Student for thesis Characterization of Battery Anodes for P2D Models

Life is always about becoming... Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.

Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.

Job ID: MER0003XLT P2D models are ideal for predictions of electrochemical behaviours of cells for electric vehicle application since You strike the right balance between complexity and predictive power. Solid-state diffusion is a process within the electrode that critically influences the rate capabilities during discharge and discharge. In P2D models, this process is not fully understood especially in anodes search as graphite. Currently existing methods of modelling and characterization, generally implemented in cathodes, does not fully work on graphite due to additional effects search as occurrence of phase transitions which necessitates alternative methodologies. The cell modelling lab focuses on the development of search methodologies. The focus of the work is to characterize solid-state diffusion through experiments and implement it in a P2D model. Contents of the Master's Thesis Building graphite half cells (EL cells) of different electrode variations search as very thin electrodes, thickness variations and particle size variations Perform C-Rate tests at different temperatures Obtaining diffusion coefficients through fitting Use the obtained results to capture the behaviours of all electrode variations

The final topic determination takes place in consultation with the university, you and us. The activity can begin from April 2026.

Study: Engineering/Natural Sciences or anything comparable Basics of electrical engineering Laboratory experience Interest to work on cell assembly and testing in the laboratory Basic levels of programming and basic familiarity with MATLAB Additional information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as ''relevant for this application' in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here. Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-Untertuerkheim@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).

Meal discount Mobile Phone for Employees Possible Discounts for Employees Possible Annual Profit Share Possible Events for Employees Coaching Flextime possible Hybrid Work Possible Health Benefits Company Retirement Mobility Offers Parking Canteen, Café Barrier-Free Workplace Inhouse Doctor Good Public Transport