In-Demand Machine learning Jobs in Victoria

PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning
Monash University —Clayton VIC
- Full-time
- Engineering
- English
- Research
Program Architect
Infosys —Melbourne VIC
- $127,971 - $141,157 a year
7d
Senior Machine Learning Engineer - Platform
Zendesk —Victoria
- Full-time
- Hybrid work
- APIs
- AI
Machine Learning Engineer
Mutinex —South Melbourne VIC
- Hybrid work
- Machine learning
- APIs
- Annual leave
- Work from home
Quick Apply
Computer Vision Scientist, International Machine Learning, Australia
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
Staff Machine Learning Engineer
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
3d
Online Data Analyst - Australia
TELUS Digital —Bulleen VIC
- Part-time
- Management
- No experience needed
- Research
Research Scientist, BCI-Australia
Synchron Inc. —Melbourne VIC
- $100,000 - $220,000 a year
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Research
- Commuter assistance
- Health insurance
Quick Apply
AI / Machine Learning Architect
Wilfred Knight —Brighton VIC
- Computer Science
- Bachelor's degree
- Machine learning
Associate Director, AI & Advanced Analytics
CSL Behring —Melbourne VIC
- $181,000 - $214,000 a year
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Senior Data Scientist
See-Mode Technologies i —Melbourne VIC
- $12,000 - $13,750 a month
- Full-time
- In-person
- AI
- Relocation assistance
- Health insurance
Quick Apply
Senior Machine Learning Operations Engineer (MLOps)
Easygo —Melbourne VIC
- Full-time
- Azure
- Computer Science
- DevOps
- Work from home
- Employee assistance program
Quick Apply
Data Engineer
Accenture —Ballarat VIC
- Full-time
- Azure
- Computer Science
- Engineering
- Parental leave
Senior Machine Learning Engineer - Australia
Neara —Melbourne VIC
- Full-time
- Hybrid work
- Machine learning
Data Science Specialist
QBE Insurance —West Melbourne VIC
- $64.32 - $95.23 an hour
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
- Dental insurance
Quick Apply
Member of Technical Staff
Artificial Analysis, Inc. —Melbourne VIC
- Full-time
- Data analysis skills
- Analysis skills
- AI
Quick Apply
1d
MLOps Engineer
Akuna Capital —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- Research
Software Engineer
InsurgenceAI Pty Ltd —Collingwood VIC
- $95,000 - $110,000 a year
- Full-time
- Azure
- AWS
- APIs
- Employee stock purchase plan
- Work from home
Quick Apply
Assistant Associate Dean, Data Science & AI Discipline
RMIT University —Melbourne VIC
- $146,897 - $227,847 a year
- Full-time
- Doctoral degree
- Working with children
- AI
3d
Public Sector Account Executive, Okta
Okta —Melbourne VIC
- Management
- AI
9d

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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning

Monash University -
Clayton VIC

Apply Now

Job Details

Full-time

Qualifications

Bachelor honours degree
Engineering
English
Research
Master's degree
Bachelor's degree
Machine learning
X-ray
AI
Communication skills

Full Job Description

The Opportunity

Expressions of interest are sought from outstanding candidates for PhD study in the Department of Materials Science and Engineering within the Faculty of Engineering.

Project title: Processing intelligence for green metals using in situ X-ray characterisation and machine learning.

We are seeking a PhD candidate to develop advanced in situ X-ray characterisation and machine-learning-enabled processing intelligence for green metals transformation. The project will focus on capturing time-resolved structural and chemical changes during minerals-to-metals processing, including aqueous, electrochemical, thermal, and hybrid pathways relevant to extraction, refining, recycling, phase transformation, impurity evolution, and microstructure development.

The candidate will use advanced in situ X-ray methods, including diffraction, scattering, spectroscopy, imaging, and complementary multimodal characterisation, to generate data-rich descriptions of evolving materials and processing pathways. A central aim is to couple these experiments with machine learning, mechanistic modelling, and automated data analysis to extract processing-structure-property relationships and support predictive process optimisation.

The project sits within Monash's broader ambition to build physical-digital capability for infrastructure platforms in minerals-to-green metals transformation. It will suit a candidate interested in combining experimental materials science, advanced characterisation, and data-driven modelling to develop new forms of processing intelligence for low-emission metals production and recycling.

The candidate will be supervised by Dr Yuxiang Wu ([email protected]), with collaborators across materials engineering, X-ray science, and artificial intelligence.

Project Details

Start: July 2026

Graduate research degree: Doctor of Philosophy (PhD)

Location: Clayton campus

Department: Materials Science and Engineering

A scholarship opportunity may be available for this project.

Preferred Background

Materials Science, Metallurgical Engineering, Mechanical Engineering, Physics, Chemical Engineering, Data Science, or related disciplines.

Strong interest in phase transformations, process chemistry, materials processing, and advanced X-ray characterisation.

Experience or enthusiasm for machine learning, scientific computing, automated data analysis, or computational modelling.

Candidate Requirements

Applicants will be considered provided they fulfil the criteria for PhD admission at Monash University. Details of the relevant requirements are available at www.monash.edu/engineering/future-students/graduate-research/how-to-apply.

Your application will be looked upon favourably if you:

Graduated in the top 10% of your year level.

Graduated from a well ranked university.

Have authored peer-reviewed research publications.

Possess excellent written and verbal English skills.

Note: applicants who already hold a PhD degree will not be considered.

Applicants must show excellent communication and interpersonal skills, and the ability to conduct self-motivated research. They should have either completed, or be in the process of completing, a Bachelors H1 Honours Degree or already hold an H1E Bachelors and/or Masters degree. Candidates who are in the process of completing their H1 degree will be considered.

Application Process

To apply for a graduate research degree and/or scholarship at Monash Engineering please follow the following steps:

Check your eligibility, including the PhD entry requirements and Monash's English Language Proficiency requirements.

Contact Dr Yuxiang Wu by email with your CV, academic transcript, and a brief statement outlining your interest in the project.

If your Expression of Interest is supported, you will be supplied with an Invitation to Apply.

After you have received an invitation to apply, submit an application via the online application portal.

Enquiries

For enquiries about the project, please contact Dr Yuxiang Wu at [email protected].

Further enquiries about the scholarship or application process should be directed to the Graduate Research Office at [email protected] or visit www.monash.edu/engineering/future-students/graduate-research.

Applications Close: Wednesday 31 March 2027, 11:55pm AEDT

Supporting a diverse workforce

Apply Now

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machine learning jobs in victoria

PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning

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