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Research Fellow in Tomographic Image Reconstruction

Institute of Sound & Vibration Research

Location:  Highfield Campus
Salary:   £30,942 to £38,017 per annum
Full Time, Fixed Term until 30/11/2020
Closing Date:  Sunday 03 November 2019
Reference:  1185219DA

We are seeking a Research Fellow to work on an exciting project to develop novel algorithms for the reconstruction of 3D images from tomographic x-ray measurements.

X-ray tomography is used in many areas, from medical diagnosis to the non-destructive testing of aerospace components. Modern aerospace components are often safety critical and thus need regular safety testing. However, they often have complex shapes and use a range of materials which means that traditional x-ray systems do not work well. We have been developing more advanced systems to specifically address these issues. One of our developmental systems is now capable of moving objects along complex trajectories, however, due to missing tomographic information in the acquisition, current reconstruction algorithms still lead to results with significant artefacts.

Your role will be the development of bespoke tomographic reconstruction algorithms to deal with this by using additional information about the object. In particular, in non-destructive testing of manufactured components, we often have technical drawings that provide geometric information about an object. The challenge will be to develop efficient methods that can combine x-ray measurement data from real components with geometric information taken from these technical drawings.

You will join a team of several PhD students and postdoctoral researchers who are working on a range of tomographic reconstruction projects. Team members come from the signal processing and control group and the µ-VIS volumetric imaging centre. The group has access to dedicated high-end computing hardware, including high memory multi-GPU workstations. The University also hosts the 12,000 core IRIDIS4 supercomputer cluster offering additional high-end computing resources.

In addition to the computing resources of the group, the µ-VIS imaging centre (http://www.southampton.ac.uk/muvis/index.page) hosts seven complementary XCT systems, offering imaging capabilities from nanoCT imaging to the largest highest energy micro-CT system in Europe at present. A large walk in room based system allows us the flexibility to install different platforms and manipulator systems. You will work closely with a dedicated second postdoctoral researcher who has designed our current manipulator and who will conduct experimental work to support your algorithmic developments.

The appointment is initially to the end of Novermber 2020, after which an extension might be possible depending on funding body approval. 

A PhD or equivalent professional qualification and experience in computer science, engineering, physics, applied mathematics or an equivalent technical discipline is required.  This is a computational role and good programming skills are essential. Experience with matlab and python programming is highly desirable and so is experience with ASTRA or TIGRE tomographic reconstruction software. Other desirable experience includes a background in numerical optimisation, a detailed understanding and knowledge of tomographic image reconstruction and expertise in ray tracing and finite element computation.

(Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.  The title of Research Fellow will be applied upon successful completion of the PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given). 

Equality, diversity and Inclusion is central to the ethos in the School of Engineering. In recognition of our continued commitment to improving equality for women in science we were awarded an Athena SWAN bronze in 2013 and 2016.  We give full consideration to applicants that wish to work flexibly including part-time and due consideration will be given to applicants who have taken a career break. The University has a generous maternity policy*, onsite childcare facilities

The University of Southampton is in the top 1% of world universities and in the top 10 of the UK’s research-intensive universities. The University of Southampton is committed to sustainability and being a globally responsible university and has recently been awarded the Platinum EcoAward.  Our vision is to embed the principles of sustainability into all aspects of our individual and collective work, integrating sustainable development into our business planning, policy-making, and professional activities.  This commits all of our staff and students to take responsibility for managing their activities to minimise harm to the environment, whether this through switching off non-essential electrical equipment or using the recycling facilities.

*subject to qualifying criteria

Informal enquiries are particularly welcome - please contact Dr Thomas Blumensath via email thomas.blumensath@soton.ac.uk

Application Procedure:

You should submit your completed online application form at https://jobs.soton.ac.uk. Please include a CV, publication list, and statement of research interests with your application.

The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Daniel Ward (Recruitment Team) on +44 (0) 23 8059 3462. Please quote reference 1185219DA on all correspondence.

Athena SWAN Bronze Award holder: Faculty of Engineering


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We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.


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