Applications are invited for a post-doctoral researcher with expertise in image processing or similar computationally focused data analysis techniques who will be tasked with translating and speeding up pre-existing galaxy imaging code for future application to data from the Large Synoptic Survey Telescope (LSST). The successful candidate should have strong computational skills, experience of writing optimized computer programs in python, fortran, c, Julia or similar, and an interest in the technical aspects of interacting with large datasets. They will travel to work with the LSST:UK team in Edinburgh and the Microsoft Azure team in Manchester.

Starting as soon as possible, the appointment may be held at 50% FTE for 9 months, or 100% FTE for 4.5 months. The funding limits the end date of the project to 30th June 2020.

Informal enquiries to Vivienne Wild (vw8@st-andrews.ac.uk) in the School of Physics & Astronomy or Alexander Konovalov (alexander.konovalov@st-andrews.ac.uk) in the School of Computer Science.

Candidates should send a CV, brief (less than 1 A4 page) motivation of interest and contact details for two referees. Referees will be contacted automatically by the University after an application has been received.

The University is committed to equality for all, demonstrated through our working on diversity awards (ECU Athena SWAN/Race Charters; Carer Positive; LGBT Charter; and Stonewall).  More details can be found at http://www.st-andrews.ac.uk/hr/edi/diversityawards/. The School of Physics & Astronomy holds Juno Champion and Athena Swan Silver awards in recognition of their work  to address the under-representation of women in Physics and to embed better working practices for all staff.