Research Fellow (Power Grids and Markets)

About the role

The School of Electrical and Electronic Engineering at Nanyang Technological University (NTU) is seeking four Research Fellows to join a research programme on market design for future low-carbon power systems. The work supports next-generation electricity market, coordination and decision-support frameworks that address energy adequacy, system stability, carbon objectives, flexibility provision and heterogeneous resource participation. The positions sit within the research group led by Assistant Professor Dawei Qiu.

Key responsibilities

• Conduct research on low-carbon power systems, electricity markets and energy flexibility coordination.
• Develop analytical, optimisation, simulation and data-driven models for market design and power system operation under high renewable penetration.
• Design and evaluate market mechanisms for energy storage, distributed energy resources, demand-side flexibility and low-carbon integration.
• Develop AI-enabled and computational methods for power system planning, operational decision-making and market simulation.
• Perform modelling, simulation and quantitative analysis of power systems, integrated energy systems and market operations.
• Collaborate with academic researchers, industry partners and government stakeholders.
• Prepare research proposals, technical reports, journal papers and conference publications, and present results at meetings, conferences and workshops.
• Mentor graduate and undergraduate students and help develop research software tools, datasets and simulation platforms.
• Support international research collaborations and external funding opportunities.

Required profile

• PhD in Electrical Engineering, Power Engineering or Information Engineering.
• Strong research background in electricity market design, power system operation and planning, energy storage, smart grids, distributed energy resources, flexibility coordination, optimisation or reinforcement learning.
• Experience in analytical modelling, optimisation, simulation, machine learning, reinforcement learning or data-driven methods for power systems and markets.
• Familiarity with electricity markets, renewable energy integration and low-carbon systems is advantageous.
• Good publication record in high-quality journals or conferences on power systems, power markets or reinforcement learning.
• Strong analytical, quantitative and problem-solving skills, and good organisational and time-management skills.
• Strong interest in establishing a new research group at NTU.

Required skills

• Programming and computational tools such as Python, JAX or related simulation and optimisation platforms (advantageous)
• Power systems, electricity markets or energy simulation tools (advantageous)
• Scientific writing and technical presentation skills