University of Cambridge
Research Assistant/associate in development of 4D image processing methods (Fixed Term)
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Location
The post holder will be located in Central Cambridge, UK.
Introduction
Computed tomography (CT) has transformed fields by enabling non-destructive three-dimensional (3D) imaging. However, conventional CT is fundamentally limited by acquisition speed: high-quality 3D reconstruction typically requires thousands of X-ray radiographs acquired over a full specimen rotation, taking minutes to hours. This makes CT unsuitable for fast, transient phenomena such as additive manufacturing, impact, fracture, and high-rate deformation.
Research Programme
We are launching an ambitious research programme to overcome this limitation and establish new approaches for X-ray tomography of rapidly evolving processes. Combining advances in X-ray hardware, computational imaging, machine learning, and mechanics, the project aims to reconstruct the three-dimensional evolution of materials during dynamic deformation, moving beyond static CT towards true four-dimensional imaging in space and time.
Role
We seek an outstanding Research Associate/Research Assistant to play a leading role in developing the computational foundations of this programme. The successful candidate will develop reconstruction and image-processing methods for highly undersampled, dynamically evolving X-ray datasets, including approaches based on neural radiance fields (NeRFs), neural representations, and related state-of-the-art computational imaging techniques.
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Responsibilities
- Develop new physics-informed and data-driven approaches coupling computational imaging with models of material deformation.
- Combine X-ray measurements with physical knowledge of deformation processes.
- Shape the computational research programme.
Skills and Experience
- Strong background in image processing, inverse problems, machine learning.
- Experience or interest in continuum mechanics and computational solid mechanics.
- Familiarity with finite-element methods, particularly ABAQUS, including coupling ABAQUS to external codes through its Python interface.
Collaboration
The project is interdisciplinary and collaborative, involving researchers at the University of Cambridge and industrial partners.
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Contract Details
- Fixed-term: The funds for this post are available for 24 months in the first instance.
Application Process
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
- Upload your Curriculum Vitae (CV), list of publications, and covering letter.
- Additional documents cannot be considered.
- Applications must be submitted by midnight on the closing date.
Contact Information
For questions about the vacancy or application process, please contact Hilde Hambro, Group Administrator: hh463@cam.ac.uk; +44 (0)1223 748243.
Application Details
- Please quote reference NM50970 on your application and in any correspondence about this vacancy.
Equality, Diversity and Inclusion
The University actively supports equality, diversity, and inclusion and encourages applications from all sections of society.
Eligibility
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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