Research Fellow: 3DTreePrint Project (Postdoc)

Euraxess CZ; Greater London; Hybrid; GBP 42,000 - 52,000; Full time

Benefits offered by this job

41 Days holiday (27 days annual leave)

Cycle to work scheme

On-Site nursery

On-site gym

Enhanced maternity/paternity pay

Employee assistance program

Discounted medical insurance

Job summary

University College London (UCL) is seeking a Research Fellow to join the ARIA 3DTreePrint project in the Geography department. The role focuses on processing LiDAR point-cloud data, developing scalable workflows, and collaborating with partner organisations to quantify forest structure for resilience studies.

The candidate should hold a PhD in a related field or be close to submission, with strong Python/C++ programming skills and experience with point-cloud processing in vegetated environments.

Qualifications

• PhD awarded or near submission in a related field with substantial computational work.
• Extensive experience processing point-cloud data from terrestrial/mobile LiDAR.
• Advanced programming skills in Python and/or C++, ability to adapt open-source code.

Responsibilities

• Work on ARIA's 3DTreePrint project to process LiDAR data.
• Develop and test computational workflows for 3D tree measurements.
• Collaborate with Forest Research and partners; report findings.

Skills

Point-cloud processing

Python

C++

Education

PhD in Geomatics/Computer Science/Remote Sensing

Job description

Organisation/Company University College London Department Geography Research Field Technology » Remote sensing Agricultural sciences » Forest sciences Environmental science » Earth science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 23 Oct 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Permanent Job Status Full-time Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Ref Number: B03-03278

Professional Expertise: Research and Research Support

University College London (UCL) is one of the world's top universities. Based in the heart of London, it is a dynamic, outward-looking institution. At its establishment in 1826, UCL was radical and responsive to the needs of society, and this ethos – that excellence should gohand-in-handwith enriching society – continues today.
The UCL Department of Geography is a leading UK and global department, with a heritage of excellence in research, renowned for its innovative and interdisciplinary research to understanding complex global challenges. It brings together expertise in physical and human geography to explore critical issues such as climate change, sustainable development, and social justice. The department fosters an interdisciplinary approach, equipping students and researchers with the skills to critically engage with the complex interactions between people, places, and environments.

About the role

This post sits within ARIA's The Resilient Climate and Ecosystems opportunity seed route. ARIA (Advanced Research + Innovation Agency) is a UK research funding agency that supports ambitious research at the edge of the possible. Its opportunity spaces identify underexplored areas where new scientific and engineering capabilities could lead to major breakthroughs. This post sits within the ARIA's The Resilient Climate and Ecosystems opportunity seed route. Opportunity seeds provide funding of up to £500,000 for individual research teams to pursue high-potential, early-stage ideas aligned with an opportunity space but outside the scope of a larger programme. The seed mechanism is intended to give research teams the flexibility to explore new technical pathways that might otherwise fall between conventional funding routes.
We are seeking a research fellow who will join the team and will work on the 3DTreePrint project led by Dr Martin Mokroš at UCL Geography. The 3DTreePrint project pairs low-cost LiDAR with automated workflows to make detailed 3D measurement of trees affordable, repeatable and scalable, building “3D structural fingerprints” to track ecosystem resilience over time. Main partners of the project are Forest Research, Forestry England, Earthwatch Europe and Polish Academy of Sciences.
The full job description and person specification can be accessed at the official website: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=48546&j… .
This is a full time, fixed term post with funding available until 31 May 2028. The appointment is available to start on the 1st of December 2026. Funding is available at Grade 7, spine point 32 (including London Allowance).
Informal enquiries may be made to Dr Martin Mokroš ( [e-mail] )

About you

The successful candidate will have a PhD (awarded or close to submission) in computer science, robotics, geomatics, remote sensing, forest science or a closely related discipline, with a substantial computational component.

You will also need to demonstrate :

• Substantial experience of processing point-cloud data from terrestrial and/or mobile laser scanning in forest, woodland or other structurally complex vegetated environments.
• Advanced programming skills in Python and/or C++, including the ability to read, adapt, extend, debug and test existing open-source codebases rather than only applying them as supplied.

Please see the full job description and person specification at the bottom of this page full more information.

This role is eligible for hybrid working with a minimum time in site to be determined between successful candidate and line manager. We will consider applications to work on a flexible and job share basis wherever possible.

This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:

• 41 Days holiday (27 days annual leave plus 8 bank holiday and 6 closure days)
• Cycle to work scheme and season ticket loan
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance

Our commitment to Equality, Diversity and Inclusion

The Department is committed to the values of equality, diversity and inclusion and we have an activeEquality, Diversity and Inclusion Committee, and networks for BME, LGBTQ, anddisabled/neurodiverse staff and students. The Department recognises the importance of family-friendlyworking, and we try, as far as possible, to organise meetings and events with staffresponsibilities as parents and carers in mind. In 2022, the Department was awarded an AthenaSWAN Silver award in recognition of our advancement of gender equality: representation, progression,and success. Above all the Department aims to be a supportive environment for both its staff and students. More information can be found here: https://www.ucl.ac.uk/social-historical-sciences/geography/about/equality-diversity-and-inclusion
The ARIA 3DTreePrint Research Fellow - Job Description in pdf format can be found on the official website advertisement on the bottom of the page: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=48546&jobTitle=Research+Fellow%3A++3DTreePrint+Project