Sort by
Refine Your Search
-
Fellow in Remote Sensing and Geospatial Intelligence There is a vacancy for a PhD Research Fellow in remote sensing and geospatial intelligence at the Department of Earth Science and the Bjerknes Centre
-
1st October 2025 Languages English English Norsk Nynorsk English PhD Research Fellow in Remote Sensing and Geospatial Intelligence Apply for this job See advertisement UiB - Knowledge that shapes
-
and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, mathematics signal processing or physics, and a PhD in
-
and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, mathematics signal processing or physics, and a PhD in
-
explicit multifunctionality model and the parameterisation of this using a combination of open remote sensing data, ecological plot level data and social science data from European agricultural landscapes
-
multifunctionality model and the parameterisation of this using a combination of open remote sensing data, ecological plot level data and social science data from European agricultural landscapes, including the 6
-
) period—primarily driven by natural climate variability—with contemporary retreat patterns influenced by anthropogenic climate change. The research will combine advanced remote sensing techniques with ultra
-
combination of in-situ and remote sensing observations, as well as climate and snow models of varying complexity, the impact of blowing snow on local and regional scales. The PhD candidate will produce mass
-
the surface mass and energy balance of coastal ice caps in Norway, utilising a combination of in situ and remote sensing observations. The PhD candidate will develop and deploy a comprehensive field
-
of snow across catchment and regional scale areas. The PhD candidate is expected to quantify, through a combination of in-situ and remote sensing observations, as well as climate and snow models of varying