PhD Studentship: Computational Methods for Ultrafast Volumetric Imaging.
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Closing date
- Jan 9, 2017
View more
- Sector
- Science, Physical Sciences and Engineering, Chemical Engineering, Chemistry
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
Job Details
PhD Studentship: Computational Methods for Ultrafast Volumetric Imaging.
Signal Processing & Control Research Group
Location: Highfield Campus
Closing Date: Sunday 08 January 2017
Reference: 676016KR
Project Reference: NGCM-0075
Joining Dr Blumensath and his team at the University of Southampton’s µ-VIS volumetric imaging centre (http://www.southampton.ac.uk/muvis/index.page), 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: thomas.blumensath@soton.ac.uk Tel: +44 (0) 2380 59 3224.
This project is run through participation in the EPSRC Centre for Doctoral Training in Next Generation Computational Modelling (http://ngcm.soton.ac.uk). For details of our 4 Year PhD programme, please see http://www.findaphd.com/search/PhDDetails.aspx?CAID=331&LID=2652
For a details of available projects click here http://www.ngcm.soton.ac.uk/projects/index.html
Visit our Postgraduate Research Opportunities Afternoon to find out more about Postgraduate Research study within the Faculty of Engineering and the Environment: http://www.southampton.ac.uk/engineering/news/events/2016/02/03-discover-your-future.page
Further details:
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Job Description and Person Specification
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