Student Assistant for Quantum Computing Training and Education (all genders)

City: Stuttgart Date: Oct 21, 2026

Student Assistant for Quantum Computing Training and Education (all genders)

The Fraunhofer-Gesellschaft is one of the world's leading organizations for application-oriented research. 74 institutes develop pioneering technologies for our economy and society – more precisely: 30 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

The Quantum Machine Learning team at Fraunhofer Institute for Industrial Engineering IAO in Stuttgart conducts research on quantum computing-based data processing and develops machine learning methods in support of quantum technologies. The team is part of flaQship, the Fraunhofer Lab for applied quantum computing Stuttgart-Heilbronn, which unites the expertise of Fraunhofer Institute for Industrial Engineering IAO and the Fraunhofer Institute for Manufacturing Engineering and Automation IPA. Within flaQship, the research area Quantum Service Engineering and High-Performance Computing focuses on making quantum computing usable as service-oriented applications, on integrating quantum resources into existing IT workflows, and on operating the laboratory and High-Performance computing infrastructure on which our research, trainings and demonstrators rely.

Our quantum-computing training program combines lectures on fundamental and advanced concepts with practical coding sessions. We are looking for a Student Assistant to help keep these materials accurate, engaging, and up to date. You will revise and extend lecture slides, coding notebooks, exercises, and example solutions, while ensuring compatibility with current quantum software frameworks. Depending on your experience and interests, you may also deliver lectures, lead coding sessions, and support participants during workshops. This role is ideal for someone who enjoys quantum computing, programming, teaching, and communicating complex technical topics clearly.

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