Research Assistant / Research Associate in Three Dimensional Forest Ecology (Fixed Term)

Applications are invited for a Research Associate to join Dr Emily Lines' UKRI Future Leaders Fellowship project "Next generation forest dynamics modelling using remote sensing data".

This postdoctoral position will make use of three-dimensional datasets already collected and processed from diverse forests in five European countries using terrestrial and drone laser scanning, drone photogrammetry and orthomosaic imagery. The role will leverage this unique dataset to generate new understanding about how the relationship between forest structure and tree diversity varies across biomes.

The successful candidate may also have the opportunity to expand dataset coverage by collaborating with our international partners. Depending on the interests of the successful candidate, the role will focus on either 1) individual allometry, exploring how allometric relationships for tree structural metrics, biomass and leaf area vary by species and biome, or 2) how tree and forest morphology, structural complexity and tree structural plasticity are controlled by stand species composition and competition in contrasting abiotic conditions. Candidates should express their initial preferences within their cover letter, briefly explaining the reasons for their interest and how their previous experiences would inform their approach.

Although we anticipate the role will focus on analysing existing data, we anticipate that the postholder will contribute to short periods of fieldwork in forests in the UK or Europe.

The successful candidate must have, or be about to finalise, a PhD in ecology, environmental science, remote sensing, or other relevant discipline, and this must be submitted by the start of the appointment.

They should have experience working with LiDAR data or other high resolution remote sensing for ecological applications. They must have excellent quantitative and statistical skills, and be a confident computational researcher with a demonstrated commitment to open science standards. They should have excellent written and verbal communication skills, and evidence of successful collaborative work. They must show evidence of the ability to produce and lead high quality collaborative peer-reviewed research outputs commensurate with career stage; we value quality of outputs over quantity in this respect. 

The role will primarily focus on statistical and computational analysis of existing datasets. However, contribution to short periods of field data collection will be expected so field experience is a positive. Candidates will be supported in training needs and will have access to generous project funds for workshops, conferences and travel. They must be highly motivated and should have excellent written, organisational and communication skills, and be able to work well as part of a team. 

The funds for this post are available until 31 October 2027 in the first instance.

To apply online for this vacancy and to view further information about the role, please click 'Apply' above.

Enquiries about the post to Dr Emily Lines: erl27@cam.ac.uk, and about the application process to Mrs Alessandra Uomo: hr@geog.cam.ac.uk.

Interviews are anticipated to take place the week commencing 14 September 2026, or soon after. 

Please quote reference LC50715 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

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