PhD Scholarship

Applications are open for a fully funded PhD position in Remote Sensing for Climate-Smart Agriculture at Aarhus University, Denmark , within the Department of Agroecology and the Pioneer Center Land-CRAFT . This project focuses on developing novel remote sensing algorithms and knowledge-guided machine learning frameworks to monitor crop nitrogen, agroecosystem productivity, and greenhouse gas fluxes for climate-smart agriculture. The work combines hyperspectral, solar-induced fluorescence, multi...

University of Exeter is advertising a fully funded PhD in Computer Science / Machine Learning with Earth Observation for forest-related applications . The project sits in the Department of Computer Science, Faculty of Environment, Science and Economy, and is linked to DASOS’ Vision Group and the Centre for Environmental Intelligence . The research focuses on advancing algorithms for large-scale Earth Observation and LiDAR data to improve forest monitoring. The project highlights methodological w...

One full scholarship is available in the School of Geography, University of Leeds for 2026/27 . This is a postgraduate research opportunity focused on satellite monitoring of desertification , with a particular emphasis on the degradation of grasslands and the development of new methods for environmental monitoring. The project will explore how to map new variables using some of the latest satellite sensors and drones , combined with innovative image classification algorithms . It will study gra...

ANU-CSIRO is offering a fully funded PhD scholarship in digital agriculture , AI , and machine learning at the Australian National University in Australia. The project focuses on machine learning approaches for developing farm emulators using APSIM , remote sensing , spatial data , and deep learning to build real-time decision support tools for farmers. The research aims to create an AI-powered crop prediction emulator that can help prioritize field management decisions across paddock, farm, reg...

DTU Compute is offering a PhD scholarship in Causal-informed Machine Learning Methods for Climate Modelling as part of the newly started IcyAlert project. The project focuses on improving predictions of Arctic ice-free summers and their potential climate impacts at multi-seasonal time scales using global climate models , causal analysis , and machine learning . This makes the opportunity especially relevant for candidates interested in the intersection of computer science , environmental science...