Students should hold, or be close to completion of, an undergraduate or masters degree in physics, mathematics, computer science, engineering, or similar, and
be interested in applying their analytical skills to tackle problems in neuroscience. Highly motivated students with other backgrounds may also be considered.
The newly-formed Chadwick group focuses on the dynamics of neural populations underlying visual perception and spatial navigation. We use a combination of approaches,
including 1) top-down modelling of neural circuit function guided by machine learning and artificial intelligence solutions 2) bottom-up analysis and simulation of neuronal network dynamics, and 3) statistical modelling of large-scale neural recordings. Our
long-term goal is to develop a unified theory of the neural circuit computations supporting visual and spatial processing which spans these levels of analysis. We collaborate closely with a number of experimental neuroscience laboratories both in Edinburgh
and further afield.
Edinburgh is a vibrant and international city with a large student population, and has been voted as “best place to live in Britain”. The School of Informatics
maintains an internationally-leading research environment in Computational Neuroscience, Machine Learning and Robotics, with close links to the Centre for Discovery Brain Sciences and the School of Philosophy, Psychology and Language Sciences.