Connectionists: PhD scholarship (International, Australia)): Machine Learning for Grinding Mill Design Optimisation

[Stephan Chalup]

PhD Scholarship: Machine Learning for Grinding Mill Design Optimisation

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

Scholarship details: https://www.newcastle.edu.au/study/research/phd-scholarships/phd-scholarships/machine-learning-for-grinding-mill-design-optimisation

Contact:
Associate Professor Stephan Chalup
Deputy Director, Priority Research Centre for Computer-Assisted Research Mathematics and Its Applications (CARMA)
School of Information and Physical Sciences
The University of Newcastle
Callaghan NSW 2308, Australia
https://www.newcastle.edu.au/profile/stephan-chalup

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