
Research Fellow (Building Energy System Control)
- AI
- Machine Learning
- MATLAB
- Python
- Fortran
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.
We are looking for a Research Fellowtosupport and drive excellence in scientific research and technological innovations. The role will focus onsustainable and advanced building technologies.
Key Responsibilities:
Support research activities
Support research project management
Produce research outputs including reports, publications, presentations, etc.
Coordinate different stakeholders in research projects
Support research strategic development and securing funding
Support research data management and documentation
Job Requirements:
PhD degree inMechanical/Electrical Engineering or related field
At least1 years of relevant experience in scientific research / technical hands-on experienceinbuilding energy/power system control & optimisation.
Familiarity withbuilding energy/power system control & optimisation, building automation and control (BAC) system, Artificial Intelligence (AI) & Machine-Learning (ML) applications.
Good written and oral communication skills
Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.)
Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTUResearch Fellow (Building Energy System Control) · Nanyang Technological University