LiDAR-UAV Scientist

This position is part of the Timberlands Science & Technology (S&T) organization and reports to the Remote Sensing Manager, part of the Advanced Forestry Systems platform. The LiDAR/UAV Scientist at Weyerhaeuser is a member of the Remote Sensing team and partly responsible for the acquisition, processing, and analysis of airborne and close-range remote sensing data to support Timberlands business decisions. Supporting the acquisition of aerial LiDAR data for internal inventory programs is a core responsibility for the role. This role requires expertise in LiDAR, UAV operations, and digital photogrammetry, along with proficiency in remote sensing and geospatial technologies. This is a hybrid in-office position (work in the office Tuesday-Thursday). The preferred location for this role is Centralia, WA. Will also consider candidates to work from Hot Springs (AR), New Bern (NC), Springfield (OR), Vancouver (WA). Essential Job Functions: - Participate in acquisition and management of LiDAR, aerial imagery, and UAS data in collaboration with Technology and Timberlands teams. - Generate, process, and maintain remote sensing datasets and LiDAR-derived products with rigorous quality control. - Design and enhance decision support tools integrating multi-temporal and multi-spectral remotely sensed data (from active and passive sensors). - Apply remote sensing principles and develop analytical techniques to solve operational problems and improve data applications. - Develop advanced image and signal processing code for feature extraction, classification, and machine learning algorithms. - Support training, and expert input on UAS systems, LiDAR data, and remote sensing strategies. - Prepare and review technical reports, present findings, and support strategic planning with the RS unit manager and stakeholders. - Conduct scientific analyses by correlating remote sensing data with ground truth and modeled results, supporting company objectives through modeling and documentation. - Participate in the development of strategies related to LiDAR, UAV and Terrestrial sensor technology and data collection. - Field work and business travel are required. Driving safety vehicles in forest roads is considered.