Research Software Engineer

Location
Canberra, Australia
Salary
$95,324 – $114,700 per annum, plus 17% superannuation
Posted
26 Feb 2023
End of advertisement period
19 Mar 2023
Ref
550138
Contract Type
Fixed Term, Permanent
Hours
Full Time

Classification: ANU Officer 7 or ANU Officer 8 (Information Technology)
Salary package: $95,324 – $114,700 per annum, plus 17% superannuation
Terms: Full-time, Continuing (Contingent Funded), until end of 2024, with possibility of extension.
Position descriptions & Selection CriteriaACCESS-NRI Research Software Engineer ANUO78.pdf

  • Flexible working arrangements to encourage a healthy work/life balance, including consideration of part-time roles.
  • Exceptional workplace culture with a supportive, diverse and inclusive team.
  • Great work location with world-class staff amenities including gyms, swimming pool, childcare centres etc.
  • Excellent remuneration and conditions, including 17% superannuation contributions, annual leave loading and a range of benefits.

About us 

ACCESS – The Australian Community Climate and Earth System Simulator – is a collaborative venture between Government and the Australian research community to support development, maintenance and access to climate and weather models and data.

Hosted at ANU, ACCESS-NRI (ACCESS National Research Infrastructure) is established as a multi-party collaborative venture responding to the current and future needs of Australia’s scientific, Government and stakeholder community.

At the heart of ACCESS is a community of Research Software Engineers with a range of skills including high performance computing, climate and Earth system model development, advanced visualisation, model optimisation, code repository management, machine learning, model evaluation and data science.

ACCESS-NRI provides a supportive and enriching workplace for its staff through its strong commitment to equity, diversity and inclusion and wellbeing initiatives. Women, Aboriginal and Torres Strait Islander peoples and other people that will increase the diversity of the ACCESS community are strongly encouraged to apply.

The Role

We seek an experienced scientific modeller to enhance our land surface modelling capabilities, so our models are available for use by research facilities, stakeholders, and the wider user community. This is an exciting opportunity to actively contribute to creating solutions to the environmental challenges we currently face.

The Research Software Engineer (Land Surface Specialist) will work collaboratively with the land and Earth system modelling community to improve the robustness of our land surface models and develop new capabilities to help Australia achieve Net Zero emissions. The position is an outstanding opportunity to extend and broaden your career. We encourage candidates with a scientific and programming background to apply.

You will be working in a small team, so it is essential that you are able to work with others, contribute to varied projects as needed, and be able to balance ongoing maintenance and support with scoping and delivery of new projects and other longer-term deliverables. The role has a mixture of internal and external stakeholder engagement, you must be willing and able to occasionally interact with non-technical researchers about project requirements. 

If this sounds like you, and you are excited to support innovative research and play an active role in making a difference in the world, then please get in touch to find out more about the position.

Skills and Requirements

Demonstrated experience in working as part of a software development team, attention to detail, flexibility, and ability to prioritise tasks to accomplish both short- and long-term goals.

Ability to self-direct and learn new skills as needed matters more than any specific software package, as does an interest and demonstrated aptitude for picking up new things and running with them.

Core skills needed:

  • Programming skills in Fortran, Python
  • Scientific background
  • High-performance computing
  • Linux
  • Code repository management under Git, including continuous integration

Personal and technical skills

  • Attention to detail 
  • Developing with reusability and interoperability in mind 
  • Working independently while creating a highly collaborative environment 
  • Ability and interest in self-learning and paying attention to the constantly changing development landscape.

Desirable skills and experience that you may use (in no order):

  • Knowledge of land surface processes
  • Statistics knowledge
  • GIS software (ArcGIS or similar)
  • FAIR principles for data and software

For further information, please contact Claire Carouge, Team Leader, Land Modelling Infrastructure on E: claire.carouge@anu.edu.au

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities at the ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion/aboriginal-torres-strait-islander-employment.

ANU values diversity and inclusion and believes employment opportunities must not be limited by socio-economic background, race, religion or gender. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion.

Application information

In order to apply for this role please make sure that you upload the following documents:

  • A statement addressing the selection criteria.
  • A current curriculum vitae (CV) which includes the names and contact details of at least two referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form.
  • Other documents, if required.

Applications which do not address the selection criteria may not be considered for the position.

Please note: The successful applicant must have rights to live and work in this country. The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

Closing date: 19 March 2023.

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