UNIVERSITY OF CAMBRIDGE
DEPARTMENT OF APPLIED MATHEMATICS AND THEORETICAL PHYSICS

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Research Associate in Image Analysis

Salary: GBP 31,406 – GBP 40,927 per annum

Limit of tenure: 2 years

Closing date: 18 June 2022

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We invite applications for a Post Doctoral Research Associate to work in the Cambridge Image Analysis group at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge.

The Cambridge Image Analysis Group (CIA) 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 the modelling and analysis of such methods to their computational realisation and application.

The research activity of the successful candidate will take place within the CIA, within the EPSRC established career fellowship project “Combining knowledge and data driven approaches to inverse imaging problems”.

The project is the development of a rigorous mathematical framework for the solution of inverse problems with deep learning-based approaches, including rigorous deep learning-based regularisation, multi-tasking approaches to inverse problems and high impact applications in cancer research and the development of novel nano materials.

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.

Applicants must have (or be about to receive) a PhD degree in mathematics or statistics (or a closely related discipline). The ideal candidate will be experienced in one or more of the following areas: inverse problems, machine learning, mathematical imaging, computational analysis, optimisation and/or data science. Experience in parallel computing and Python/C programming skills are desirable.

Further information, including instructions on how to apply, can be found at: https://www.jobs.cam.ac.uk/job/35203/

The University values diversity and is committed to equality of opportunity. We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our Department.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.