In-Demand Intelligence / machine learning Jobs in Melbourne, Vic

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
PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis
Monash University —Clayton VIC
- Full-time
- Data analysis skills
- English
- Research
Machine Learning Engineer / Applied Scientist
Up —Melbourne VIC
- $125,000 - $170,000 a year
- Hybrid work
- Doctoral degree
- Data analysis skills
- Research
- Employee assistance program
4d
Research Fellow - Federated & Multimodal Learning
Monash University —Clayton VIC
- $123,138 - $146,228 a year
- Full-time
- Hybrid work
- Research
- AI
Software Engineer
SCNITS AUSTRALIA —Williams Landing VIC
- $80,000 - $85,000 a year
- Full-time
- Azure
- AWS
- Analysis skills
Quick Apply
4d
AI PhD Opportunity: Foundation Models for Brain Data
Monash University —Clayton VIC
- Full-time
- Laboratory
- Doctoral degree
- Research
3d
Research Officer
Murdoch Childrens Research Institute —Parkville VIC
- $109,334 a year
- Part-time
- Doctoral degree
- Research
- Machine learning
- Parental leave
Senior/Principal Machine Learning Engineer - Aus
Harrison.ai —Melbourne VIC
- Full-time
- Remote
- Doctoral degree
- Research
- AWS
11d
Product Intelligence Sensory Manager (m/f/d)
JTI —Research VIC
- Contract
- Microsoft Powerpoint
- Microsoft Excel
- English
Technical Implementation & Support Engineer (APAC)
Nicolab —Melbourne VIC
- $120,000 - $150,000 a year
- Part-time
- Remote
- AWS
- Education
- Bachelor's degree
- Annual leave
- Referral program
Quick Apply
Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure
Monash University —Clayton VIC
- Full-time
- Doctoral degree
- Research
- Master's degree
3d
Data Scientist, Applied Science
Future Secure AI —Melbourne VIC
- $110,000 - $210,000 a year
- Azure
- Doctoral degree
- Computer Science
Quick Apply
Data Engineer - 12 Month Opportunity - Hybrid
Flybuys —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AWS
- No degree
- Work from home
PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics
Monash University —Clayton VIC
- Full-time
- Computer science
- Research
- Master's degree
3d
ACES Business Analyst, ACES BI and Analytics
Amazon Commercial Services Pty Ltd —Melbourne VIC
- Full-time
- Management
- Computer Science
- Engineering
Systems Analyst, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
12d
Associate Support Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Bachelor's degree
- Scripting
Binance Accelerator Program - Data Scientist (AI Agent Quality)
Binance —Melbourne VIC
- Contract
- Remote
- Research
- Master's degree
- SQL
Quick Apply
4d
Associate DevOps Analyst, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Scripting
- AI
Engineering Manager - Search Intelligence
News Corp —Melbourne VIC
- Hybrid work
- Machine learning
- APIs
- AI
- Parental leave
4d

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intelligence / machine learning jobs near melbourne, vic

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

Refine Your Search

intelligence / machine learning jobs in melbourne, vic

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

PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis

Machine Learning Engineer / Applied Scientist

Research Fellow - Federated & Multimodal Learning

Software Engineer

AI PhD Opportunity: Foundation Models for Brain Data

Research Officer

Senior/Principal Machine Learning Engineer - Aus

Product Intelligence Sensory Manager (m/f/d)

Technical Implementation & Support Engineer (APAC)

Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure

Data Scientist, Applied Science

Data Engineer - 12 Month Opportunity - Hybrid

PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics

ACES Business Analyst, ACES BI and Analytics

Systems Analyst, Region Services

Associate Support Engineer, Region Services

Binance Accelerator Program - Data Scientist (AI Agent Quality)

Associate DevOps Analyst, Region Services

Engineering Manager - Search Intelligence

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