Data-Driven Modelling for Low-Carbon Industrial Energy Systems

About the Project

This project focuses on the development of advanced modelling approaches to support the design and optimisation of emerging low-carbon energy systems in industrial applications. The research will involve integrating process simulation, system-level analysis, and data-driven techniques to evaluate performance, efficiency, and operational reliability. The study aims to explore how digital tools can assist in improving system integration, supporting decision-making, and enhancing the scalability of future energy infrastructure. The outcomes are expected to contribute to the development of more sustainable and resilient industrial energy systems.

Interested candidates who satisfy the criteria above should provide the following to Prof Chong Meng Nan (Chong.Meng.Nan@monash.edu) in their application:

• A cover letter that outlines your skills and experience
• CV which includes your education background and your publication record (if any)
• Evidence of English proficiency test (if any) (eg: IELTS, TOEFL)

How To Apply

It is suggested that you first contact the main supervisor and provide them with your academic background and achievements to determine whether you are a 'fit' for this research topic. If you feel you are a 'fit', please click here to complete an Expression of Interest, including your research proposal relevant to this project. Your EoI will be assessed and if you are eligible you will be invited to apply for PhD candidature and may be selected to interview for the scholarship

IMPORTANT: Starting May 2026, the Expression of Interest process described above will no longer apply. Updated application instructions will be available on this page from 4 May 2026.

Funding Notes

Stipend and tuition waiver for students world wide.

Eligibility:

To be eligible for GRES, you must possess a minimum academic qualification of First Class Honours (H1) or its equivalence (H1E) recognised by Monash University Malaysia and satisfy the English language requirements.