Data-Driven Modelling for Low-Carbon Industrial Energy Systems Monash University Malaysia in Malaysia

This PhD project at Monash University Malaysia focuses on developing advanced data-driven modelling approaches for the design and optimisation of low-carbon industrial energy systems. The research integrates process simulation, system-level analysis, and digital tools to evaluate performance, efficiency, and operational reliability in industrial applications. By leveraging digital technologies and data science, the project aims to improve system integration, support decision-making, and enhance the scalability of future energy infrastructure.

Students will explore how emerging modelling techniques can contribute to more sustainable and resilient industrial energy systems, addressing the challenges of decarbonisation and operational efficiency. The research is situated within the Department of Engineering and Information Technology, offering interdisciplinary opportunities in chemical engineering, environmental science, and computer science.

Funding is available for students worldwide, including a stipend and tuition waiver. To be eligible, applicants must have a First Class Honours (H1) or its equivalence (H1E) recognised by Monash University Malaysia and meet English language requirements (IELTS, TOEFL, or equivalent). The application process involves contacting the main supervisor, Prof Chong Meng Nan, with your academic background and achievements to assess fit. If suitable, candidates should submit a cover letter, CV, and evidence of English proficiency. The deadline for applications is December 31, 2026.

For further details and to apply, visit the project webpage. This opportunity is ideal for candidates interested in sustainable energy, digital modelling, and industrial innovation.