PhD position in Mathematics for Deep Learning

Deep Learning is a branch of Artificial Intelligence (AI) that has had spectacular success in a very wide range of applications, including computer vision, natural language programming, and games playing, to name only a few, fuelled by major advances in computer hardware and software. However, a lack of interpretability and generalisability hampers adoption of this technology in many important areas. The Mathematics for Deep Learning programme grant is a five year, EPSRC funded project between UCL. Cambridge, and University of Bath that aims to develop significant new mathematical, statistical and computational methods for understanding and progressing Deep Learning, with applications in medical imaging, inverse problems, scientific computing and meteorology.

The student will develop innovative mathematical and algorithmic techniques inspired by deep learning and training paradigms for solving forward and inverse problems modelled by partial differential equations at large scales. The PhD project will involve extensive implementation and testing for applications addressed by the programme consortium,  and will work closely with other academic and industrial partners to ensure that translation to real applications will be realised.

 1st or Upper 2^nd class degree in mathematics, physics, engineering or other mathematical sciences subject. Good programming skills in a high-level language e.g. C, C++, Python. Interest in imaging science, inverse problems and machine learning.

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