Working Student (f/m/d) - Quantum Machine Learing Researcher

Key Highlights

• In this role, you’ll support SAP’s Quantum Machine Learning activities by working on QML models, helping to validate mathematical concepts, and assisting the QML Lead in day-to-day research and development tasks
• You’ll be responsible for contributing to the mathematical validation of QML approaches and supporting the team’s exploration of how quantum computing methods can be applied in a business context
• Your work will feed into SAP’s ongoing efforts to understand and develop practical applications of Quantum Machine Learning — giving you direct exposure to applied research in an emerging technology area
• You’ll work closely with SAP’s QML Lead in a small, focused team. The role starts with clearly scoped tasks and guided collaboration, with more responsibility added as you grow into the position. You’ll have a dedicated point of contact for mentoring and questions throughout your internship
• You’ll build foundational knowledge in Quantum Information Sciences, core quantum computing algorithms, and the mathematical methods underlying QML — a solid starting point for anyone interested in pursuing a career at the intersection of quantum computing and machine learning