PhD Scholarship - Machine learning for uncertainties of past ice-volume changes

A fully funded PhD position is available at Victoria University of Wellington’s Antarctic Research Centre (ARC), to use Machine Learning methods for improving our understanding of uncertainties of past ice-volume and global temperature inferred from geological proxy records. The successful candidate will be hosted by the ARC and collaborate with a large number of international scientists and graduate students from the ARC, GNS Science, and the Antarctic Science Platform. Being part of the new and exciting National Modelling Hub, the candidate has access to excellent technical support, high-performance computing, statistical modelling, climate modelling, and to collaborations with the University’s Data Science Programme.

For more information click here or contact Dr Mario Krapp m.krapp@gns.cri.nz