MUM
Data-Driven Modelling for Low-Carbon Industrial Energy Systems
✓ Funded (Competition)
🎓 Chemical Engineering
🎓 Data Science
🎓 Internet of Things
process simulation
data-driven modelling
Malaysia PhD
digital tools
industrial energy systems
low-carbon energy systems
sustainable infrastructure
system optimisation
Competition funded PhD at Monash University Malaysia focused on data-driven modelling and optimisation of low-carbon industrial energy systems.
Project Description
This PhD project focuses on developing advanced modelling approaches to support the design and optimisation of emerging low-carbon energy systems in industrial applications.
The research will combine:
Process simulation
System-level analysis
Data-driven modelling techniques
The study will evaluate:
System performance
Energy efficiency
Operational reliability
Scalability of future energy infrastructure
The project also explores how digital tools can improve:
System integration
Decision-making
Industrial sustainability
Resilience of energy systems
This research is suited to candidates interested in engineering modelling, digital energy systems, and sustainable industrial development.
Entry Requirements
First Class Honours (H1) or equivalent
Must meet English language requirements
Relevant background in:
Chemical Engineering
Data Science
Energy systems
Process modelling
Industrial engineering or related fields
Must meet English language requirements
Relevant background in:
Chemical Engineering
Data Science
Energy systems
Process modelling
Industrial engineering or related fields
How to Apply
Contact the supervisor (Prof Meng Nan Chong)
Submit:
Cover letter outlining your skills and experience
CV including education background and publication record
English proficiency evidence if available
Submit Expression of Interest (EoI) with research proposal
If shortlisted, proceed to application and interview
Note:
Process changes from May 2026
Updated instructions available from 4 May 2026
Submit:
Cover letter outlining your skills and experience
CV including education background and publication record
English proficiency evidence if available
Submit Expression of Interest (EoI) with research proposal
If shortlisted, proceed to application and interview
Note:
Process changes from May 2026
Updated instructions available from 4 May 2026
Eligibility
UK/Home
EU
International
Supervisor Profile
PM
Prof Meng Nan Chong
Monash University Malaysia, Engineering and Information Technology
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