Machine Learning for Grinding Mill Design Optimisation
Closing Date: 15 November 2021Apply Now
This project aims to apply machine learning in combination with programmable mechanical design modelling software to automatically optimise grinding mill geometries for desired operational outcomes. The machine learning component will address deep reinforcement learning as an innovative technology in this application domain. The project will be conducted in close collaboration with industry partner Bradken in Newcastle.
The PhD candidate will be part of an interdisciplinary team of researchers from engineering, computer science and industrial researchers. The candidate should have good programming skills, knowledge in machine learning and engineering judgement. The project will require design and training of deep neural networks where existing libraries can be combined with new implementations. One of the core techniques is reinforcement learning. The PhD project is part of ARC LP190100378 https://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP190100378
PhD Scholarship details
Funding: $28,597 per annum (2021 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. The scholarship will be offered to the successful candidate subject to the grant being fully established.
Supervisor: Stephan Chalup
Available to: Domestic and International students
The applicant will need to meet the minimum eligibility criteria for admission.
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 Stephan.Chalup@newcastle.edu.au by 5pm on 15 November 2021.
Applications Close 15 November 2021 Apply Now
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PhD and Research MastersFind out more
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