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July 2017
Message 65

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[Met-jobs] 2-year postdoc in remote sensing of wildfire disturbance-recovery dynamics in southern Siberia at Leicester

From Roger Brugge <r.brugge@reading.ac.uk>
To "met-jobs@lists.rdg.ac.uk" <met-jobs@lists.reading.ac.uk>
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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