PhD Programme in Theoretical Neuroscience and Machine Learning
Deadline: 11 November 2024
The
Gatsby Computational Neuroscience Unit is a leading research centre
focused on theoretical neuroscience and machine learning. We study
(un)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, network data and nonparametric hypothesis testing.
The
Unit provides a unique opportunity for a critical mass of theoreticians
to interact closely with one another and with researchers at the
Sainsbury WellcomeCentre for Neural Circuits and Behaviour (SWC), the
Centre for Computational Statistics and Machine Learning (CSML) and
related UCL departments such as Computer Science; Statistical Science;
Artificial Intelligence; the ELLIS Unit at UCL; Neuroscience; and the
nearby Alan Turing and Francis Crick Institutes.
Our
PhD programme provides a rigorous preparation for a research career.
Students complete a 4-year PhD in either machine learning or
theoretical/computational neuroscience, with minor emphasis in the
complementary field. Courses in the first year provide a comprehensive
introduction to both fields and systems neuroscience. Students are
encouraged to work and interact closely with SWC/CSML researchers to
take advantage of this 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 Mathematics, Statistics, Computer Science,
Engineering, Physics, Neuroscience or Cognitive Psychology.
Full
funding is available regardless of nationality. The unit also welcomes
applicants who have secured or are seeking funding from other sources.
--
I-Chun Lin, PhD
Scientific Programme Manager
Gatsby Computational Neuroscience Unit, UCL