CSIRO PhD Top-Up Scholarship - Machine learning for physical simulation of mining processes

Date Posted: 8 Oct 2024
Views: 132 | | Applications:

Location: Negotiable, AU

Company: CSIRO

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The Opportunity

  • Are you passionate about a career in research?
  • Want to access CSIRO's world-class facilities and staff?
  • Apply for a CSIRO PhD Top-Up Scholarship now!

 

 

CSIRO PhD Top-Up Scholarships provide enhanced opportunities in science and engineering for outstanding graduates enrolling in a PhD at Australian tertiary institutions. Collaborating with us to complete your PhD degree will give your research the edge. We offer you access to our leading scientists, engineers and mentors, the opportunity to take your research to the next level in our first-class facilities and first-hand experience in an environment where our innovative research really is changing the world for the better.

A CSIRO PhD Top-Up Scholarship is a supplementary award, which adds to the student’s support from a principal scholarship awarded by another body, e.g. RTP scholarship.  In all respects recipients of awards will be regarded as students of the University at which they are registered, and all rules relating to degree candidature and the primary award will apply. In particular, recipients will undertake research at CSIRO as a student of the university concerned and will not be employees of CSIRO.

CSIRO Mineral Resources are delivering breakthrough science innovation to create a more productive, sustainable and globally competitive mining and mineral resources industry for the benefit of Australia and the world.  For more information, please see our website at Mineral Resources.

Project Title:  Machine learning for physical simulation of mining processes

 

Project Details

Physical simulation such as numerical modelling (DEM, CFD, FEA or MPM) have been used to simulate processes such as mixing, segregation and ore dilution involved in mining operation such as in blasting, stockpiling, caving and ore passes. These methods often demand extensive computational resources and time. Incorporating machine learning techniques into numerical methods offers a promising solution to enhance and accelerate the simulations in a fraction of time needed for conventional simulations. The optimised solution is capable of providing near real-time output to support planning and dicision making towards optimising mining value chain. The candidate will use machine learning approaches to predict the mixing, and segregation of ore in mining operation as well as blending of different ores in order to minimise uncertainties and maximise the throughput of the operation.  

 

Contact:  For more information on the research project please contact one of the following people:

 

Location:  Negotiable (Australia-wide)

Scholarship:  Top-Up Scholarship of $10,000 per annum, plus a learning and development budget of $5,000 over the term of the studentship

Tenure:   3 years

Reference:  97923

 

Eligibility:

To be eligible to apply you must have (or expect to gain):

  • first or upper second-class honours or equivalent in a relevant research area;
  • admission to an Australian University as a PhD student;
  • hold an appropriate visa to study in Australia (if international)*
  • be no further than one year (FTE) into a PhD on commencing at CSIRO
  • hold a primary scholarship; for example, a Research Training Program (RTP) scholarship or other primary scholarship of similar value
  • not be in receipt of any other Top-Up Scholarship
  • a university supervisor who is willing and able to supervise you; and
  • be available to commence with CSIRO no later than 30 June 2025.

 

* International applicants must be residing in Australia and have the appropriate immigration approvals to allow them to take up the scholarship. 

The successful applicant will be required to obtain and provide a National Police Check or equivalent.

 

Applications will be assessed on:

  1. Quality and relevance of student project:  The primary assessment criterion for a CSIRO PhD Top-Up Scholarship is the quality and relevance of the project being proposed.  The research must be aligned with the advertised priority research area.
  2. Academic calibre of the student:  The quality of the student is also critical to the assessment of a scholarship and candidates must hold (or expect to gain) a relevant first or upper second class honours (or equivalent) degree from a recognised university.
  3. Availability of appropriate university supervision:  The relevance of the university supervisor’s research background and their willingness to supervise the student in collaboration with the CSIRO supervisor should also be made clear. 

 

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work.

 

Diversity and Inclusion

We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish.

 

About CSIRO

At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact.

CSIRO is committed to values-based leadership to inspire performance and unlock the potential of our people.

Join us and start creating tomorrow today!

 

How to apply:

You will be required to:

  1. submit a Resume/CV and Cover Letter (as one document) in the ‘Resume/CV field which includes:
    • the names and contact details of two previous supervisors or academic/professional referees; and
    • a one-page proposal stating how your research interests align with the project aims.
  2. upload your academic transcripts in the ‘Cover Letter’ field.

 

If you experience difficulties applying online call 1300 984 220 and someone will be able to assist you. Outside business hours please email: careers.online@csiro.au.

 

Applications Close

31 October 2024, 11:00pm AEDT

10/31/2024
11:00 PM

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