FERS Summer School: Data science and machine learning for climate research | Application OPEN
09.01.2023
While we are collecting and storing more and more data, understanding and interpreting the underlying processes and relationships between different observations remains a challenging problem. The Future Earth Research School on “Data Science and Machine Learning for Climate Research” aims to provide a comprehensive overview of the mathematical foundations of machine learning, with a particular focus on methods for the analysis of complex dynamical systems. Topics of interest include model reduction, system identification, estimation of associated transfer operators such as the Koopman operator, control, uncertainty quantification, deep learning, but also applications in climate science and sustainability.
Deadline for application: 6th March 2023
For further information on the programme and application process click HERE