Research Associate (Geothermal Energy Modelling)

Nanyang Technological University, Singapore

Updated: about 3 hours ago
Location: Singapore,
Job Type: FullTime

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:

  • Masters in Mechanical Engineering, Energy Engineering, Chemical Engineering, or a closely related discipline.

  • 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.

We regret to inform that only shortlisted candidates will be notified.


Hiring Institution: NTU


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