Description
Bosch is seeking a master's student to conduct a six-month thesis on robust system identification for electric drives. The work involves developing diagnostics for parameter identifiability, sensitivity, and convergence; analyzing excitation content and identification quality; evaluating the approach with a practical benchmark; documenting and presenting findings; and extending the method to partially observable states such as temperature. The role requires a relevant master's degree, basic knowledge of dynamic systems and differential equations, Python proficiency, understanding of electrical-machine physics, independent analytical work, and office attendance.
