Summary from listing
Ericsson is seeking a Master’s thesis student to research and implement a safe stochastic navigation system for a mobile robot using output from a quantum random number generator. The student will select and evaluate route-selection algorithms, compare QRNG-based stochastic selection with deterministic pseudorandom approaches, configure the robot in an office environment, integrate it with a QRNG, and assess impacts on congestion, path reuse, and predictable behavior. The role requires an MSc student in robotics, autonomous systems, electrical engineering, engineering physics, computer science, or a related field, strong Python skills, familiarity with robotics and machine learning, and the ability to manage a 20-week independent research project.
