Postdoc Battery Health Assessment for Energy Storage Systems (Delft, NL, 2628 CD)

Develop next-generation battery diagnostics for large-scale energy storage. In this postdoc, you will combine EIS, data-driven modelling and power electronics to advance battery health assessment. 

Job 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.

Would you like to know more about the ESE department and the DCE&S group? Please take a look at the webpage www.tudelft.nl/ewi/ese.

Job requirements

Who are we looking for?

• 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.

TU Delft (Delft University of Technology) 

Working at TU Delft means contributing to solutions that really make a difference. 

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. 

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. 

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. 

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward. 

Faculty of Electrical Engineering, Mathematics and Computer Science 

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment. 

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science. 

Conditions of employment 

• Duration of contract is 1 year. Temporary.
• A job of 38-40 hours per week. 
• Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
• An excellent pension scheme via the ABP. 
• The possibility to compile an individual employment package every year. 
• Discount with health insurers on supplemental packages. 
• Flexible working week. 
• Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget. 
• Plenty of opportunities for education, training and courses. 
• Partially paid parental leave 
• Attention for working healthy and energetically with the vitality program. 

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.  . 

Additional information
If you would like more information about this vacancy or the selection procedure, please contact Dr. Zian Qin, via [email protected]. For information about the selection procedure, please contact Sharmila Rattansingh, management assistant, email: [email protected].

Application procedure
Are you interested in this vacancy? Please apply no later than 27 October 2026 via the application button and upload the following documents:

• CV
• Motivational letter addressed to Dr. Zian Qin that explains your personal motivation in pursuing a Postdoc in general, and this topic in specific, and why you would be an excellent fit to the job requirements. Please do not use ChatGPT or other tools for providing a standard/non-personalized letter
• PhD degree or proof of defense date

You can address your application to Dr. Zian Qin. NOTE that applications will be assessed on a rolling basis and suitable candidates will be invited for interview, so it is recommended not to wait until the deadline with your application. Incomplete applications will not be considered.

Please note:

• You can apply online. We will not process applications sent by email and/or post. 
• As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
• Please do not contact us for unsolicited services.