The Faculty of Environmental Sciences and Natural Resource Management (MINA) at Norwegian University of Life Sciences (NMBU) has six vacant 3-year PhD or 2-year postdoctoral researcher (Post.Doc) positions, depending on the qualifications of the applicants. The successful candidates will take part in research in the following research areas:
Forest inventory
- Sampling
- Use of advanced remotely sensed data (including airborne lidar data and hyperspectral data)
Bioeconomic modelling
- Risk and uncertainty
- Development of multi-period, multi-objective forest ecosystem scenario tools
Remote sensing of forest ecosystem resources
- Use of image data from drones
- Use of multi-temporal airborne lidar data
- Use of satellite data from pan-European programs such as COPERNICUS
The successful candidates will be part of a team of researchers in the three projects
“Precision forestry for improved resource utilization and reduced wood decay in Norwegian forests” (PRECISION)
“Changing forest area and forest productivity – Climatic and human causes, effects, monitoring options, and climate mitigation potential” (ForestPotential)
“Novel business models and mechanisms for the sustainablesupply of and payment for forest ecosystem services” (NOBEL)
The projects are funded by the ERA-NET co-fund action “ForestValue – Innovating the forest-based bioeconomy”, the Research Council of Norway and NMBU.
PRECISION concentrates on developing a precision forestry framework for reducing the impact of root rot on the forest resources and thereby improve resource utilization and increase the forest sector value creation. PRECISION is an interdisciplinary research consortium spanning the fields of robotics and forest technology, remote sensing, pathology, silviculture, forest management planning, and economics.
For successful applicants to the postdoctoral researcher positions, the applicant must hold a PhD degree in a relevant scientific area.
The applicants must document relevant competence and interest related to at least one of the research areas stated in the introduction. The required academic qualifications for the five positions as a whole, are listed below. Preferred candidates to the PhD/Post.Doc positions must document their qualifications and experience in one or several of these areas:
- Use of remotely sensed data in forest applications
- Dynamic optimisation
- Computer programming
- Sampling statistics
- Analyses of multi-temporal data
- Data fusion
All positions have the following required academic qualifications:
- Experience with data analyses using R or other statistical computing software
- Experience with the use of Geographical Information Systems.
All positions have the following desired academic qualifications:
- Experience with long-term forest ecosystem management planning
- Experience with vegetation monitoring using multi and hyperspectral data
- Experience with 3D data from lidar or stereo-matched images
For more information, please visit the following link:
6 PhD or Postdoctoral Fellowships, Norwegian University of Life Sciences, Norway (2019)