neuromorphic VLSI circuits and robots that perform robustly under natural conditions.
Edinburgh has a world-class research community in these areas and leads the UK in creating a coherent programme in neuroinformatics and computational neuroscience. Edinburgh has been voted 'best place to live in Britain', and has many exciting cultural and student activities.
Students with a strong background in computer science, mathematics, physics, or engineering are particularly welcome to apply. Highly motivated students with other backgrounds will also be considered.
Up to 12 full studentships (12,973-14,766 UK pounds/year) are available to UK students and a small number of EU students. Non-EU/non-UK applicants are also encouraged, but will need to provide their own funding and evidence thereof.
Further information and application forms can be obtained from: http://www.anc.ed.ac.uk/dtc
For full consideration for entry in September 2009, please apply by 16 February 2009.
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