Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via

Job advertisement Postdoctoral Research Associate in Modelling ocean wave–sea ice interactions

EGU logo

European Geosciences Union

Postdoctoral Research Associate in Modelling ocean wave–sea ice interactions

Postdoctoral Research Associate in Modelling ocean wave–sea ice interactions

University of Adelaide logo

University of Adelaide


Adelaide, Australia


Relevant divisions
Cryospheric Sciences (CR)
Nonlinear Processes in Geosciences (NP)


Entry level

AUD $88,286 to $94,588 per annum, plus an employer contribution of up to 17% superannuation

Required education

Application deadline
11 October 2020

13 September 2020

Job description

Sea ice is experiencing dramatic changes in response to rising temperatures, which is having a profound impact on its role in the climate system. Storm waves are recognised as having a crucial impact on sea ice. Waves propagate 100s of kilometres into the ice-covered ocean, where they break-up the ice cover into small floes, and create a highly dynamic region known as the marginal ice zone. Modelling wave–ice interactions is particularly challenging because the ice cover strongly influences wave propagation, as well as the waves impacting the ice cover. Over the past decade, several major international field programmes have been conducted to study wave–ice interactions. The data generated is providing the basis for modelling breakthroughs.

We are seeking a Postdoctoral Researcher to drive the next steps in modelling nonlinear wave propagation through sea ice, wave-induced ice breakup, and resulting ice dynamics. The project involves mathematical modelling, implementation in large-scale prediction models, and assessments against field measurements. The successful candidate will interact with an international team spanning Australia, New Zealand and the USA. Opportunities are available for domestic and international travel, to participate in conferences and for research visits.

You will need:

  • A recent PhD in Applied Mathematics or a related field.
  • A record of research achievements.
  • Proficiency with programming languages.
  • Good interpersonal and communication skills.
  • Commitment to the principles of equity, diversity and inclusion.