|From||Roger Brugge <email@example.com>|
|Date||Wed, 19 Jul 2017 08:55:31 +0000|
Postdoc in remote sensing of wildfire disturbance-recovery dynamics in southern Siberia University of Leicester Kirsten Barrett, PI http://www.jobs.ac.uk/job/BCW367/postdoctoral-research-associate/ Job Purpose: To combine data from earth observation satellites and field observations in an explanatory framework for understanding recruitment failure post-fire in Siberian boreal forests, and incorporating this information in a model of land surface conditions and ecosystem greenhouse gas fluxes. Principal Responsibilities: • Technical development and production of a system for detecting post-fire recruitment failure remotely, using input from earth observation imagery and field observations. • Collection of field data to validate data products, determine causes of recruitment failure and consequences for land surface exchanges of greenhouse gases. • Collaboration with another post-doc (and the investigator team), who will develop the explanatory model of recruitment failure. • Work closely with members of the Sukachev Forest Institute, Krasnoyarsk, combining existing extensive forest datasets with additional data collected in the field. Field work (ca. 90 days) will be undertaken from the Sukachev Institute, with their logistical help, in a region of forest and steppelands in Siberia, Russia. • Demonstrate the suitability of the solution for recruitment failure detection for project partners and the broader academic community. Essential Qualifications • PhD in a relevant area of geography or environmental science • Broad knowledge of remote sensing data and techniques for studying ecosystems • Combining information from earth observation satellites and field observations • General familiarity with ecological models • Relevant fieldwork, preferably in remote environments • Programming skills, preferably in Python, R or another open source environment
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