PhD Scholarship in Machine Learning-Enabled Processing and Visualization of Dissolved Metal Ion Sensing Data

Work on a CSIRO and ARC co-funded project. It is applicable to those wishing to work on the cutting-edge research of mineral resources recovery and mining site environmental management.

The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL).

This CSIRO-RMIT co-funded scholarship provides a stipend of $33,000 per annum pro rata (full-time) for three years with a possible extension of six months, and successful applicant will also be awarded a Tuition Fee Scholarship if required.

Applications are now open.

Applications will close once the candidate is appointed.

One scholarship is available. 

To be eligible for this scholarship you must:

  • have a first-class Honours or H1 or equivalent degree in a relevant discipline of engineering/science
  • be an Australian citizen, New Zealand Citizen or an Australian permanent resident or an international student meeting the minimum English language requirements
  • provide evidence of adequate oral and written communication skills
  • demonstrate the ability to work as part of a multi-disciplinary research team
  • meet RMIT’s entry requirements for the PhD by research degree

To apply, please submit the following documents to Professor Miao Chen via

One CSIRO-RMIT co-funded PhD scholarship is available to conduct research into mineral resources. The successful candidate will have a unique opportunity to work closely with researchers and technical experts from CSIRO in a multi-disciplinary team environment. The project will provide numerous research and development opportunities including Cutting-edge chemical analytical and mineral characterization techniques: solution chemical sensing, mineralogy analysis, particle analysis, electron microscopy, and synchrotron technology. The candidate should have experience in one or more of the following research areas: Chemical Engineering, Chemistry, Chemical Sensing, Environmental Science, Mineral Processing, Geochemistry

Please contact

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.