PhD Studentship in Computational Methods for Ultrafast Volumetric Imaging University of Southampton, Signal Processing & Control Group United Kingdom

PhD Studentship: Computational Methods for Ultrafast Volumetric Imaging.


Signal Processing & Control Group


Location: Highfield Campus

Closing Date: Wednesday 20 December 2017

Reference: 676016KR

Project Reference: NGCM-0075


Joining Dr Blumensath and his team at the University of Southampton’s µ-VIS volumetric imaging centre (, you will be working on the development of world leading x-ray technology. X-ray computed tomography can take volumetric images of the inside of a patient or an object. However, taking such an image using x-rays is a slow process, which means that it is difficult to study processes that change with time. In order to image very fast phenomena, novel x-ray imaging systems need to be developed. In this project, you will use computer simulations to investigate a system that modulates the x-ray radiation intensity. Your task will be to develop advanced algorithms that will be able to exploit this modulation in order to allow volumetric images to be reconstructed at short timescales. You will have access to high end computing facilities, including the University’s supercomputer cluster and dedicated high specification volumetric image processing facilities. You will be hosted in the Faculty of Engineering’s Signal Processing and Control group and work closely with experts from the µ-VIS x-ray imaging lab. µ-VIS is one of the world’s leading x-ray facilities. It has 6 complementary CT systems and lab members have extensive experience using synchrotron facilities.


If you wish to discuss any details of the project informally, please contact Thomas Blumensath, Signal Processing and Control research group, Email: Tel: +44 (0) 2380 59 3224.


This project is run through participation in the EPSRC Centre for Doctoral Training in Next Generation Computational Modelling ( For details of our 4 Year PhD programme, please see


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