Tasks
You will assist in familiarizing yourself with the modeling of high-voltage batteries, focusing on thermal and electrochemical aging mechanisms, as well as conducting comprehensive literature research.
You will support the development and implementation of AI-based approaches to model optimization that integrate thermal effects such as temperature distribution and swelling, and electrochemical influencing factors such as power loss distribution and anode potential.
You will assist in analyzing the interactions between thermal and electrochemical processes and their influence on aging.
You will support the comparison and evaluation of the developed models in terms of accuracy, data requirements, and application flexibility.
You will assist in identifying further potential for model improvement and testing their integration into existing systems.
Requirements
You are currently studying mechanical engineering, automotive engineering, mechatronics, electrical engineering, computer science, applied mathematics, or a comparable field of study.
You have knowledge in the field of high-voltage batteries and/or thermodynamics.
Ideally, you have experience with simulation tools such as For example, MATLAB/Simulink and ideally programming skills in Python.
Your strengths include strong analytical and conceptual skills as well as the ability to work independently.
You are motivated to demonstrate your excellent communication skills and service orientation in a team with helpful and friendly colleagues.
Things to know before you leave:
Requirement: Valid enrollment at a college or university.
Contract type: Freelance (self-employed)
Start: September 2025 or later
Duration: 6 months
Other: A valid residence permit authorizing the completion of a thesis as part of a self-employed activity is required.
For more detail, salary and company information, use the apply link