A leading science research institute is offering a Master Thesis Placement in system-identification of the SLS2 storage-ring RF. Students will model the RF system, assess RF-modulation effects, and explore methods to improve beam quality. Foundational knowledge in mathematics and proficiency in programming with Python or Matlab are essential. This position is a great opportunity for students interested in RF-systems and particle accelerators, with a preference for starting in early 2026. #J-18808-Ljbffr