A post-doctoral Research Associate in Glaciological Image Analysis is requested to join the Department of Environment and Geography at the University of York. The 2.5-year, full time, position is funded by the Leverhulme Trust to work on a project entitled: ‘Archival Polar Photography – Unearthing the Forgotten Record of Glacier Change’.
The Research Associate will conduct research and take a leading role in this exciting 2.5 year project which links state-of-the-art computer vision techniques, archival research and glaciology in order to extend the record of historical glacier change further back into the past by utilising historical imagery from the early days of polar exploration, held in the Scott Polar Research Institute (SPRI) Picture Library (Cambridge) – one of the most comprehensive collections of polar imagery in the world. The successful candidate will be a glaciologist and will collaborate with the SPRI picture library and with 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.
The successful candidate will focus on the identification and selection of relevant imagery, and then on exploring, quantifying and explaining the changes that have taken place between these older images and the present day. They will take the lead on relevant publications and conference presentations, as well as facilitating direct access to the resultant data by other scientists.
The successful candidate will have a first degree and a Ph.D. in appropriate disciplines such as Geography, Geology, Earth Science, Glaciology, Remote Sensing. The person will have experience of working with remote sensing and GIS data/imagery, and will have knowledge and expertise of relevant tools and software packages (e.g. ArcGIS, QGIS, ENVI, Imagine). Programming experience is also advantageous (e.g. Matlab, R, Python), though not essential, but learning such skills may be necessary as part of the role. The successful applicant will also be expected to present key findings in high impact academic journals and to present at national and international conferences. The post will involve working with partners in the Department of Environment and Geography, the Department of Computer Science (York) and at the Scott Polar Research Institute (Cambridge) and so being able to work as part of a team as well as independently using own initiative is crucial.
Please direct any informal queries to David Rippin (firstname.lastname@example.org)
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