Research Associate (Mechanical/ Electrical/ Power engineering)

Nanyang Technological University; Singapore; On-site; SGD 47,000 - 69,000; Full time

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.

Skills

Numerical modelling

AI/ML

Data collection

Control strategies

Analytical skills

Independent work

Communication

Education

Master's degree in mechanical/electrical/power engineering or related field

Tools

MATLAB

Modelica

TRNSYS

FDS

OpenFOAM

Job description

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

We are looking for a Research Associate to conduct numerical modelling work as well as to develop optimal control strategies for energy systems including building energy systems, energy storage systems and fire systems. The role will focus on conducting comprehensive data collection from both experimental and numerical sources, gathering relevant test and simulation data available globally, organizing the collected data to support model and control algorithm development and validation, and ensuring the accuracy and robustness.

Key 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.

Job Requirements:

• Master’s (for Research Associate equivalent) 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, etc.)
• 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), etc.
• Good written and oral communication skills
• Proficiency in numeric and analytical skills
• Ability to work independently and develop solutions under strict timelines

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