University of Edinburgh's College of Science and Engineering, School of GeoSciences is looking for a 4 year post-doctoral research associate (PDRA) with expertise in geoinformatics and the terrestrial carbon cycle. The post holder will conduct pan-tropical analyses of forest dynamics (e.g., degradation, deforestation, regrowth) and the associated carbon impacts. The post is a core part of the SECO project which combines remote sensing, field work and modelling. As such, this remote-sensing focused post will have access to a large data set of long term in situ data for calibration and validation.
SECO is a 5 year NERC Large Grant which will combine field observations in long term plots, remote sensing, data assimilation and biogeochemical modelling to answer key questions about the size, location and future of the carbon pools in tropical savannas and dry forests. SECO is a global partnership of 22 organisations including, in the UK, the Universities of Edinburgh, Leeds, Sheffield and Exeter, and with collaborators across the global dry tropics.
We seek a PDRA with expertise in geoinformatics and spatial data science to lead the development of the SECO system for diagnosing terrestrial carbon stocks and fluxes, analysing the state and trend of the carbon cycle, and publishing the results in high quality journals. The successful PDRA will join a team including research staff with expertise in plot measurements, remote sensing and modelling/data assimilation, a project manager, data managers, field technicians and several PhD students. As such, although expertise in field data collection and modelling is desirable, for this post we are looking for someone who has experience of remote sensing and geospatial analysis and is excited by the prospect of combining different types of information to understand the carbon cycle of the dry tropics.
The School aims to ensure equality of opportunity and holds an Athena SWAN Silver award. We welcome applications from everyone irrespective of gender or ethnic group. Appointment will be based on merit alone.