Research Associate in Deep Learning for Inverse Problems (Fixed Term)
Department of Applied Mathematics and Theoretical Physics
We invite applications for a Research Associate to work in the Cambridge Image Analysis group at DAMTP, University of Cambridge.
The Cambridge Image Analysis Group is specialising in the mathematics of inverse problems in imaging, digital image and video processing using partial differential equations, variational methods and machine learning. Our research ranges from modelling and analysis of such methods to their computational realisation and application.
The research activity of the successful candidate will take place with the CIA group, within the EPSRC established career fellowship project "Combining knowledge and data driven approaches to inverse imaging problems." Particular focus of the project is the development of a rigorous mathematical framework for the solution of inverse problems with deep learning, including rigorous deep learning based regularisation, multi-tasking approaches to inverse problems and deep learning for inverse problems with minimal supervision. These theoretical developments are closely linked to high impact applications in cancer research and development of novel materials.
This is an exceptional opportunity to conduct ambitious research at the forefront of mathematics, machine learning and inverse problems, and within a thriving research group.
Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holder will be expected to plan and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. You must be able to communicate material of a technical nature and be able to build internal and external contacts. You may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction and plan/deliver seminars relating to the research area.