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.

We are seeking a Research Fellow to contribute to the development of advanced modelling and optimisation tools for integrated multi-energy systems supporting sustainable cooling and energy infrastructure in urban environments.

The Research Fellow will develop simulation frameworks and system models to analyse interactions between cooling technologies, geothermal resources, energy networks, and thermal energy storage. The role includes the application of advanced modelling techniques, including data-driven methods and AI-assisted approaches, to evaluate system performance, explore system integration strategies, and assess techno-economic and environmental impacts.

The research will contribute to the development of scalable energy solutions for urban cooling systems and support decision-making for sustainable energy infrastructure planning.

Key Responsibilities:

• Develop models of integrated multi-energy systems, including interactions between electricity systems, cooling technologies, geothermal resources, and thermal energy storage

• Analyse and model cooling demand profiles in urban environments and evaluate system integration strategies for sustainable cooling.

• Develop simulation frameworks for energy system optimisation and performance analysis.

• Apply data-driven methods and AI-assisted modelling approaches to improve modelling, forecasting, and optimisation of energy systems.

• Perform techno-economic and environmental analysis of integrated energy systems, including CAPEX/OPEX estimation and carbon impact assessment.

• Evaluate system scenarios and support the development of decision frameworks for sustainable cooling and energy system planning.

• Collaborate with international research partners, including leading Danish universities, on advanced modelling of energy systems and cooling technologies.

• Prepare technical reports, scientific publications, and presentations for project stakeholders and research dissemination.

Job Requirements:

• PhD in Mechanical Engineering, Energy Engineering, Chemical Engineering, Applied Physics, or a closely related discipline.

Technical Competencies

• Strong background in energy systems modelling and simulation, particularly integrated or multi-energy systems.

• Experience in modelling thermal systems, cooling technologies, geothermal systems, or district energy systems.

• Experience with system optimisation and techno-economic analysis of energy systems.

• Proficiency in scientific computing environments such as Python, MATLAB, Julia, or Modelica.

• Experience with data-driven modelling, machine learning, or AI applications in energy systems is an advantage.

• Familiarity with modelling of energy networks, district cooling systems, or integrated urban energy infrastructures is desirable.

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