Postdoc: Physics-Informed Battery Ageing Diagnostics

Karlstad University; Göteborgs kommun; On-site; SEK 420,000 - 520,000; Full time

Job summary

Chalmers University of Technology in Gothenburg invites a postdoctoral researcher to join the Division of Automatic Control in the Department of Electrical Engineering. The project focuses on physics-informed methods for diagnosing and predicting lithium-ion battery ageing, using laboratory and real-world data.

You will work across electrochemistry, machine learning, and control theory, publish in top journals, and collaborate with academic and industrial partners.

Qualifications

• A doctoral degree or an equivalent foreign degree.
• Strong written and verbal English communication.
• Ability to conduct independent research and collaborate across disciplines.

Responsibilities

• Conduct research and publish in leading journals and conferences.
• Plan and conduct battery simulations and some experiments.
• Analyze data and develop/validate diagnostic and prognostic models.
• Collaborate with automatic control, battery modelling, and experimental teams.
• Mentor Master's and PhD students; possibly teach at undergraduate/masters level.

Skills

Python

MATLAB

Machine learning

English

Research independence

Education

PhD in battery science or related field

Tools

LabVIEW

Simulink

COMSOL

Job description

Chalmers University of Technology in Gothenburg invites a postdoctoral researcher to join the Division of Automatic Control in the Department of Electrical Engineering. The project focuses on physics-informed methods for diagnosing and predicting lithium-ion battery ageing, using laboratory and real-world data.

You will work across electrochemistry, machine learning, and control theory, publish in top journals, and collaborate with academic and industrial partners.