About this role
The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University (NTU) is one of the world’s leading engineering schools and is ranked 4th globally in Electrical and Electronic Engineering in the 2025 QS World University Rankings by Subject. NTU EEE is internationally recognised for excellence in research, innovation, and industry engagement across power and energy systems, artificial intelligence, communications, electronics, and sustainability. We are looking for a Research Assistant to support research on AI-enabled renewable energy systems. The role will focus on offshore wind farm simulation and control using reinforcement learning, digital twin development, and intelligent decision-making methods. Key Responsibilities: • Conduct research on offshore wind farm simulation and AI-based control methods. • Develop and implement reinforcement learning and machine learning algorithms for renewable energy applications. • Build and maintain simulation and digital twin platforms for renewable energy systems. • Develop software tools and computational frameworks for intelligent control and optimisation. • Perform data analysis, numerical experiments, and model validation. • Support research activities within Assistant Professor Dawei Qiu’s research group at NTU. Job Requirements: • Bachelor degree in Software Engineering or Electrical Engineering. • Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch. • Experience in software development, reinforcement learning, simulation, or data analysis is advantageous. • Familiarity with offshore wind farm simulators is advantageous. • Strong analytical, problem-solving, and communication skills. • Self-motivated and able to work independently and collaboratively in a research environment. • Entry-level candidates with strong technical potential are welcome to apply. We regret to inform you that only shortlisted candidates will be notified.
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