Summary
Linköping University is offering a PhD position focused on developing innovative battery diagnostics and modeling techniques. The research aims to enhance our understanding of lithium-ion battery behavior under real operating conditions, contributing to advancements in battery technology.
PhD Student in Next-Generation Methods for Battery Modeling and Diagnostics, Linköping University, Sweden
Designation
PhD Student in Next-Generation Methods for Battery Modeling and Diagnostics
| Attribute | Details |
|---|---|
| Research Area | Battery Diagnostics and Modeling |
| Location | Linköping University, Sweden |
| Eligibility/Qualification | Master’s degree in Computer Science, Mechatronics, Electrical Engineering, Engineering Physics, Applied Mathematics, or related fields, or equivalent qualifications. Strong skills in applied mathematics, control, and dynamic systems modeling are essential. |
| Job Description | The PhD student will develop dynamic Electrochemical Impedance Spectroscopy (EIS) methods to collect high-resolution battery data and create models that translate this data into indicators of battery health and performance. Collaboration with industrial partners will provide real-world applications and validation of the research. Teaching or departmental duties may comprise 20% of full-time. |
| How to Apply | Interested candidates should apply through the Linköping University application portal by clicking the “Apply” button. Ensure that all relevant documents are submitted as part of your application. |
| Last Date to Apply | May 25, 2026 |
Additional Information
The position is a unique opportunity to engage in cutting-edge research with significant industrial relevance, supported by leading partners in the field. For further inquiries, contact Lars Eriksson at lars.eriksson@liu.se or Karin Blomdahl at karin.blomdahl@liu.se.
Explore more about your future at Linköping University and apply for a chance to contribute to transformative battery technologies!
