Third-cycle subject: Applied and computational mathematics The project focuses on applying optimal transport and gradient flows to machine learning and optimization applications, such as deep generative models, sampling, inference, stochastic optimization, and beyond. The doctoral student will develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infin…