The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Research Associate.
Key Responsibilities:
- Formulate and develop solutions to optimization problems on the topic of electric vehicle charging for vehicle fleets with considerations for demand-supply balance, impact on batteries, vehicle-to-grid interactions, etc.
- Collaborate closely with our partner ITB to apply solutions in a local context, using data available with ITB.
- Assist ITB in the development of their digital twin platform by integrating the solutions developed in NTU into their platform.
Job Requirements:
- Masters in Computer Science, Electrical Engineering or equivalent disciplines
- Background in the application of optimization techniques, including reinforcement learning
- Background in the modeling of energy management systems (e.g., buildings, batteries, smart grids, etc.)
We regret that only shortlisted candidates will be notified.