Your tasks
- Development of advanced electrochemical characterization procedures and data analysis tools, and their application on aging phenomena in rechargeable battery cells
- Preparation and optimization of test cells as well as test configurations in lab environment
- Evaluation of test cells by applying advanced electrochemical techniques during cycling and calendaric aging; post-mortem analysis and advanced physicochemical characterization
- Automatization of data processing and data analysis
- Establishing fundamental understanding of (nonlinear) degradation mechanism by cause-effect-correlations, e.g. roll-over-effect and other aging phenomena
- Derivation of prognosis capability based on comprehensive electrochemical characterization and description by empirical models
- Close collaboration with our (pre-)development teams for next steps in cell development in the field of LIB and PLIB batteries
Collaboration requires a commitment to scientific supervision by a university or research institution authorized to award doctorates. The thesis is defined jointly with the supervising professorship.
Your skills
- Master’s degree in material science, industrial engineering, chemistry, physics, or comparable education profiles
- Programming experience in MATLAB, Phyton, C++ or other programming languages
- High affinity to experimental tasks and willingness to do a deep dive in battery cell chemistry
- Good communication skills, team–minded, ability to work independently
What we offer
- We are offering a 3 year employment contract and advantageous professional development opportunities
- Direct impact in state-of-the-art battery pre-development processes
- Supervision and support by our development engineers
- Home-Office Opportunity and flexible working times