Werkstudent Quantum-Machine-Learning (m/f/d)

Experimental implementation, testing and evaluation of QML algorithms on simulators and real hardware Creation of web apps and including implementation on MS Azure Design and implementation of demonstrators for exhibitions, conferences and training Working with the creation of training materials, programming exercises and knowledge databases

Continuous studies in physics, mathematics, computer science or a related study programme Very good knowledge of German and English Funded knowledge in quantum computing and machine learning, including common QC algorithms and QML methods Extensive programming experience with Python/Qiskit and ideally other frameworks and experience with MS Azure Ability to explain complex content in a comprehensible manner and to prepare it clearly Interest in efficient, innovative solutions for practical issues Self-employed and structured work

Attractive remuneration and flexible working hours Variety of further development on the Schaeffler Academy Health and sports, e.g. through the Schaeffler Health Coach App Opportunities for networking in an international environment through a variety of networking options (e.g. student master table and student binding program) Valuable working atmosphere A certified restaurant Many other employee benefits, including corporate benefits Further information on the job The site is located at the Schaeffler research facility SHARE at FAU Erlangen-Nürnberg, where we work together with chairs of the FAU on topics in the field of AI and digitalization. The basic prerequisite for a plant student job at Schaeffler is the detection of an enrollment during the activity. This place must be occupied from now on. .