Research Assistant in AI-Enabled Species Mapping

We are seeking a motivated Research Assistant to join the FORGE project (Forest Governance through AI-enabled Evaluation of Species Mapping in the Peruvian Amazon). This pioneering research initiative explores how artificial intelligence (AI) and remote sensing can enhance the monitoring of tropical forests affected by illegal and unsustainable logging, contributing to both scientific knowledge and practical conservation efforts.

As a research assistant, you will play a key role in evaluating AI-based image segmentation algorithms designed to identify both common and rare tree species in one of the most biodiverse ecosystems on Earth. Using drone imagery and validated field data, you will assess the accuracy, robustness, and operational value of these algorithms for large-scale forest inventories, supporting the detection and protection of endangered species.

You will collaborate closely with OSINFOR, the Peruvian authority responsible for supervising forest concessions, ensuring that research outputs address practical challenges in biodiversity monitoring and support the enforcement of international conservation agreements such as CITES. This is a unique opportunity to see your work directly contribute to sustainable forest management and species conservation in the Amazon.

We are committed to exploring flexible working opportunities which benefit the individual and University.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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