A new postdoctoral researcher position is available in High-Resolution Vegetation Fuel Modelling for Wildfire Management within the Department of Geography and Environment at Western University, Canada. The research project aims to develop a comprehensive forest fuel modeling framework, leveraging deep learning-based 3D segmentation to extract structural fuel characteristics from high-density point cloud (LiDAR) data. This work will enhance the accuracy and resolution of fuel maps, which are critical for fire behavior prediction and effective wildfire management.

The successful candidate will design, train, and test deep learning models for semantic and instance segmentation of LiDAR data. The research is collaborative, involving Hatfield and Professors Laura Chasmer and Chris Hopkinson. The position is ideal for candidates with expertise in deep learning, 3D data analysis, and environmental applications, particularly those related to wildfire and forest management.

Applicants should hold a PhD in Geography, Environmental Science, Computer Science, or a related discipline. Required skills include experience with deep learning, 3D segmentation, and LiDAR data analysis. Strong programming abilities and a background in forest fuel modeling or wildfire management are preferred. The post does not specify funding details or application deadlines.

For application details, interested candidates should visit the provided link. This opportunity is suited for those passionate about environmental science, geography, and the application of advanced computational methods to real-world ecological challenges.