Simulating multi-decadal trends in atmospheric composition

Closing Date

29th October 2021

The Research Project

Multi decadal ice-core records of key atmospheric chemical and aerosol species provides us with an important opportunity to evaluate how well new-generation climate-chemistry models perform. Constraining these atmospheric species is an important step in improving the accuracy of the aerosol-cloud-radiation system within our climate models.

In this project, the candidate will use ice-core observations of several key atmospheric chemical and aerosol species, including hydroxyl, dust, organic carbon, black carbon and methane-sulfonic acid to evaluate and test the Australian Community Climate and Earth System Simulator (ACCESS) model with full chemistry.

The candidate will need good computing skills including knowing a programming language such as python and experience working in a UNIX environment and preferably have experience in using large climate data/climate models. Good written and oral skills and an Honours/Masters degree in Atmospheric Science or equivalent STEM field are also required.


Essential Skills:

  • Programming skills such as python
  • Unix environment/bash scripting experience
  • Good communication skills (written and oral)
  • Honours/Masters in Atmospheric Science or other STEM degree with the relevant knowledge (maths, physics, chemistry)

Desirable Skills:

  • Experience handling large data
  • Experience using climate model output (eg. netCDF file formats)
  • Experience running a climate model

Please check the Higher Degree by Research minimum entry requirements.

Application Process

Applicants who require more information or are interested in this specific project should first contact the supervisor, A/Prof Delphine Lannuzel.

Information and guidance on the application process can be found here.

To submit an application for this project, click here.