Data Analysis Scientist – Machine Vision

Website DiamondLightSou Diamond Light Source

Business Area: Science
Division: Life Science
Salary range (Full Time): £32,805 to £38,593 per annum (Discretionary range to £44,382)
Post Type: Full time / Fixed term
Term: 3 years
Closing Date: 31/07/2018
Ref No: 10006

We are looking for a Machine Vision specialist to join our dynamic scientific software group to apply these techniques to the data collected from imaging experiments at Diamond. Initially the role will be to extend the work Diamond has already done with machine vision techniques to classify areas of complex biological volume data with the SuRVoS Application. The role will develop further though to make the most of our established links with the UK machine vision community as well as new opportunities with groups such as the Alan Turing Institute.

You will work within a small team, within the scientific software group of experienced software scientists and engineers and will work with our scientists to identify and define requirements for data analysis applications which you will ensure are implemented in a timely and effective way.

The work may also involve enhancing and supporting the other software which the data analysis group develops, such as our core data analysis workbench (DAWN) and the tomography pipeline Savu. Both DAWN and Savu are an Open Source project so there will be opportunities to work with collaborators at other similar facilities worldwide.

Information on the Data Analysis Group Software

Other information

Where appropriate for the role, we will consider flexible working arrangements and secondment opportunities (e.g. for fixed-term contract positions).

Diamond are members of the Employers Network for Equality & Inclusion and we have achieved the Athena SWAN Bronze award and Disability Confident Level One. Women are underrepresented and so we particularly welcome applications from suitably qualified women.  If you are disabled and would like to be considered under the Guaranteed Interview Scheme, please let us know via the online application process.

To apply for this job please visit