Cambridge Centre for Research Associate on the Mathematics of Deep Learning (Maths4DL) (Fixed Term)
Department of Applied Mathematics and Theoretical Physics
A position exists for a Post-Doctoral Research Associate to work in the EPSRC Programme Grant EP/V026259/1 on the "Mathematics of Deep Learning". Math4DL is a joint programme run by the University of Cambridge, University of Bath and University College London. The successful candidate will join a close knit team hosted by all three universities and led by Profs Carola-Bibiane Schönlieb and Richard Nickl (Cambridge), Prof Chris Budd OBE and Dr Matthias Ehrhardt (Bath) and Profs Simon Arridge and Bangti Jin (UCL).
This is an exceptional opportunity to conduct ambitious research at the forefront of mathematics, statistics and machine learning. There are generous funds available for conference attendance, travel, computer equipment, training and career development.
The Vision and Ambition of Maths4DL is to develop a comprehensive mathematical, statistical and computational framework that addresses i) the foundational challenges on interpretability of the trained Deep Neural Networks (DNN), ii) robustness and generalisation of DNN on test data, iii) statistical confidence in DNN-outputs and iv) computational challenges with large-scale models and high-dimensional training data.
The three university team which the successful candidate will join, combines leading expertise in deep learning, interdisciplinary mathematics, statistics, Artificial Intelligence (AI), Partial Differential Equations (PDEs), optimal transport, optimisation, environmental modelling, numerical analysis, geometric integration, scientific computing, image processing, probability, and inverse problems.
Duties include developing and conducting individual and collaborative research objectives, proposals and projects as part of the overall work of the Maths4DL programme. The successful candidate must be able to communicate material of a technical nature and be able to build internal and external contacts. The successful candidate may be asked to assist in the supervision of student projects, provide instruction and plan/deliver seminars relating to the research area of Maths4DL.
Applicants must have (or about to receive) a PhD degree in mathematics or statistics (or a closely related discipline). The ideal candidates will be experienced in one or more of the following areas: mathematical or computational analysis, mathematical statistics, inverse problems, machine learning, mathematical imaging, optimisation and/or data science. Experience in programming is desirable (e.g. MATLAB / Python, Tensorflow/PyTorch).