Student Assistant for Software Engineering in the Field of »Quantum Machine Learning« (all genders)
Fraunhofer-Gesellschaft Heilbronn, Baden-Württemberg, Germany
Research Services · 51-200 employees
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About the role
You will develop and integrate software components for quantum computing and high-performance computing stacks. This includes implementing schedulers, session management, and monitoring tools while applying sound software engineering practices.
What they look for
Requirements
The role requires a student with a strong background in software engineering and experience with Python frameworks. Candidates should be capable of analyzing complex architectures and integrating them into existing quantum software ecosystems.
Full description
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.
To strengthen the research area Quantum Service Engineering, we are looking for a Student Assistant with a strong background in software engineering who will work closely with the research area lead on the integration of High-Performance computing and quantum computing resources in the quantum software stack.
Be part of change
- You turn research concepts from the field of quantum software engineering into working software, for example schedulers, session management, monitoring components and workflow integrations
- You implement components for the quantum software stack, and you contribute to integrating these solutions into the software tools of flaQship and the national quantum computing software stack developed in the »FullStaQD« project
- You analyse architectures, interfaces and workflows encountered in our projects and evaluate how they can be applied in our own software
- You work with existing Python frameworks and tools from the quantum computing ecosystem, such as Qrisp, Qiskit, PennyLane and QDMI-based tooling, and integrate them into our solutions
- You apply sound software engineering practices on our GitLab platform, including version control, testing, continuous integration and documentation
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