Research Assistant: Scanning Together Project

Ref Number
B03\-03261
Professional Expertise
Research and Research Support
Department
UCL SLASH (B03\)
Location
London
Working Pattern
Full time
Salary
See advert text
Contract Type
Fixed\-term
Working Type
Hybrid
Available for Secondment
No
Closing Date
23\-Sept\-2026
About us
------------

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 go hand\-in\-hand with enriching society – continues today.

The UCL Department of Geographyis 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
------------------

We are seeking a research assistant who will join the team and will work on the Scanning Together project led by Dr Martin Mokroš at UCL Geography, funded by the National Centre for Earth Observation (NCEO). We will be collaborating with a sister project, Scanning4Africa, led by Prof. Maria Santos at the University of Zurich. Scanning Together puts prototypes of low\-cost mobile laser scanners into the hands of local teams across Africa, trains them to use the instruments, and builds the shared data and processing capacity that lets those teams measure their own forests in 3D. With the main goal to set new era of monitoring that is led by local foresters and farmers.

The main purpose of the role is to run the processing chain from raw scans to published data. The post holder will pre\-process incoming data using the open\-source HDMapping SLAM software, then apply and compare processing algorithms to extract individual tree parameters and to perform semantic and instance segmentation of the point clouds. Processed data and derived products will be published using the 3Dtree.earth platform or as interactive Potree viewers so that partners, collaborators and the wider community can explore them directly.

The full job description and person specification can be accessed at the bottom of this page.

This is a fulltime, fixed term post with funding available until 31st March 2027.The appointment is available from 1stOctober 2026\. Funding is available at Grade 6B, spine point 25\-28 (including London Allowance).

Informal enquiries may be made to Dr Martin Mokroš (m.mokros@ucl.ac.uk)

If you have any queries regarding the application process, or if you need reasonable adjustments or a more accessible format to apply for this job online, please contact the department’s research administration team: geog.research@ucl.ac.uk

About you
-------------

The successful candidate should have :

• Master’s degree (or equivalent experience) in remote sensing, geomatics forestry, environmental science, computer science or a closely related discipline.


• Practical experience of working with 3D point\-cloud data from laser scanning or photogrammetry, including inspection, filtering and quality assessment.


• Working knowledge of forest structure measurement and basic forest inventory concepts, such as diameter at breast height, tree height, crown dimensions and plot\- based sampling.

*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 visithttps://www.ucl.ac.uk/human\-resources/conditions\-service\-research\-teaching\-and\-professional\-services\-stafffor more information.*
What we offer
-----------------

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 active Equality, Diversity and Inclusion Committee, and networks for BME, LGBTQ, and disabled/neurodiverse staff and students. The Department recognises the importance of family\-friendly working, and we try, as far as possible, to organise meetings and events with staff responsibilities as parents and carers in mind. In 2022, the Department was awarded an Athena SWAN 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

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