Full Time
The appointment will be on UCL Grade 7. The salary range will be £35,328 - £37,345 per annum, inclusive of London Allowance.
In this project, we plan to develop rapid methods of assessing the anatomy and physiology using rapid imaging techniques and to use machine learning techniques to rapidly reconstruct heavily accelerated MR acquisitions. The appointee's main aims will be to modify and develop machine learning reconstruction methods for cardiovascular MR sequences to progress rapid methods of MR imaging.
The postholder will be part of a multi-disciplinary group made up of MR Physicists, MR Physics PhD students and clinical academics. The group collaborates with the MR scanner manufacturer and has access to the cardiovascular pulse-programming environment.
The appointment is funded to 31 May 2020 in the first instance.
Candidates will have a PhD in a relevant subject area, or be in the final stages of writing up their thesis. They will demonstrate a high level of interest in the academic aspects of Imaging or Machine Learning with exposure to different research methods, together with experience in MR Reconstruction or Maching Learning with practical applications. An understanding of the basics of MRI and Machine Learning is essential.
For further details about the vacancy and how to apply online please go to
https://www.ucl.ac.uk/human-resources/working-ucl/jobs-ucl and search on Reference Number 1744462
If you have any queries regarding the vacancy please contact Dr Vivek Muthurangu (
[email protected] ); for queries on the application process, contact
[email protected] .
Closing Date: 26 September 2018
Latest time for the submission of applications: 23:59.
Interview Date: TBC
UCL Taking Action for Equality
We will consider applications to work on a part-time, flexible and job share basis wherever possible.
Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
To apply click here
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041178&ownertype=fair&jcode=1744462
