Energy Systems Research Associate - Data-Driven Modelling & AI

Nanyang Technological University

Singapore

On-site

SGD 47,000 - 69,000

Full time

14 days+

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Job summary

NTU Energy Research Institute @ NTU (ERI@N) invites applications for a Research Associate to perform numerical modelling and develop optimal control strategies for energy systems, including buildings, energy storage and related fire systems. The role emphasizes collecting data from experiments and simulations, organizing datasets, and validating models.

You will work with the PI and team to advance research, publish journal and conference papers, and contribute to TD/patents.

Qualifications

Master’s degree in mechanical/electrical/power engineering or related field.
At least 1 year of relevant experience in numerical simulations and control.
Familiarity with building energy system modelling tools (e.g. Matlab, Modelica, TRNSYS, FDS, OpenFOAM).
Familiarity with experimental methods in energy systems and battery energy storage systems (BESS).
Familiarity with thermal management methods including heat exchangers, heat sink, phase-change materials (PCM).
Good written and oral communication skills.
Proficiency in numeric and analytical skills.
Ability to work independently and develop solutions under strict timelines.

Responsibilities

Identify credible data sources, standardize data formats, and integrate diverse datasets to enhance the reliability of simulations and predictions.
Use cutting-edge methodologies such as A.I. and machine-learning to accelerate the numerical simulation processes.
Develop optimal control strategies for energy systems.
Publish high-quality journal papers, conference papers and apply for TD/patents.
Periodically provide updates on individual research progress to the PI and team members.