Research Assistant/associate in development of 4D image processing methods (Fixed Term) at University of Cambridge

University of Cambridge; Cambridge; On-site; GBP 40,000 - 56,000; Full time

Job summary

University of Cambridge in Central Cambridge, UK, invites applications for a Research Assistant/Associate to develop 4D image processing methods for evolving X-ray data. The role is fixed-term and on-site, with scope to merge experimental hardware with advanced computational imaging and deformation models.

The project offers freedom to shape the computational research programme and to apply physics-informed, data-driven approaches in collaboration with new X-ray facilities and high-rate

Qualifications

• Strong background in image processing, inverse problems, machine learning.
• Experience or interest in continuum mechanics and computational solid mechanics would be advantageous.
• Familiarity with finite-element methods, particularly ABAQUS, including coupling ABAQUS to external codes through its Python interface, would also be beneficial.

Responsibilities

• Develop reconstruction and image-processing methods for under sampled, dynamic X-ray datasets.
• Explore approaches based on NeRFs, neural representations and related imaging techniques.
• Combine X-ray measurements with physical models of deformation for physics-informed and data-driven research.
• Collaborate with new laboratory X-ray hardware and high-rate mechanical experiments.

Skills

Image processing

Inverse problems

Machine learning

Continuum mechanics

Computational solid mechanics

Python interface

Finite-element methods

Tools

ABAQUS

Python

Job description

Research Assistant/Associate in development of 4D image processing methods (Fixed Term)

University of Cambridge - Central Cambridge, UK

Full time on site position offers great opportunities for career growth.

Scope of Work

• The successful candidate will develop reconstruction and image-processing methods for highly under sampled, dynamically evolving X-ray datasets, including approaches based on neural radiance fields (NeRFs), neural representations and related state-of-the-art computational imaging techniques.
• A central challenge will be to combine X-ray measurements with physical knowledge of deformation processes.
• The project therefore offers significant scope to develop new physics-informed and data-driven approaches coupling computational imaging with models of material deformation, with considerable freedom to shape the computational research programme.
• The computational work will be closely integrated with new laboratory X-ray hardware and high-rate mechanical experiments.

Requirements

• Strong background in image processing, inverse problems, machine learning.
• Experience or interest in continuum mechanics and computational solid mechanics would therefore be advantageous.
• Familiarity with finite-element methods, particularly ABAQUS, including coupling ABAQUS to external codes through its Python interface, would also be beneficial.

Contract Details

Fixed term: The funds for this post are available for 24 months in the first instance.

Equal Opportunity & Eligibility

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

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