Postdoc in Charging station operation and optimization in the era of V2G

at  Chalmers

We offer a great opportunity for a highly motivated postdoctoral researcher to join our team working at the forefront of transport and energy systems. Based with a beautiful Nordic city, you will benefit from a competitive salary, a collaborative work environment, and strong ties to both academia and industry. As part of our team, you will have access to an unparalleled dataset of real-world charging station data from a large number of European cities, complemented by rich synthetic data. This unique resource empowers you to conduct cutting-edge research with great impacts.
Chalmers is a great university for young researchers to grow, with ample opportunities for skill and career development. The team can also offer opportunities in teaching, supervision, and proposal writing as part of career development.

PROJECT DESCRIPTION

This project examines the impacts of charging station ownership models on the potential of vehicle-to-grid (V2G) technology. Based on real-world and synthetic data in the transport and energy sectors, this project establishes a comprehensive understanding of the charging station market and charging patterns. The research focuses on how commercial and public operators can optimize operational strategies (e.g., charging scheduling) to balance profit and social objectives, including grid management and equity in EV usage. An innovative approach will study competitive dynamics between different ownerships, operational objectives, and their socioeconomic impacts. Findings will inform strategic planning for charging infrastructure, aiming to improve sustainability, accessibility, and efficiency in the transport and energy sectors. The project is funded by the Swedish Energy Agency. English is the working language.
You will carry out research within the research area of urban mobility systems, at Department of Architecture and Civil Engineering, in collaboration with researchers from Department of Electrical Engineering, and Department of Space, Earth and Environment.

QUALIFICATIONS

The applicant should have a PhD degree in transport, operations research, applied mathematics, computer science, or similar topics. Experience with optimization or game theory is mandatory, and data-driven or machine-learning skills are meritorious.
The candidate must have the PhD degree in hand before enrollment, but it is not required during the application. This means graduating PhD students are also welcome to apply for the position, but we expect the candidate to join us in the spring of 2025. Candidates who received their PhD degree within the last three years will be prioritized.

The major responsibilities of the postdoc are to conduct research within the framework of the given project. We prioritize self-driven candidates who can work efficiently both independently and in collaboration with a team.
Good communication skills are essential, as you will be expected to present your research to a variety of stakeholders—whether through presentations at conferences or through publishing scientific papers.