Research Fellow (Building Energy System Control)

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU Singapore's Energy Research Institute @ NTU (ERI@N) invites applications for a Research Fellow to advance sustainable and advanced building technologies. The role focuses on systems-level research for tropical megacities, spanning generation to end-use solutions.

The fellow will support research activities and project management, produce outputs, coordinate stakeholders, and assist in securing funding. Strong knowledge in building energy control, AI/ML, and programming is required.

Qualifications

• PhD degree in Mechanical/Electrical Engineering or related field.
• At least 1 year of relevant research experience in building energy/power system control & optimisation.
• Familiarity with BAC systems, AI/ML applications in building energy.
• Strong written and verbal communication skills.
• Proficiency in power system modelling and advanced control theory (e.g. MPC).
• Proficiency in programming tools such as MATLAB, Python, Modelica, C/Fortran.

Responsibilities

• Support research activities.
• Support research project management.
• Produce research outputs including reports, publications, and presentations.
• Coordinate stakeholders in research projects.
• Support research strategic development and funding acquisition.
• Support research data management and documentation.

Skills

PhD in Eng

Research Fellow

Building energy

AI/ML familiarity

Programming: MATLAB Python

Communication skills

Power system modelling

Control theory

Education

PhD in Eng

Tools

MATLAB

Python

Modelica

C

Fortran

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.

We are looking for a Research Fellow to support and drive excellence in scientific research and technological innovations. The role will focus on sustainable 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 in Mechanical/Electrical Engineering or related field
• At least 1 years of relevant experience in scientific research / technical hands-on experience in building energy/power system control & optimisation.
• Familiarity with building 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: NTU