Summary
Expressions of interest are sought from outstanding candidates for PhD study focused on developing advanced in situ X-ray characterisation and machine-learning-enabled processing intelligence for green metals transformation.
PhD in Processing Intelligence for Green Metals, Clayton Campus, Monash University, Australia
Designation
PhD Scholarship Opportunity
Table of Details
| Detail | Information |
|---|---|
| Research Area | Processing intelligence for green metals using in situ X-ray characterisation and machine learning |
| Location | Clayton Campus, Monash University |
| Eligibility/Qualification | – Bachelor’s H1 Honours Degree or equivalent in Materials Science, Metallurgical Engineering, Mechanical Engineering, Physics, Chemical Engineering, or Data Science. – Strong interest in relevant fields and experience in machine learning is advantageous. |
| Job Description | Develop advanced in situ X-ray methods and machine learning for real-time characterisation of materials during processing, focusing on sustainable and low-emission metal production. |
| How to Apply | 1. Check eligibility, including PhD admission criteria. 2. Email Dr. Yuxiang Wu with CV, academic transcript, and a brief statement of interest. 3. If supported, receive an invitation to apply and submit the application via the online portal. |
| Last Date to Apply | Wednesday, 31 March 2027, 11:55 PM AEDT |
Research Area
The project aims to capture time-resolved structural and chemical changes during minerals-to-metals processing, utilizing advanced characterisation techniques and data-driven modelling to support predictive process optimisation in sustainable metal production.
Eligibility/Qualification
Candidates must have:
- An H1 Honours Bachelor’s Degree or an equivalent level qualification.
- A strong interest in phase transformations, process chemistry, and materials processing.
- Experience or enthusiasm for machine learning and advanced data analysis is preferred.
Job Description
The candidate will work within the Department of Materials Science and Engineering at Monash University, focusing on developing methods to collect and analyze data on materials during processing to enhance understanding of processing-structure-property relationships.
How to Apply
Interested candidates should:
- Confirm eligibility based on PhD entry requirements.
- Send an email to Dr. Yuxiang Wu (yuxiang.wu@monash.edu) with their CV, academic transcript, and a statement of interest.
- If the expression of interest is supported, an invitation to apply will be provided, after which candidates can submit their application through the online portal.
Last Date for Applications
All applications must be submitted by Wednesday, 31 March 2027, at 11:55 PM AEDT.
