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Gatsby Unit PhD programme at Theoretical Neuroscience and Machine Learning

Country : UK - United Kingdom

Website :


Application for 2019 entry to the Gatsby Unit PhD programme is open.
The deadline is 15th November 2018.
The Gatsby Computational Neuroscience Unit at UCL is a leading research centre
focused on theoretical neuroscience and machine learning. We study
unsupervised, supervised and reinforcement learning in brains and machines;
inference, coding and neural dynamics; Bayesian and kernel methods, and deep
learning; with applications to the analysis of perceptual processing and
cognition, neural data, signal and image processing, machine vision and
nonparametric hypothesis testing.
The Unit provides a unique opportunity for a critical mass of theoreticians to
interact closely with each other, with the Sainsbury Wellcome Centre for Neural
Circuits and Behaviour (SWC, with which we share a new, purpose-designed
building), with the cross-faculty Centre for Computational Statistics and
Machine Learning (CSML), and with other world-class research groups in related
departments at UCL including: Computer Science; Functional Imaging;
Neuroscience, Physiology and Pharmacology; Psychology; Neurology; Ophthalmology;
The Ear Institute; Statistical Science; and the nearby Alan Turing and Francis
Crick Institutes.
Students at the Gatsby Unit complete a four-year PhD in either machine learning
or theoretical neuroscience, with minor emphasis in the complementary field.
Courses in the first year, taught in conjunction with colleagues from the SWC
and CSML, provide a comprehensive and intensive introduction to both fields.
Students are encouraged to work and interact closely with peers and faculty in
the SWC and/or CSML throughout their PhD, providing a uniquely multidisciplinary
research environment.
Applicants should have a strong analytical and quantitative background, a keen
interest in neuroscience, machine learning or both, and a relevant first degree,
for example in Computer Science, Engineering, Mathematics, Neuroscience,
Physics, Psychology or Statistics.
Full funding is available regardless of nationality and current residence. The
Unit also welcomes applicants who have secured or are seeking funding from other
Applications should be submitted via an online portal, accessible from
Only applications complete by the deadline are guaranteed full consideration;
late applications will be entertained only if places remain unfilled.
Further details of research interests are available from and the individual faculty webpages at
Questions should be directed to

Last modified: 2018-10-13 23:48:40