We're looking for an experienced and motivated individual to join our interdisciplinary research and development team. As part of a research grant funded by the UK Space Agency (UKSA), you'll be working on rapid information extraction for environmental remote sensing on board spacecraft.
Your work will involve applying lightweight Convolutional Neural Network (CNN) models to multi-spectral satellite imagery to address two Earth observation applications - traffic monitoring and wildfire detection. You'll also be responsible for supporting all aspects of the CNN development, including testing with drone multi-spectral images and real-time deployment on a GPU-based embedded computing platform. Additionally, you'll research and develop appropriate datasets and analysis approaches.