3DTreePrint Fellow: LiDAR Forest Analytics

EURAXESS Ireland; Greater London; Hybrid; GBP 42,000 - 54,000; Full time

Benefits offered by this job

41 Days holiday

Cycle to work scheme

On-Site nursery

On-site gym

Enhanced parental leave

Employee assistance programme

Discounted medical insurance

Job summary

University College London invites applications for a Research Fellow to work on the 3DTreePrint project within ARIA's Resilient Climate and Ecosystems route. The role focuses on processing terrestrial/mobile LiDAR point-cloud data and developing automated workflows to create scalable 3D measurements of trees.

The appointment is full-time, hybrid with on-site requirements, funded until 31 May 2028, starting 1 December 2026.

Qualifications

• PhD in a relevant discipline with substantial computational component.
• Experience processing point-cloud data from terrestrial/mobile LiDAR in vegetation environments.
• Advanced programming skills in Python and/or C++, able to read/adapt broader codebases.

Responsibilities

• Join the ARIA-funded Resilient Climate and Ecosystems route as part of the 3DTreePrint project.
• Process and analyse point-cloud data from LiDAR to create scalable tree measurements.
• Develop automated workflows for 3D structural fingerprinting and ecosystem resilience tracking.

Skills

Point-cloud processing

Python

C++

Education

PhD in computer science/robotics/geomatics/remote sensing/forest science

Tools

Open-source codebases

Job description

University College London invites applications for a Research Fellow to work on the 3DTreePrint project within ARIA's Resilient Climate and Ecosystems route. The role focuses on processing terrestrial/mobile LiDAR point-cloud data and developing automated workflows to create scalable 3D measurements of trees.

The appointment is full-time, hybrid with on-site requirements, funded until 31 May 2028, starting 1 December 2026.