• Full-time appointment on a fixed term basis for two years.
• Base salary range: Level X, $113,934– $134,824 p.a. (pro-rata) plus 17% superannuation.

About the area

The ARC-funded Centre for Critical Resources for the Future (CCRF) is located within the School of Earth and Oceans at the University of Western Australia (UWA). The Centre collaborates across academia, industry, and government to address research challenges related to critical minerals. The Data to Knowledge Program plays a transformative role by generating insights for evidence-based geosciences, while providing training for the geoscientists of tomorrow. This cross-disciplinary research associate position will be hosted by the School of Physics, Mathematics, and Computing (PMC) at UWA. The PMC School has a strong tradition of world-leading research in computer vision, mathematical physics, data science and quantum measurement.

About the opportunity

• Lead interdisciplinary geoscience research, developing innovative data platforms and collaborating with academics, researchers, and industry.
• Supervise students, drive cross-disciplinary initiatives, and publish high-impact research.
• Engage with industry and government, contributing to governance and promoting inclusion and diversity.

About you

• PhD qualification in Computer Science, Data Science, Software Engineering, or a related field.
• Demonstrated experience in deep learning and large language model research, joint modality representation learning, knowledge graph construction, particularly in the context of spatial-temporal data analysis (ideally with geoscience applications).
• Proven ability to design, train and implement joint modality deep learning representation learning models by integrating heterogenous datasets for geoscience research.
• Strong research track record, evidenced by contributions to research outputs in peer-reviewed journals or similar high-impact scholarly publications.
• Experience supervising research students or mentoring early-career researchers.
• Demonstrated ability to lead or significantly contribute to collaborative, cross-disciplinary projects.
• Capacity to develop and deliver training materials for research teams, focusing on data science and machine learning techniques in geoscience.

Position description:  PD [Research Fellow] [520112].pdf

To learn more about this opportunity, please contact A/Prof Wei Liu at wei.liu@uwa.edu.au  or Natasha Barlett at natasha.bartlett@uwa.edu.au

How to apply

Please apply online via the Apply Now button and address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria.

You may submit a statement describing any personal circumstances relevant to your application. This can include academic/professional interruptions or achievements relative to opportunity.

Closing date: 11:55 PM AWST on Sunday, 18 May 2025

This position is only open to applicants with relevant rights to work in Australia.

About the University

The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to join Western Australia’s top university.

Learn more about us.

Our commitment to inclusion and diversity

UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability.

If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process.

If you have queries relating to your application, please contact the individual named in the advertisement. Alternatively, please contact the Talent team at talent-hr@uwa.edu.au with details of your query. To enable a quick response, please include the 6-digit job reference number.