We are seeking a Postdoctoral Research Associate with a PhD in Computer Vision, Computer Graphics, Image Processing, Remote Sensing or a related area.
You will work full time as a computer vision researcher on an exciting interdisciplinary project entitled: ‘Archival Polar Photography – Unearthing the Forgotten Record of Glacier Change’, funded by the Leverhulme Trust. The project aims to extend the record of historical glacier change further into the past by utilising the imagery held in the Scott Polar Research Institute (SPRI) Picture Library – one of the most comprehensive collections of polar imagery in the world. You will collaborate with the SPRI picture library and with Glaciologists and Computer Scientists in York to extract information on the past extent of glaciers and ice bodies in Antarctica and Greenland from archival imagery. By comparing these findings with modern satellite and aerial imagery, the work will extend our record and understanding of changing ice extent back into the past by up to several decades, thus significantly lengthening the current record and aiding our understanding of the changes being experienced by these ice masses.
You will focus on a) selecting and combining existing computer vision algorithms, b) developing new computer vision algorithms and c) implementing systems for i) clustering, geolocating and computing 3D models from the archival imagery as well as ii) registering archival imagery to modern satellite data. The image data is very challenging and you will adapt and develop new methods for working with this data. There will also need to be close collaboration with the SPRI archivists and York Glaciologists in the selection of images and the exploitation of meta-data.
The glaciologists working on the project will drive the scientific direction of the project and pose the glaciological questions of interest. So, you will assist the glaciologists and act as the link between the science and the computer vision technology to enable appropriate quantitative measurements to be made to explain the changes that have taken place between historic and present day imagery. You will take the lead on relevant publications and conference presentations of the computer vision research, as well as assisting in the preparation of glaciological publications.
You will be expected to have a track record of publications in the top venues in your field. For example, if your background is in computer vision, we would expect to see publications in IEEE T-PAMI, IJCV, CVPR, ICCV or similar.
Interest in and enthusiasm for the subject matter of the project and a collaborative ethos
This post is available on a fixed term basis for 30 months. Salary will be£31,604 a year on Grade 6 of the University of York salary scale.
Closing date: 25 September 2018
Interview date: To be confirmed
Vacancy reference: 6965
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