Energy Systems Research Associate: AI Modelling & Control

Nanyang Technological University, Singapore (NTU Singapore)

Singapore

On-site

SGD 50,000 - 72,000

Full time

14 days+
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Job summary

NTU Energy Research Institute @ NTU (ERI@N) seeks a Research Associate to conduct numerical modelling and develop optimal control strategies for energy systems including building energy systems, energy storage, and fire systems.

The role involves data collection from experimental and numerical sources, organizing data for model development and validation, and ensuring accuracy and robustness of simulations, under tight timelines.

Qualifications

  • Master’s degree in mechanical/electrical/power engineering or related field.
  • At least 1 year of 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).
  • Strong 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 simulations.
  • Use AI and machine-learning to accelerate numerical simulation processes.
  • Develop optimal control strategies for energy systems.
  • Publish high-quality journal papers and conference papers; apply for TD/patents.
  • Periodically provide updates on research progress to the PI and team.

Skills

Numerical simulations
Control strategies
Data analysis
AI/ML applications
Independent work

Education

Master's degree in mechanical/electrical/power engineering

Tools

MATLAB
Modelica
TRNSYS
FDS
OpenFOAM

Job description

NTU Energy Research Institute @ NTU (ERI@N) seeks a Research Associate to conduct numerical modelling and develop optimal control strategies for energy systems including building energy systems, energy storage, and fire systems.

The role involves data collection from experimental and numerical sources, organizing data for model development and validation, and ensuring accuracy and robustness of simulations, under tight timelines.

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