Tasks
* You conduct thorough literature reviews
* You develop a physics-based model for the ageing of Li-ion batteries
* You collection aging test data for different cell types
* You prepare and analyse aging test data
* You take care of the calibration and parameterization of model based on aging test
* You take responsibility for the validation of a model
* You do regular report on progress status
Qualification
* You are an enrolled Master's student (m/f/d) specialising in electrical engineering, mechanical engineering, engineering sciences or physics
* You can complete your mandatory internship with us before your Master's thesis
* You have knowledge of the basics of Li-ion batteries
You have background knowledge in Li-ion batteries and their degradation mechanisms
* You have very good knowledge of MATLAB/MATLAB Simulink
* You possess problem-solving skills to tackle challenges effectively
* You are motivated, self-driven and eager to contribute to our team
* You have an independent and goal-oriented way of working
What we offer
Shape the mobility of tomorrow
Work on innovative and cutting-edge challenges.
Work flexible
Our flexible model of scheduling work, our attractive remote-work-model and our office daycare (site-dependent) center will allow you to find a perfect balance between your personal and professional life.
Expand your horizons
Not only will working on new technologies every day help you improve yourself, but our continuing education program will also help you stay up to date at all times.
Keep in shape
An extensive offering of company sports activities (site-dependent) and company health management will keep you in shape and ensure you are well balanced.
Experience appreciation
An attractive base salary and numerous other benefits offer new opportunities for you.
Personal contact
Nicole Bahr
Human Resources
Phone +492415689355
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