Energy Systems Research Associate: ML-Driven Modelling

ntu

Singapore

On-site

SGD 60,000 - 90,000

Full time

5 days ago

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Job summary

NTU's Energy Research Institute @ NTU (ERI@N) invites applications for a Research Associate to conduct numerical modelling and develop optimal control strategies for energy systems, including building energy systems and energy storage. The role focuses on data collection from experimental and numerical sources, organizing data, and validating models.

You will apply AI/machine-learning methods to accelerate simulations, publish in journals/conferences, and contribute to TD/patents while

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 BESS.
Strong written and oral communication skills.

Responsibilities

Identify credible data sources, standardize data formats, and integrate diverse datasets for simulations.
Use AI and machine learning to accelerate numerical simulations.
Develop optimal control strategies for energy systems.
Publish high-quality journal/conference papers and pursue TD/patents.
Provide regular progress updates to the PI and team.