Velg regionen som passer best for din plassering eller dine preferanser.
Denne innstillingen kontrollerer språket for brukergrensesnittet, inkludert knapper, menyer og all tekst på nettstedet. Velg ditt foretrukne språk for best brukeropplevelse.
Velg språkene for stillingsannonser du vil se. Denne innstillingen bestemmer hvilke stillingsannonser som vises for deg.
Do you want to contribute to cutting-edge research at the intersection of automatic control, machine learning and battery technology? We are seeking a postdoctoral researcher to join the Division of Systems and Control, Department of Electrical Engineering, Chalmers University of Technology. The position focuses on developing advanced learning, inference and modelling methods for complex systems, with battery systems as a key application domain.
At the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and electrification in areas ranging from transport and production systems to communication solutions and biomedical engineering.
The Automatic Control division conducts research and education in the analysis and control of dynamic systems. Our work combines fundamental control theory with applications in areas such as transportation, environmental and biological systems, and electric power systems. The division also teaches control engineering at both undergraduate and graduate level at Chalmers, including within the master’s programme Systems, Control and Mechatronics.
Many important processes in battery systems cannot be directly observed from routinely available measurements, which limits the accuracy, robustness and interpretability of existing models. This project aims to develop new physics-informed and data-driven methods for learning, modelling and predicting complex dynamical behaviour from limited measurement data. The work will combine system identification, state estimation, optimisation, scientific machine learning and physical battery modelling. The research will involve the development of new algorithms and computational methods, supported by theoretical analysis and validation using simulation, laboratory experiments and real-world battery data.
The postdoc will work in an interdisciplinary environment at the interface of automatic control, artificial intelligence and electrochemical energy storage. The position will also involve close collaboration with another postdoctoral researcher working on a complementary project in battery ageing analysis and diagnosis. Together, the two projects will connect methodological innovation with experimental and real-world battery applications.
This project is mainly funded by the Swedish Research Council. Through this project, the postdoc will have opportunities to collaborate with academic and industrial partners (e.g., Uppsala University and Volvo Trucks, ABB, and Husqvarna). Additionally, the postdoc may have the opportunity to be hosted by our group to apply for the Marie Skłodowska-Curie Postdoctoral Fellowship in 2026, for which we have a strong track record.
The following experience will strengthen your application:
The position is meritorious for future roles in academia, industry, or the public sector.
The position is a temporary full-time employment for two years with the possibility of a one-year extension.
The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.
Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence.
If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.
The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.
Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.
We welcome your application no later than July 31.
Please note that applications may be reviewed and interviews may be conducted on an ongoing basis before the application deadline. We therefore encourage you to submit your application as soon as possible rather than waiting until the closing date.
Name: Changfu Zou
Title: Professor
Email and/or phone number: [email protected]
*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.
Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.
Our goal is to focus on competence, knowledge and collaboration in order to play an important, demonstrable role in social development.
Besøk arbeidsgiverens side