Summary
Linköping University is inviting applications for a PhD position focused on developing next-generation methods for understanding and predicting lithium-ion battery behavior through advanced diagnostic techniques. This research is vital for enhancing battery technology, with opportunities for collaboration with leading industrial partners.
PhD Scholarship in Next-Generation Methods for Battery Modeling and Diagnostics, Linköping University, Sweden
Designation
PhD Student in Next-Generation Methods for Battery Modeling and Diagnostics
Reference Number: LiU-2026-00385
Research Area
- Battery Diagnostics and Modeling
- Electrochemical Impedance Spectroscopy (EIS)
- Data-Driven Analysis
Location
Linköping University, Sweden
Eligibility/Qualification
- Master’s degree in:
- Computer Science
- Mechatronics
- Electrical Engineering
- Engineering Physics
- Applied Mathematics
- Alternatively, substantial knowledge in a related field through other means.
- Strong analytical skills and an interest in research.
- Proficiency in English; basic Swedish is an advantage.
Job Description
- Develop models and diagnostic methods for real-time battery condition monitoring.
- Collaborate with industrial partners like Husqvarna Group and Toyota Material Handling Europe.
- Conduct research integrating physics-based modeling with data-driven approaches.
- Duties may include teaching (up to 20% of total time) and departmental responsibilities.
How to Apply
Interested candidates should apply via the official Linköping University application portal by clicking the “Apply” button on the job listing page.
Last Date for Application
May 25, 2026
For further information and to apply, please visit Linköping University Job Page.
