PhD position in "Forestry: from Remote Sensing to Digital Twins"

We are looking for a candidate PhD to research in the area of remote sensing for forestry applications. The objectives are to find the best tools for mapping tree parameters, from single-tree scale to regional scale.
The successful candidate will work with remote sensing technologies - optical-passive and active sensors like laser scanners and radar (SAR) - and latest artificial intelligence methods for modelling forest variables of interest. She/he will compare existing measurement methodologies used in forestry with estimates from imagery and point cloud data and also investigate on the potential of creating digital twins of forest environments to create eXtended Reality (XR) scenarios with rigorous metrics for educational and research purposes.

Deadline is around 1 september 2022 - Contact: Francesco Pirotti HERE