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Forschungszentrum Jülich

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PhD Position in Physics-Based Battery Modelling, Parameterisation and Validation Forschungszentrum Jülich GmbH in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 1, 2026

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Country

Germany

University

Forschungszentrum Jülich

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Keywords

Computer Science
Chemistry
Mechanical Engineering
Electrical Engineering
Chemical Engineering
Materials Science
Energy Storage
Mathematics
Electrochemistry
Optimisation
Physics

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About this position

PhD opportunity in Physics-Based Battery Modelling, Parameterisation and Validation at Forschungszentrum Jülich GmbH, Institute of Energy Technologies – Fundamentals of Electrochemistry (IET-1), in Jülich, Germany.

The project focuses on battery modelling, electrochemistry, parameter estimation, optimisation, and electrochemical impedance spectroscopy. The successful candidate will develop, parameterise, and validate physics-based electrochemical battery models for dynamic charging/discharging, starting with test cells under controlled laboratory conditions and later extending methods to electric-vehicle operating data.

Research tasks include improving impedance-capable and multi-particle model structures, combining time-domain and frequency-domain measurements, performing laboratory battery measurements, analysing experimental and time-series data, and assessing model accuracy under different operating conditions and dynamic load profiles. The role also involves documenting and publishing results, presenting at meetings and conferences, and collaborating with researchers working on battery experiments, ageing, and model-based charging strategies.

Eligibility highlights: a Master’s degree in electrical engineering, mechanical engineering, chemical engineering, electrochemistry, physics, applied mathematics, computational engineering, or a related field; strong numerical modelling skills; MATLAB and/or Python programming; experience with experimental data analysis; and practical experience with battery test equipment and test-cell assembly. Experience with sensitivity analysis, identifiability analysis, and optimisation is highly desirable. English at B2 level or above is required; German is optional.

Funding: paid doctoral position, TVöD-Bund pay group 13 at 75%, fixed term of 3 years, with year-end bonus and capital-forming benefits.

Application deadline: 2026-09-01. Apply online through the job posting/career portal and consult the application information page for details.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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