Post-Doctoral Research Visit F/M Physics-Informed Learning Models for Forecasting E-Flexibility in Electric Vehicles (EVs)
Inria
France
Summary
Postdoctoral research position in hybrid electromobility modeling at a Grenoble research center. Develop graph-based, physics-informed models from large mobility and OD data to predict EV flows, energy demand and SoC; integrate with the eMob-Twin platform for charging, grid and V2G planning.
