PhD fellowship in Machine Learning for Environmental Sciences - Department of Computer Science, Machine Learning Section
University of Copenhagen
Denmark
Summary
Fully funded PhD developing novel machine learning methods for ecosystem modelling using remote sensing and ground data to estimate greenhouse gas fluxes. Interdisciplinary focus on deep learning, hybrid and self-supervised methods; Python/PyTorch required.
