Job Description

The Opportunity

Expressions of interest are sought from outstanding candidates for PhD study in the Department of Materials Science and Engineering within the Faculty of Engineering.


Project title: Processing intelligence for green metals using in situ X-ray characterisation and machine learning.


We are seeking a PhD candidate to develop advanced in situ X-ray characterisation and machine-learning-enabled processing intelligence for green metals transformation. The project will focus on capturing time-resolved structural and chemical changes during minerals-to-metals processing, including aqueous, electrochemical, thermal, and hybrid pathways relevant to extraction, refining, recycling, phase transformation, impurity evolution, and microstructure development.


The candidate will use advanced in situ X-ray methods, including diffraction, scattering, spectroscopy, imaging, and complementary multimodal characterisation, to generat...

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Job Details

  • Location Clayton, Victoria
  • Job Type Full-time
  • Category Life Scientists
  • Posted Date June 14, 2026
  • Application Deadline July 24, 2026