Lidar Technician

Sylvera

Lidar Technician supporting forest carbon measurement using lidar technology for precise forest carbon data collection. Collaborating with the Field Data Science team for innovative lidar methods.

Posted 7/10/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in processing forest lidar data, including TLS co-registration and ALS pre-processing, while ensuring high-quality data through rigorous quality assurance and attention to detail. Proficient in 3D point cloud tools and GIS, with a solid understanding of forest ecology and a commitment to continuous improvement.

Highest-signal resume keywords

Lidar Data ProcessingTLS Co-RegistrationALS Pre-Processing3D Point Cloud ToolsForest Ecology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Lidar Data ProcessingTLS Co-RegistrationALS Pre-ProcessingAutomatic Tree SegmentationQuantitative Structure ModellingCoding (Python)Quality AssuranceData BackupGISAttention to Detail

Soft Skills

Clear CommunicationTeam CollaborationFocus on Continuous Improvement

Tools & Technologies

CloudCompareQGISRIEGL SoftwareApplanix Software

Industry Keywords

Forest EcosystemsLidar PrinciplesData Acquisition Protocols

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

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

What you’ll need

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).
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.

Benefits

Comp & perks

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