PhD Scholarships spanning the complete mining and processing production chain

Generous PhD scholarships in engineering, computer science, data analytics and mathematical modelling are now available.

Gold sensing - lumps of gold

Gold sensing, conducted by Professor Heike Ebendorff-Heidepriem and her team.

Join the Australian Research Council Training Centre for Integrated Operations for Complex Resources and help deliver the vital enabling tools – advanced sensors, data analytics and Artificial Intelligence – for automated, integrated and optimised mining.

All PhD projects include an industry placement and offer a unique opportunity to work on industry-linked interdisciplinary projects with leading researchers and mining industry partners.

Projects include:

  • Cross-borehole seismic interferometry to interpolate rock mass and geometallurgical variables
  • Draw-point and cave operation and fragmentation sensing 
  • Gold sensing
  • Wireless sensor network radio frequency identification for continuously deployable tagging
  • Vibration and accelerometer sensing for early stage roping detection in hydrocyclones
  • Pulp Chemistry Monitor for leach applications
  • Integration and analytics of drill sensor information to derive geometallurgical attributes
  • Fingerprinting ore types and blends by fusing hyper-spectral and other sensors using assisted machine learning
  • Ore tracking model from uncertain resource model to belt sensors and run-ofmine stockpiles
  • Integration of sensors to maximise crushing plant throughput
  • Integration of grinding circuit sensors including ultrasonics for particle size distribution to maximise mill throughput 
  • Integration and analytics of pulp chemistry sensor information with instream analysis for flotation plant optimisation
  • Integration of in-stream and particle size measurements using ultrasonics in flotation
  • Rapid updating of resource knowledge with sensor information including structures
  • Measure and monitor particle size distributions so as to divert low value waste
  • Machine Learning to link resource to down-stream products

We invite qualified Australian domestic and international students with an excellent master/honours degree in mining engineering, mechanical engineering, computer science, mathematics, statistics or related areas to submit an Expression of Interest with the view to start from mid-2020 onwards.

The scholarships are open to Australian domestic and international students, and successful applications will receive a tax-free stipend of AU$34,013 for 3 years.

Find out more and apply Project Details Brochure

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