Mathematical Analysis of a Novel Method of Mineral Fractionation
Closing Date: 31 March 2020
You will work as part of a team led by Associate Professor Jeff Hogan and Laureate Professor Kevin Galvin as part of the ARC 2020 Discovery Project “Enhanced fractionation of mineral particles according to density". This is cross-disciplinary research involving the application of advanced mathematical techniques to a problem in particle separations, relevant to the resources industry.
In minerals processing, accurate resource assessment, plant design, and process assessment require knowledge of the mass distribution of the particles as a function of the particle density – the "washability data". The traditional sink-float method has traditionally been used to obtain the data, utilising a series of baths containing liquids of different densities. There are, however, significant health and environmental problems associated with the sink-float method, not least of which being that the heavy liquids used are toxic, environmentally hazardous, and costly. CI Galvin has developed new technologies for beneficiating particles in minerals processing, most notably the REFLUX™ Classifier used in gravity separation to separate particles according to their density using a water-based fractionation method. This project involves the development of an algorithm for the de-convolution of the fractionation data arising from the this new technology to produce accurate washability data at low cost and with dramatically reduced impact on human health and the environment.
PhD Scholarship details
Funding: $28,092 per annum (2020 rate) indexed annually. For a PhD candidate, the living allowance scholarship is for 3.5 years and the tuition fee scholarship is for four years. Scholarships also include up to $1,500 relocation allowance and Overseas Student Health Cover at single rate, for an international candidate.
Supervisor: Associate Professor Jeffrey Hogan
Available to: Domestic and International students
- Have an excellent academic record in Honours in mathematics or a related discipline. Candidates with Masters by Research or Masters by Coursework degree are preferred.
- Have a strong mathematical background.
- Meet The University of Newcastle's entry requirements for the Doctor of Philosophy, including English language requirements.
- Be willing to apply for internal and external travel grants and other available research support funding.
- Be willing to work in both theoretical and laboratory environments, reflecting the cross-disciplinary nature of the research.
- Be willing to travel to local and international research meetings.
Expertise in one or more of the areas of Harmonic Analysis, Optimisation, Numerical Analysis or Signal Processing is desirable. Programming skills in MATLAB or Python are desirable. Women and applicants from under-represented groups are strongly encouraged to apply.
Interested applicants should send an email expressing their interest along with scanned copies of their academic transcripts, CV, a brief statement of their research interests and a proposal that specifically links them to the research project.
Please send the email expressing interest to Jeff.Hogan@newcastle.edu.au by 5pm on 31 March 2020.
Applications Close 31 March 2020
|Contact||Associate Professor Jeffrey Hogan|
|Phone||+61 2 4921 7235|
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