Research Associate Ice Sheet Modelling and Data

2 weeks ago


Hobart, Tasmania, Australia University of Tasmania Full time

Job no: 498409

Work type:
Full time

Location:
Hobart

Categories:
Research Focused

Research Associate Ice sheet modelling and data science

  • Full time Fixed term until 31 Dec 202
  • Based in Hobart
  • Lead a datadriven assessment of the East Antarctic Ice Sheet as a whole in ACEAS Program

The Opportunity


The Australian Centre for Excellence in Antarctic Science (ACEAS) is a major $25M Special Research Initiative of the Australian Research Council.


The goal of ACEAS is to help the world community prepare for climate risks emerging from East Antarctica and the Southern Ocean by integrating knowledge of the ocean, atmosphere, cryosphere and ecosystems, and their interplay.

ACEAS is a national-scale, University-led centre for excellence in Antarctic science focused on this goal.

Key Accountabilities:

  • Simulate or emulate the East Antarctic Ice Sheet using numerical modelling or deep learning.
  • Develop quantitative, wellconstrained projections of the East Antarctic Ice Sheet and its contribution to sea level rise.
  • Quantify ice sheet stability and rank catchments across East Antarctica according to their susceptibility for rapid retreat.
  • Identify climaterelated vulnerability and tipping points.
Regardless of the specifics of your project, you'll be expected to:

  • Maintain a strong focus on communicating research findings by publishing in highly ranked journals and presenting to peers at local, national and international conferences.
  • Take on leadership opportunities that arise and contribute to the collegiate life of ACEAS and IMAS, such as contributing to PhD supervision, committee membership, and leading workshops and/or working groups.
  • Undertake other duties as assigned by the supervisor.

Your Application

  • A PhD in computer science, applied maths, physics, engineering, geophysics, glaciology or a related field.
  • Expertise in numerical ice flow modelling or quantitative data science, as demonstrated through a record of publications in scientific journals of international standard.
  • Strong scientific interest in ice sheet dynamics.
  • Ability to solve scientific problems with technical solutions.
  • Ability to work independently as well as efficiently in a team that pursues shared goals.
  • Desire to work collaboratively in a large research programme that covers multiple disciplines.
  • Excellent written and communication skills.

Remuneration

COVID-19 Update:


The University of Tasmania recognises that this is critical for the workforce at the University to protect the safety of our workforce and vulnerable Tasmanians.

Applicants for this role must be prepared to provide evidence of Covid-19 vaccination as a condition of employment.

How to Apply

  • Please refer to the attached Position Description below for full details.
  • Resume
  • Cover letter outlining your suitability and motivation for the role
  • Your responses to the success criteria from the Position Description below

Applications close Monday, 13 March 2023, 11.55pm

Advertised: 09 Feb 2023 Tasmania Daylight Time

Applications close: 13 Mar 2023 Tasmania Daylight Time
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