Neuroinformatics and Computational Neuroscience [12 studentships]

Please note the last intake of students for this programme is September 2013.

We invite applications for 12 fully-funded PhD studentships for UK students at the University of Edinburgh Doctoral Training Centre (DTC) in Neuroinformatics and Computational Neuroscience, to start in September 2013.

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, or to apply ideas from neuroscience to computational problems. 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.

Current DTC 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. Many projects focus on the development and function of sensory and motor systems in animals, including neural coding, learning, and memory.

Biomedical imaging algorithms and tools: Using advanced data analysis techniques, such as machine learning and Bayesian approaches, for imaging-based diagnosis and research.

Cognitive science: Studying human cognitive processes and analysing them in computational terms.

Neuromorphic engineering: Using insights from neuroscience to help build better hardware, such as neuromorphic VLSI circuits and robots that perform robustly under natural conditions.

Software systems and applications: Using discoveries from neuroscience to develop software that can handle real-world data, such as video, audio, or speech.

Other related areas of research may also be considered.

Edinburgh has a large, world-class research community in these areas and leads the UK in creating a coherent programme in neuroinformatics and computational neuroscience. Edinburgh has often been voted 'best place to live in Britain', and has many exciting cultural and student activities.

Background required

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 (including stipend of £14,385 - £17,782 pounds/year) are available to UK citizens or permanent residents. EU students can be funded for tuition and fees, but will need to provide evidence of external funding for living costs. Other overseas students can be accepted only with full external funding, typically via a scholarship from their country of origin.

Further Details

Non-UK students can apply to the affiliated EuroSPIN program. Non-UK applicants can also be accepted if they provide their own funding, typically via a scholarship from their country of origin.

Further information and application forms can be obtained from the DTC website.

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