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PhD Scholarship in Dynamic Optimisation of Mineral Processing Systems with Causal Machine Learning and Data Analytics Adelaide University in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
PhD opportunity with scholarship.
Country
Australia
University
University of Adelaide

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About this position
PhD scholarship opportunity at Adelaide University / Future Industries Institute (FII) for a student interested in mineral processing, causal machine learning, data analytics, and dynamic optimisation.
The project is titled “Dynamic optimisation of mineral processing systems with integrated causal machine learning and data analytics”. The research aims to develop causal relationships among process variables and build well-aligned causal predictive models for smart dynamic optimisation and eco-efficient energy mineral production.
This is a scholarship-backed PhD opening. The post does not list detailed eligibility criteria, but it is aimed at an excellent, passionate student with interest in process systems, optimisation, and data-driven modelling.
To apply, read the additional information via the provided link and submit an expression of interest (EOI).
Funding details
PhD opportunity with scholarship.
What's required
Excellent, passionate student; the post does not specify degree prerequisites, GPA, language scores, or other formal eligibility criteria beyond suitability for a PhD project.
How to apply
Review the additional information link and submit an expression of interest (EOI).
More information can be found here
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