Research Fellow (Building Energy System Control)

Nanyang Technological University, Singapore (NTU Singapore); Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

NTU Singapore's Energy Research Institute @ NTU (ERI@N) seeks a Research Fellow to support and drive excellence in scientific research and technological innovations. The role will focus on sustainable and advanced building technologies.

The successful candidate will help coordinate research activities, manage projects, and produce outputs such as reports and publications, contributing to funding and strategic development. Hiring Institution: NTU

Qualifications

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

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.

Skills

Building energy

Power system control

AI & ML

MATLAB

Python

Modelica

C

Fortran

Education

PhD in Mechanical/Electrical Engineering

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