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Research Fellow; Building Energy System Control

Job in Singapore, Singapore
Listing for: Nanyang Technological University
Full Time position
Listed on 2026-10-15
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, AI Business & Operations, Research Assistant/Associate
Salary/Wage Range or Industry Benchmark: 70000 - 100000 SGD Yearly SGD 70000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Research Fellow (Building Energy System Control)

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 aResearch 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., Mat Lab, Python, Modelica, C, For Tran, etc.

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

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