Postdoctoral Research Visit: Optimizing EV Charging Infrastructure and Power Allocation in Electromobility Networks
il y a 4 semaines
Research Context and Objectives
This research position is part of the PEPR Digitalisation et Décarbonation des Mobilités initiative, focusing on optimizing EV charging infrastructure and power allocation in electromobility networks. The research will be conducted by the DANCE research team at INRIA, with a strong expertise in modeling, estimation, and control of large-scale networks.
Scientific Background
The research will build upon the eMob-Twin simulation tool, driven by digital twin technology, and will aim to optimize the placement of charging stations and power delivery density per unit area. The work program includes several key areas of development, focusing on model extensions, large-scale optimization challenges, and software implementation.
Key Activities
- Expanding the existing model to incorporate additional nodes representing Charge Stations with actual capacity, driver-user price models, and their integration with the grid.
- Devising highly efficient optimization algorithms for charge station placement and power delivery density per unit area within the expanded model framework.
- Integrating the developed algorithms into eMob-Twin V2 and conducting comparative analyses of optimization outcomes with those provided by policymakers and urban planners.
Requirements and Benefits
- Optimization, Applied mathematics, physical modeling, and AI expertise.
- Subsidized meals, partial reimbursement of public transport costs, and leave benefits.
- Possibility of teleworking and flexible organization of working hours.
- Professional equipment available, social, cultural, and sports events, and access to vocational training.
Compensation
- 2788 euros/month gross salary.
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