PhD Scholarship @ Antarctic Research Centre, NZ - Machine learning for uncertainties of past ice-volume changes


A fully funded PhD position is available at the Antarctic Research Centre (ARC), Victoria University of Wellington, New Zealand 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 further details about the application, please refer to the scholarships website of Victoria University of Wellington:

Application deadline is 31 Oct 2020

Eligibility Criteria

  • Applicants must have a MSc degree with an excellent grade/GPA.
  • Applicants must have a background in one or more of the following fields:
    • Data Science/Statistical Modelling/Applied Mathematics
    • Marine sediment analysis
    • Paleoclimate reconstructions/Earth Sciences
    • Geochemistry
  • Applicants will need to have basic programming skills (e.g. Python, R, Julia, R, Matlab)

Application process

In order to apply for this scholarship, applicants are required to send the following documentation to Dr Mario Krapp:

  • Cover letter (one page)
  • CV
  • Two references (who will be contacted by us)

Selection process

The successful recipient will be selected by Dr Mario Krapp ( and Prof Tim Naish (, who will also be the student’s principal doctoral advisors. Additional advisors may include A/Prof Robert McKay. Mario and Tim will assist the successful candidate with the Victoria University of Wellington graduate admission process.


For more information please email Dr Mario Krapp:

1 Like