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Research Associate in Computational Physics (Geophysics)

Apply now Job no: 496753
Work type: Full time
Location: Hobart
Categories: Research Focused

Research Associate in Computational Physics (Geophysics)


  • Full time, 3 year fixed term position
  • Based in Hobart
  • Showcase your postdoctoral and research knowledge and experience.


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.


ACEAS is led by the University of Tasmania with a range of Australian and International Partners (


The Opportunity

Commencing in early 2022, the Research Fellow will contribute to ACEAS Program 1 — Circum Antarctic and East Antarctica, which addresses the overarching question: “How can shifts in carbon, heat and moisture transport in the Antarctic and Southern Ocean system be better constrained to improve projections of future climate and sea level changes?”, focusing on the following aims:

a) Use geophysical data to provide a better constraint on future sea level rise projections; and

b) Assess risks to the effective prediction of changes to ice mass that arise from interactions and feedbacks between systems, and instability and threshold changes.


Key Accountabilities:

  • Carry out research using computational approaches to progress the understanding of interactions between Earth systems in East Antarctica, with a focus the evolution of glaciers and ice mass change, in the interdisciplinary context.
  • Communicate results through oral presentations, scientific journal articles and adhere to FAIR data management principles.
  • Participate in Antarctic fieldwork and/or data processing.
  • Co-supervise related research projects at the Honours and/or HDR level.


Your Application

To be successful in the role, your application will need to demonstrate;

  • A PhD, or equivalent postdoctoral experience, in a relevant area (e.g., computational methods, geophysics applied to Antarctica, or similar).
  • A good record of, and continuing commitment to, research that has international recognition and made worthwhile contributions to the field of computational geophysics and/or related disciplines, and/or Antarctic research.
  • Expertise in research software development and/or usage, and data analysis with applicability to Antarctic research questions.
  • Experience in performing geophysical field work or handling geophysical data.



Appointment to this role will be at Academic Level A or Level B and will be determined based on the successful candidate’s level of skills, qualifications, and experience. The role will have a total remuneration package of up to $136,519 comprising base salary within the range of $72,861 to $116,683 plus 17% superannuation.


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

  • To apply online, please provide the following supporting documentation:
    • Resume;
    • Cover letter outlining your suitability and motivation for the role;
    • Your responses to the success criteria.
  • For further information about this position, please contact Professor Anya Reading, Professor/Associate Head Research, or (03) 6226 2477
  • Please visit for our guide to applying and details on the recruitment process.


Applications close Sunday, 13 February 2022, 11.55pm

 Download File Position Description - Research Associate - Computational Geophysics.pdf


Advertised: Tasmania Daylight Time
Applications close: Tasmania Daylight Time

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