PhD Studentship Opportunities in Boiler Optimisation Project
U
University of Malaya
📍 Kuala Lumpur, Kuala Lumpur, Malaysia
Job Description
We are looking for two postgraduate students (PhD) to join our research project on boiler optimisation (fuel–combustion–digital twin-Reinforcement Learning integration), for March 2026 intake.
Project Overview
This is a collaborative R&D project with our industrial partner operating boilers for in-house power generation. At present, boiler operation is driven mainly from the steam side with limited visibility of what happens inside the furnace and how day-to-day fuel variations affect combustion efficiency. The project will combine fuel characterisation, combustion testing, CFD modelling and a data-driven digital twin of the boiler–turbine system. These models and measurements will be embedded into a custom decision-support and optimisation tool that recommends fuel- and condition-specific operating settings. The ultimate goal is to deliver a deployable prototype that helps operators run the boilers more efficiently.
Requirements
Position 1: Digital Twin & Reinforcement Lea...
Project Overview
This is a collaborative R&D project with our industrial partner operating boilers for in-house power generation. At present, boiler operation is driven mainly from the steam side with limited visibility of what happens inside the furnace and how day-to-day fuel variations affect combustion efficiency. The project will combine fuel characterisation, combustion testing, CFD modelling and a data-driven digital twin of the boiler–turbine system. These models and measurements will be embedded into a custom decision-support and optimisation tool that recommends fuel- and condition-specific operating settings. The ultimate goal is to deliver a deployable prototype that helps operators run the boilers more efficiently.
Requirements
Position 1: Digital Twin & Reinforcement Lea...