Research Associate (Mechanical/ Electrical/ Power engineering)
Core
Conduct numerical modelling and develop optimal control strategies for energy systems including building, energy storage, and fire systems.
Role type
Research Associate (Mechanical/Electrical/Power Engineering)
Builds
Numerical models, control algorithms, and research outputs for energy system optimization
Domain
Energy systems, building energy, battery energy storage systems (BESS), fire safety
Deliverable
production ML models | research
Required skills
numerical simulation, optimal control strategy development, data collection and standardization, AI and machine learning application, building energy system modelling, experimental methods in energy systems, thermal management methods
Preferred skills
familiarity with Matlab, Modelica, TRNSYS, FDS, OpenFOAM
Technologies
Matlab, Modelica, TRNSYS, FDS, OpenFOAM
Responsibilities
Identify and integrate diverse datasets to enhance simulation reliability; use AI and machine learning to accelerate numerical simulation processes; develop optimal control strategies for energy systems; publish high-quality journal papers, conference papers, and apply for patents; provide periodic updates on research progress
Seniority
Mid-level, hands-on IC