Working Student Applied Artificial Intelligence (m/f/d)

Design, implementation and testing of AI algorithms, in particular Reinforcement Learning Support for the implementation of research projects and the preparation of new topics Support in the planning, implementation and commissioning of AI demonstrators for exhibitions, fairs and trainings Help with the organisation and implementation of workshops and other events

Continuous studies of engineering, mathematics, computer science or related studies Very good knowledge of German and English Very good knowledge in machine learning / deep learning, ideally also Reinforcement Learning Founded programming experience with Python, especially PyTorch Affinity for engineering questions Self-employed and organised work Impressed team skills and very good communication skills

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. .