Research Fellow (Geothermal Energy Modelling)

The Energy Research Institute @ NTU (ERI@N) is a university-level research institute dedicated to advancing innovative energy solutions for sustainable cities, industrial decarbonisation, and resilient energy infrastructure. ERI@N bridges fundamental research and real-world deployment through close collaboration with industry and government agencies. This position supports a research project focused on the integration of non-conventional geothermal energy (EGS/AGS) into data centre cooling systems in Singapore, including geothermal-assisted cooling architectures, absorption chilling, heat pumps, thermal energy storage, and system-level techno-economic and environmental assessment. Key Responsibilities: • Review geothermal resource data and data centre cooling demand profiles relevant to Singapore. • Develop and validate geothermal system models (EGS/AGS) and associated heat extraction performance. • Model and assess geothermal-driven cooling configurations, including absorption chillers and geothermal-assisted heat pumps. • Integrate thermal energy storage and low-water heat rejection strategies suitable for tropical, urban environments. • Perform techno-economic, environmental (CO₂, water), and sensitivity analyses. • Support system optimisation and development of decision frameworks for pilot-readiness. • Prepare technical reports, presentations, and research outputs for ERI@N stakeholders and industry partners. Job Requirements: • PhD in Mechanical Engineering, Energy Engineering, Chemical Engineering, or a closely related discipline. ​Technical Competencies • Proven experience in energy system modelling and simulation, with focus on thermal systems and/or geothermal energy systems. • Strong background in cooling technologies, including absorption chillers, heat pumps, and thermal energy storage. • Experience in techno-economic analysis of energy systems, including CAPEX/OPEX estimation, levelised cost metrics, and sensitivity analysis. • Ability to integrate multiple subsystems into system-level performance and optimisation frameworks. • Proficiency in at least one scientific computing environment (e.g. Python, MATLAB, Modelica); experience with geothermal or reservoir modelling tools is an advantage. Research & Delivery Skills • Ability to independently plan and execute applied research tasks under defined timelines. • Strong capability in technical reporting, including preparation of feasibility studies, decision-support analyses, and stakeholder-facing deliverables. • Experience working on industry- or application-driven research projects is preferred. Soft Skills • Strong analytical and problem-solving skills. • Ability to work independently while collaborating effectively within a multidisciplinary research team. • Clear written and verbal communication skills suitable for interaction with industry and institutional stakeholders. We regret to inform that only shortlisted candidates will be notified.