2 PhD positions (m/f/d) In Model-Driven Machine Learning for Climate and Earth Science

Your tasks: develop hybrid methods that combine deep learning with physical models in a Bayesian framework validate new algorithms at using large-scale observational datasets absorb and synthesize knowledge from machine learning, numerical modeling and Earth science write, publish and present your research through scientific journals and conferences Your profile: a master’s degree in...