Research Assistant in Data Processing AI-Enabled Tree Species Mapping

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We are inviting applications for a Research Assistant to support the following project Next‑Generation Forest Inventory (Next Gen‑FI):
Open‑Set Recognition for Monitoring Illegal Logging (Next Gen‑Fi). The post will contribute to the development and validation of unique Unpiloted Airborne Vehicle [UAV] datasets. The work will focus on UAV data management, orthophoto optimisation and generation, and output coding. Datasets will be shared with the project team. The successful candidate will work with academic and stakeholder partners to generate model‑ready UAV datasets and develop evidence to support the evaluation of AI and machine learning models.

This may include investigating data‑centric AI strategies, such as data quality assessment, annotation refinement, dataset curation, and augmentation, alongside conventional model evaluation. The role will also involve documenting methods and results for project deliverables, reports, and publications.

The post is suited to candidates with either a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV data generation protocols and outputs.

The post is for the duration of 12 months and for a maximum of 20 hours per week.

• Work with stakeholders to manage and secure UAV flightline data
• Undertake secure data management for all UAV data transferred from stakeholders
• Generate automated flight-line processing protocols for UAV data ingestion in Agisoft Metashape
• Process and code multiple UAV flight-line datasets using Agisoft Metashape for input into both AI and ML models
• Work collaboratively with academic and stakeholder project partners, present progress, and maintain clear technical records, code, data and documentation.
• Contribute to project deliverables for Next Gen-Fi Workpage One.
• Contribute to dissemination activities, including preparation of technical reports, conference or journal papers.
• Carry out other duties, commensurate with the grade and remit of the post

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and are respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

A MSc., PhD awarded, or working towards a PhD degree in Geography, Computer Science (or equivalent experience)

Experience in modelling, simulation or analysis of geospatial data, e.g. using R, Matlab, Arc Pro, QGIS, python or similar

Experience using UAV software or programming tools such as Agisoft Metashape, Pix4D or similar

Awareness/knowledge of AI and ML methods and approaches for tree and/or species mapping

Good written and verbal communication skills, including experience writing reports and presenting your findings