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# Postdoc Battery Health Assessment for Energy Storage Systems

- **Company:** TU Delft
- **Location:** Delft, Netherlands
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), MATLAB, Operational Data Store
- **Published:** October 14, 2026
- **Apply:** https://www.academictransfer.com/en/jobs/364705/postdoc-battery-health-assessment-for-energy-storage-systems/apply/

## About the Role

* You have a PhD degree in Electrical Engineering or a related engineering discipline from a well-established university.
 * A solid background in battery management systems, battery ageing, battery diagnostics, and power electronics.
 * Experience with electrochemical impedance spectroscopy or other frequency-domain battery characterisation techniques.
 * Experience with experimental battery testing and analysis of measurement data.
 * Experience with scientific programming and data analysis using Python, MATLAB or comparable tools;
 * A good command of written and spoken English.

## Description

Battery energy storage systems are playing an increasingly important role in the transition towards renewable and resilient power systems. To operate these systems safely and efficiently throughout their lifetime, reliable information about battery health and degradation is essential. Conventional battery monitoring methods, however, provide limited insight into the internal electrochemical processes that determine ageing and performance.

Electrochemical impedance spectroscopy (EIS) offers a promising way to obtain this information. Translating EIS from controlled laboratory measurements to practical large-scale battery energy storage systems introduces new scientific and engineering challenges. These include extracting robust health indicators under varying operating conditions, combining impedance information with operational data, and implementing impedance measurements using existing power-electronic hardware.

In this postdoc project, you will develop impedance-based and data-driven methods for advanced battery health assessment and investigate their integration into battery energy storage systems. Your research will bridge battery diagnostics, artificial intelligence and power electronics, with a strong focus on methods that can ultimately be applied in industrial BESS applications.

The project is carried out in collaboration with Sungrow, providing an opportunity to work at the interface between academic research and industrial battery energy storage technology. You will collaborate with researchers and engineers from TU Delft and the industrial partner and contribute to scientific publications and the dissemination of project results.

The postdoc will work in the DC Systems, Energy Conversion and Storage (DCE&S) group of the Department of Electrical Sustainable Energy at TU Delft. The group conducts research and education in energy storage, DC systems, power electronics, electric mobility and renewable energy integration.