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University of Adelaide

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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.

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Country

Australia

University

University of Adelaide

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Keywords

Computer Science
Chemical Engineering
Materials Science
Industrial Engineering
Earth Science
Mineral Processing
Optimisation

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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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