PhD in Remote Sensing of Vegetation Structure in Landscapes under Transformative Change
Aarhus University’s Graduate School of Natural Sciences is offering a PhD position in remote sensing of vegetation structure in landscapes under transformative change.
The project is available from February 2025 or later within the Biology programme, supervised by Professor Signe Normand and Tenure Track Assistant Professor Fabian Daniel Schneider.
Project focus
The PhD project aims to understand the spatial scaling, fragmentation, and dynamics of vegetation structure across natural and human-modified landscapes in Denmark and Europe.
The goal is to quantify the multiscale variation of vegetation structural diversity, with the potential to study temporal dynamics.
A wide range of methodologies may be applied, including:
- Airborne, UAV, or mobile lidar
- Spaceborne radar
- Structure from motion (UAV)
- Deep learning / AI approaches for vegetation structure analysis
The position contributes to the Center for Landscape Research in Sustainable Agricultural Futures (Land-CRAFT) and will be part of the Section for Ecoinformatics and Biodiversity (ECOINF), Department of Biology.
Candidate profile
Applicants are expected to hold a Master’s degree in ecology, geoscience, geography, or biology, with experience in one or more of the following:
- Geospatial and statistical analyses of ecological or remote sensing data
- Programming (e.g., Python, Matlab, or R)
- Remote sensing (vegetation lidar or radar preferred)
- Functional ecology or biogeography
Strong writing skills, interdisciplinary collaboration, and enthusiasm for sustainability and biodiversity research are essential.
How to apply
- Deadline: 1 November 2025 at 23:59 CET
- Apply via phd.nat.au.dk
The hired PhD student will be based in Aarhus, Denmark.