CODES – Centre for Ore Deposit and Earth Sciences

PhD - Evaluating applications of hyperspectral data for predicting mineral processing attributes and waste characteristics of slurries

The Research Project:

Accurately determining metallurgical attributes of slurries generated during mineral processing can significantly impact on the final grade of the target commodity or the properties of mine tailings. Existing methods by which to perform such analyses have yet to effectively include hyperspectral analysis, which if integrated with other techniques could be an efficient workflow by which to develop proxies for key metallurgical parameters. Ultimately, by using these new proxies, ore quality improvements and a reduction of risks posed by mine tailings will be possible, with potential for reducing energy consumption of the metallurgical plant. In this research project, the candidate will work on several case study sites (locations to be determined, likely Chile and Australia) whereby applications of hyperspectral data (collected using HyLogger) will be explored for predicting metallurgical attributes.

Duration: 3 years, with the possibility of a six month extension.

Value: TBA

Funding: Funding for this PhD project will be provided from by external source (most likely an international mining company/companies) with additional funding available from CSIRO.


The following eligibility criteria apply to this scholarship:

  • The scholarship is open to international candidates and to domestic candidates.
  • The PhD must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first class Honours degree or distinction at master’s level. Alternatively, they must hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Practical metallurgy experience
  • Expertise in performing mineralogical analyses (i.e., SEM, XRD, hyperspectral and automated mineralogy) and using supporting software (e.g., The Spectral Geologist)
  • Intermediate coding/programming skills

Application Process:

Applicants should complete the application via the University of Tasmania's admissions system (see How to Apply on the Graduate Research Future Students page).

Enquiries to: Dr. Anita Parbhakar-Fox ( or Dr Angela Escolme (

Applications Close: 31st March 2018.

Published on: 10 Jan 2018 10:27am