Sylvera is seeking a Lidar Technician to join their Field Data Science team, focusing on processing forest lidar data from terrestrial and airborne laser scanning. The role involves quality assurance, data backup, and collaboration with scientists and field teams to deliver high-quality lidar products at scale. The technician will also support coordination with external partners and occasionally travel for data collection missions.

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.

Requirements

Has experience working with lidar data from forest ecosystems; particularly with TLS co-registration and ALS pre-processing.
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.

Nice to have

Preferably has experience with lidar data collection in forests, automatic tree segmentation and/or quantitative structure modelling.

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