sylvera - Lidar Technician
Requirements
• Gets excited to build the most accurate and comprehensive forest carbon maps ever, from multi-scale lidar data collected all across the world, using advanced tech. • Has experience working with lidar data from forest ecosystems; particularly with TLS co-registration and ALS pre-processing. • Preferably has experience with lidar data collection in forests, automatic tree segmentation and/or quantitative structure modelling. • Is proficient with 3D point cloud tools (e.g. CloudCompare), QGIS and has coding experience (ideally Python). Wants to stay up-to-date on new developments in the scientific lidar community. • Has strong attention to detail and cares about high quality data processing. • Has a good understanding of forest ecology, GIS, and lidar principles. • Is willing and able to travel internationally for a couple of weeks on end on occasion. • Cares deeply about the climate and ecosystems of the earth. • Is a self-starter who thrives in constantly evolving environments, ideally with early-stage experience. • We’d like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description
Responsibilities
• Processing of forest lidar data collected by our field team, including co-registration of terrestrial laser scanning (TLS), and pre-processing of airborne laser scanning (ALS) data, using a mix of in-house and manufacturer (RIEGL, Applanix) software. • Quality assurance of individual tree segmentation from TLS data. • Rigorous, punctual and consistent backup of large lidar datasets, and working together with the lidar scientists, engineers and the field team for fast delivery of high-quality lidar products at scale. • Continuously improving our lidar tech; keeping track of developments in science and industry. • Supporting day-to-day coordination with external partners, with clear communication and a focus on continuous improvement. • Occasional travel to join data collection missions, test new hardware or data acquisition protocols, and train the field team.
Benefits
• Equity in a rapidly growing startup • Private Health Insurance and Life Assurance • Unlimited annual leave - and encouragement to actually use it! • 4 weeks/year work from anywhere • Access to Mental Health support • Office bar tab once a month • Weekly drinks in the office • Catered lunch once a month in office • Monthly Deliveroo/equivalent allowance once a month • London, Old Street. We foster hybrid working and require you to physically attend all 1-2-1, retros and divisional meetings in person. • Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. • Stay curious: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. • Do what’s right - even when it’s hard: We keep our focus on the long-term, even if that means short-term challenges. • Collaborate with empathy: Our teams deliver through active collaboration. We invest in each others’ success and make the company stronger in the long-run. • Empower Customers - Make extraordinary efforts to exceed our customer expectations. If we’re serving our customers to the fullest, we can help direct more investment into real climate impact. • What if you’re a partial fit? 🌱 • We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. • Equal employment opportunity 🌈
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