Two PhD or postdoctoral fellowships within Forest Inventory

Norwegian University of Life Sciences
October 02 2017
Position Type
Full Time
Organization Type

The Faculty of Environmental Sciences and Natural Resource Management (MINA) at the Norwegian University of Life Sciences (NMBU) has two vacant positions. One is a 2-year postdoctoral researcher position within forest inventory. The second is a 2-year postdoctoral researcher position or a 3-year PhD-position within forest inventory, depending on the qualifications of the applicants. The positions will be funded by NMBU and the ERA-NET Cofund ERA-GAS for Monitoring and Mitigation of Greenhouse Gases from Agri- and Silviculture through the Research Council of Norway.

The Faculty of Environmental Sciences and Natural Resource Management (MINA) has about 200 employees and undertakes teaching, research and dissemination within the fields of geology, soil science, environmental chemistry, forestry, ecology, natural resource management, renewable energy, nature based tourism. The faculty has ca. 600 students, and approximately 90 PhD-students. The employees of the faculty are significant participants in their respective fields of expertise, both nationally and internationally and have a high level of scientific production. For more information:

Research project

The two successful candidates will be an integral part of the project “Mobilizing and Monitoring Climate Positive Efforts in Forests and Forestry (FORCLIMIT)”. Project startup will be during autumn 2017. The project is a collaborative effort of six partner institutions and is coordinated by MINA. MINA's main focus in the project will be on quantification of total uncertainty and different sources of uncertainty in local and regional forest carbon pool estimates produced by combined use of forest field surveys and remotely sensed data from airborne laser scanning (ALS).

Main tasks

Based on extensive use of already established empirical datasets with geographically and temporally coincident observations of forest biophysical properties in samples of ground observations and data from ALS, the main tasks will be

  • quantification of contribution of different sources of uncertainty on carbon emission estimates using model-based statistical estimators and computer simulations (Monte Carlo and sampling simulations),

  • assessment of properties of model-based and model-assisted statistical estimators applied to change estimation for different forest carbon pools and at different geographical scales, and

  • to explore ways of utilizing ALS data for classification of forest (silvicultural) treatments, which can be associated with meaningful climate mitigation actions in forestry.

If one of the successful candidates is a PhD student, the student must submit a PhD education plan to be approved by MINA within the first months of appointment, and the PhD must be completed within the PhD scholarship period.

For further information and application, please see:

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