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At ICRAR, we are committed to a diverse workforce

ICRAR is a great place to work, and we encourage you to apply for any vacancy that you are suitably qualified for. ICRAR is committed to creating a working environment and culture that is inclusive and provides equal opportunities, irrespective of race, gender, age, sexual orientation, culture and origin. We celebrate inclusion and diversity and believe gender equity is fundamental to an excellent workplace. We appreciate the experiences, skills and perspectives of all individuals and harness a collaborative environment. We actively encourage applications from people from diverse backgrounds, and we encourage flexible working hours in consultation with management.

For more information on the benefits of employment at ICRAR with either Curtin University or The University of Western Australia, you can visit the Curtin or UWA employment websites.

For jobs with the SKA Organisation, please head to the SKA Organisation recruitment website.

Current Vacancies



Research Fellow – Data Science 512977 UWA 15-DEC-22

Research Fellow – Data Science

  • Lead research projects and learn new skills in a dynamic and supportive team environment
  • 2-year fixed-term full time opportunity- flexible working arrangements are supported such as part time work or school hours
  • Base salary range: Level B $105,043 – $124,301 p.a. (pro rata) plus 17% superannuation

As a Research Fellow you will use your skills and experience in advanced data science technologies to contribute to the DIA program of the ICRAR. You will lead and initiate cutting edge data science research projects that draw on your data science expertise.

You will also be uniquely placed to contribute to a range of other projects within SKA, both directly supporting and working with ICRAR scientists, but also working with cross-disciplinary teams within UWA and with industry. This is an exciting opportunity to develop new projects, expand your research repertoire and learn new skills.

To be considered for this role, you will demonstrate:

  • PhD in a scientific field, computer science or software engineering.
  • Demonstrated ability in the creation of custom-built models for computer vision and/or time-series/sequence datasets using at least one of the popular Deep Learning frameworks
  • Ability to assess, present and visualise model quality and properties using standard Python data science toolkits
  • Expertise in statistical data analysis and programming
  • Excellent team player with the ability to collaborate with diverse groups
  • Previous experience teaching or supervising Masters of PhD students

read more and apply