Research Fellow in Remote Sensing and AI

We are seeking an ambitious Postdoctoral Researcher to join the Landscape Observatory at Cranfield, an exciting research initiative developing advanced Remote Sensing and Artificial Intelligence capabilities for environmental monitoring. You will develop and apply state-of-the-art deep learning methods for land cover classification and change detection using multi-source aerial and satellite imagery. Working within an interdisciplinary team and supported by cutting-edge HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at major scientific conferences.

You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have experience developing deep learning models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and geospatial technologies such as GDAL or RioXarray is essential. You should have knowledge of semantic segmentation, time-series analysis and modern AI approaches together with a developing publication record appropriate to your career stage.

Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be advantageous.

You will be a highly motivated researcher with strong analytical and problem-solving skills, excellent communication abilities and a passion for delivering impactful environmental research.

As a specialist postgraduate university, Cranfield's world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here.

The role will be based within Cranfield Environment Centre, which undertakes internationally recognised research focused on understanding and managing environmental change through the integration of environmental science, remote sensing, artificial intelligence, systems modelling and data science. Through initiatives such as the Landscape Observatory, the Centre develops innovative solutions that support environmental monitoring and decision-making at scale. Further information is available at: Cranfield Environment Centre.

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