Gatsby Computational Neuroscience Unit, PhD Programme
Gatsby Computational Neuroscience Unit, University College London 4 year PhD Programme
The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian and nonparametric statistics, kernel methods, and applications of these to the analysis of perceptual processing, neural data, machine vision and bioinformatics. It provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, and with other world-class research groups in related departments at UCL, including the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, with which we will shortly share a building, and Biosciences, Computer Science, Functional Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology and Statistics, the cross-faculty Centre for Computational Statistics and Machine Learning, and also with other UK and overseas universities.
The Unit has openings for exceptional PhD candidates. Applicants should have a strong analytical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics.
The PhD programme lasts four years, including a first year of intensive instruction in techniques and research in theoretical neuroscience and machine learning.
All students are fully funded, regardless of nationality. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships.
We will review applications as soon as they are complete (including a CV, statement of research interests and letters from three referees) until the positions are filled. Early application is thus advised.
Full details of our programme, and how to apply, are available at: http://www.gatsby.ucl.ac.uk/teaching/phd
For further details of research interests please see http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/members.html
Training in theoretical and computational neuroscience and machine learning.
The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian (Including nonparametric) statistics, kernel methods and applications of these to the analysis of perceptual processing, neural data, artificial intelligence and bioinformatics. It provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, and with other world-class research groups in related departments at UCL, including Computer Science, Functional Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology, Statistical Science, the cross-faculty Centre for Computational Statistics and Machine Learning, and with other UK and overseas universities. We expect particularly close links with the nascent Sainsbury Wellcome Centre for Neural Circuits and Behaviour, with which we will shortly share a brand new building.
The Unit has openings for exceptional PhD candidates. Applicants should have a strong analytical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics.
The PhD programme lasts four years, including a first year of intensive instruction in techniques and research in theoretical neuroscience and machine learning.
All students are fully funded, regardless of nationality. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships. Gatsby PhD studentships cover the cost of tuition at the appropriate rate, and include a tax-free stipend of £20,000 per annum.
Applications (including a CV, statement of research interests, and letters from three referees) for 2015/16 admission must be sent directly to the Gatsby Unit admissions@gatsby.ucl.ac.uk by midnight December 17th, 2014.
Full details of our programme, and how to apply, are available at: http://www.gatsby.ucl.ac.uk/teaching/phd
For further details of research interests please see http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/members.html
Under the Directorship of Professor John O’Keefe, the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) will bring together world-leading scientists to investigate how brain circuits process information to create the neural representations that guide behaviour. Developed through the vision and partnership of the Gatsby Charitable Foundation and the Wellcome Trust, and with substantial investment from these partners, the mission of SWC is to transform understanding of brain function.
The Centre, located within UCL and close to its main campus in central London, is being structured to foster a culture of innovation, collaboration, enquiry and excellence. SWC scientists will use the latest advances in molecular and cellular biology, imaging, electrophysiology and behavioural techniques and enjoy an unparalleled research environment offering state-of-the-art research laboratories, cutting-edge scientific equipment, technologically-advanced prototyping and fabrication laboratories and custom in-house high-performance computing facilities.
Commencing research operations in early 2016, SWC will comprise 12 highly interdisciplinary experimental research groups accommodated in a new, purpose-designed, seven-storey building. The Gatsby Computational Neuroscience Unit has relocated to the new building, facilitating broad and deep collaborations in data analysis and computational modelling. Scientists joining SWC will become part of UCL Neuroscience which brings together over 450 principal investigators offering extensive opportunities for interaction and collaboration. Formal teaching commitments will be minimal allowing scientists to focus on research.
The Centre invites applications for SWC Senior and Principal Research Fellowships from outstanding, innovative, highly-motivated collaborative scientists with backgrounds in neuroscience as well as related physical and biological sciences. It is particularly interested in scientists wishing to extend the boundaries of technological development in areas such as high- density electrophysiological probes, telemetry, optical recording, molecular and genetic tools, new anatomical mapping techniques, and the use of virtual reality and other novel behavioural approaches such as video image analysis. Competitive salaries, tailored research space and generous relocation and recruitment packages, including research support, will be offered. Shortlisted fellowship candidates will be invited to a residential recruitment symposium scheduled for 18-20 November 2015.
For further details, please visit:
http://www.ucl.ac.uk/swc/opportunities
Expressions of interest in senior academic positions are also welcome and may be addressed to the Centre Director or Centre Manager. Contact details are available on the web pages.
participants (1)
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Peter Dayan