Scientific Algorithm Developer and Programmer: InSAR
Do you have experience in development or implementation of InSAR algorithms?
The Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET) is a national research centre that uses satellite measurements alongside ground-based observations and geophysical models to study earthquakes and volcanoes, and help understand the hazards they pose.The COMET Directorate is based in the School of Earth and Environment at the University of Leeds, and distributed around 9 universities across the UK.COMET receives long-term strategic funding from the Natural Environment Research Council, working in partnership with the British Geological Survey (BGS) and the European Space Agency (ESA).State-of-the-art Earth observation techniques are fundamental to COMET’s research, particularly Synthetic Aperture Radar Interferometry (InSAR).These have been developed in partnership with the NERC-funded Looking inside the Continents from Space (LiCS) project, in the form of the COMET-LiCS InSAR portal (LiCSAR), which is providing high-resolution deformation data from Sentinel-1 radar images across the globe.In this role, you will develop and implement InSAR processing algorithms in collaboration with the existing scientific teams. This is a particularly important role in the light of the increase in the availability, volume, frequency and quality of Earth observation data since the launch of ESA’s Sentinel-1 satellites in 2014.Although based in Leeds, in this role you will support scientists across our partner universities to access and utilise the LiCSAR facility. In addition, you will liaise with partner institutions such as BGS on the acquisition and processing of InSAR data. You will also work closely with the Facility for Climate and Environmental Monitoring from Space (CEMS) based at Harwell, where the computational infrastructure is based.You will have strong programming skills and experience writing software used in processing, interpreting and presenting InSAR data. In addition, you will need to demonstrate an enthusiasm for scientific research and problem-solving, excellent communication and interpersonal skills, and the ability to work as part of a team.
To explore the post further or for any queries you may have, please contact: Professor Andy Hooper Tel: +44 (0)113 343 7723, email: email@example.com or Professor Tim Wright Tel: +44 (0)113 343 5258, email firstname.lastname@example.org
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