Research Scientist - Digital Energy & AI (NTU)

About the role

NTU is seeking a highly motivated Research Scientist to lead research on key digital energy technologies based on AI and digital twin, such as Smart Microgrid, Energy Storage Systems, Vehicle-to-Grid, Virtual Power Plant, Multi-Energy Coordinated Scheduling and Energy Internet. The role focuses on digital energy system modelling, intelligent optimisation and collaborative control.

Key responsibilities

• Carry out in-depth research in digital energy, developing AI models and algorithms for energy generation prediction, grid and load analysis and storage charging/discharging strategies.
• Promote digital twin technology by building high-fidelity virtual models, enabling real-time monitoring, fault early warning and intelligent decision optimisation.
• Write high-level academic papers for top international journals and conferences, and take part in patent applications.
• Guide doctoral and master's students in related research.
• Manage scientific research projects end to end, planning progress and coordinating resources.
• Engage with local research institutions, energy companies and government bodies in Singapore on industry-university-research projects.

Required profile

• PhD in Computer Science, Computer Engineering, Electrical & Electronic Engineering or a related discipline.
• In-depth research experience in at least one digital energy sub-field, with papers or patents.
• Ability to design research plans, run experiments and analyse data, taking on key technical research roles.
• Fluent spoken and written English for research work.

Required skills

• Proficiency in Python, PyTorch and similar tools.
• Independent data processing, model construction and algorithm optimisation.