Changfu Zou

This postdoctoral position at Chalmers University of Technology offers an exciting opportunity to contribute to innovative research at the intersection of battery systems, data-driven modelling, and optimisation. Hosted by the Division of Systems and Control within the Department of Electrical Engineering, the project focuses on developing safer, faster, and longer-lasting charging strategies for lithium-ion batteries. The research addresses key challenges such as lithium plating and battery ageing, aiming to optimise fast-charging parameters through data-driven methods and robust control strategies. The project is funded by the Swedish Research Council and the Swedish Innovation Agency (Batteries Sweden), ensuring full financial support and access to state-of-the-art facilities. The postdoc will collaborate with leading academic and industrial partners, including Uppsala University, Volvo Trucks, ABB, and Husqvarna. There is also the potential to apply for the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship in 2026 with the support of the host group. Applicants must hold a doctoral degree (or equivalent) by the time of employment and demonstrate strong English communication skills. Preferred backgrounds include automatic control, electrical engineering, computational materials science, or related fields, with experience in battery testing, machine learning, data-driven optimisation, and/or robust control. The position is full-time for two years, with the possibility of a one-year extension, and requires physical presence in Gothenburg, Sweden. Chalmers offers a dynamic, inclusive work environment with comprehensive employee benefits, support for international staff, and a commitment to gender equality. To apply, submit your application via the Chalmers online portal by April 24, 2026. Required documents include a CV, publication list, and a personal letter outlining your research experience and future goals. Incomplete applications or those sent by email will not be considered. For further information, contact Professors Changfu Zou or Torsten Wik.

This postdoctoral position at Chalmers University of Technology offers a unique opportunity to advance research in data-driven modelling and optimisation for fast charging of lithium-ion batteries. Hosted by the Division of Systems and Control within the Department of Electrical Engineering, the project addresses critical challenges in battery ageing and safety, focusing on lithium plating and its impact during rapid charging cycles. The research aims to develop safer, faster, and longer-lasting charging strategies for Li-ion cells through two complementary approaches: testing commercial cells under various stress factors to identify optimal fast-charging parameters using data-driven optimization, and designing optimal control strategies on laboratory three-electrode cells with anode potential feedback. Transfer learning and robust control methods will be applied to generalize findings to commercial battery cells. The project is funded by the Swedish Research Council and the Swedish Innovation Agency (Batteries Sweden), ensuring full-time employment for two years with the possibility of a one-year extension. The postdoc will collaborate with leading partners including Uppsala University, Volvo Trucks, ABB, and Husqvarna, and may be eligible to apply for the Marie Skłodowska-Curie Postdoctoral Fellowship in 2026. Chalmers provides a dynamic and inspiring work environment in Gothenburg, with employee benefits such as parental leave, subsidized day care, free schools, and healthcare. The university is committed to gender equality and offers Swedish language courses for international staff. Applicants must hold a doctoral degree or equivalent by the time of employment decision and demonstrate strong written and verbal English skills. Preferred backgrounds include automatic control, electrical engineering, computational materials science, or related fields, with research experience in battery testing, machine learning, data-driven optimization, and robust control. The position requires physical presence in Gothenburg and a valid residence permit at the start date. To apply, submit your application online by April 24, 2026, including a comprehensive CV, publication list, teaching experience summary, and a personal letter outlining your research background and future goals. Incomplete applications and those sent by email will not be considered. References will be requested after the interview. For further information, contact Professors Changfu Zou and Torsten Wik at Chalmers University of Technology.