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Postdoc in Physics-Informed Machine Learning and System Identification for Battery Systems
Chalmers University of Technology

Postdoc in Physics-Informed Machine Learning and System Identification for Battery Systems

2026-07-31 (Europe/Stockholm)
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A propos de l'employeur

Our goal is to focus on competence, knowledge and collaboration in order to play an important, demonstrable role in social development.

Visitez la page de l'employeur

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.

About us 

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

About the research project  

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.

Who we are looking for 

The following requirements are mandatory: 

  • A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made  
  • Strong written and verbal communication skills in English 

The following experience will strengthen your application: 

  • A doctoral degree in automatic control, applied mathematics, electrical engineering, computer science, physics, computational science or a related field.
  • Strong background in system identification, dynamical systems, machine learning, scientific machine learning, inverse problems, optimisation, state estimation, uncertainty quantification or related areas.
  • Experience in developing and analysing algorithms for complex physical or engineering systems.
  • Strong programming skills, for example in Python and/or MATLAB, and a strong publication record.

What you will do 

  • The major responsibility of the postdoc position is to (1) pursue research in line with the project, (2) based on the results, publish and present high-quality scientific articles, and (3) take part in discussions
  • Possibility to supervise master’s student and co-supervise PhD students
  • Possibility to engage in teaching at undergraduate/master’s level

The position is meritorious for future roles in academia, industry, or the public sector. 

Contract terms  

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. 

What we offer 

  • As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about  working at Chalmers  and our benefits  for employees. 
  • A dynamic and inspiring working environment in the coastal city of Gothenburg
  • Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg. 

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. 

Application procedure 

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. 

CV 

  • A comprehensive CV, including a complete list of publications and a brief overview of the most relevant MSc- and PhD-level coursework, including grades where applicable.
  • Details of previous teaching and pedagogical experience (if applicable, briefly summarized, max. half a page). 

Personal letter (max. 2 A4 pages) including:

  • Your motivation for pursuing a postdoctoral position at this stage of your career.
  • Why you are specifically interested in this position and the research project at Chalmers.
  • How your previous research experience, technical skills and key achievements prepare you to contribute to the project.
  • Your initial scientific ideas, potential research directions or methodological contributions relevant to the position.

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.

For questions, please contact: 

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. 

Détails de l'offre

Titre
Postdoc in Physics-Informed Machine Learning and System Identification for Battery Systems
Localisation
Maskingränd 2 Göteborg, Suède
Publié
2026-06-29
Date limite d'inscription
2026-07-31 23:59 (Europe/Stockholm)
2026-07-31 23:59 (CET)
Type de poste
Enregistrer le travail

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A propos de l'employeur

Our goal is to focus on competence, knowledge and collaboration in order to play an important, demonstrable role in social development.

Visitez la page de l'employeur

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