Fraunhofer-Institutszentrum Stuttgart IZSstuttgart.fraunhofer.de
Student Assistant for LLM-Based Research in the »Quantum Machine Learning« Team (all genders)
- Location
- Stuttgart
- Remote
- On-site
- Employment type
- Student Jobs
- Experience
- Junior
- Field
- Social Work & Pedagogy
Requirements at a glance
- Enrolled student (Required)
- Python (Required)
- Quantum computing (Required)
- Quantum software frameworks (Preferred)
- LLM frameworks (Preferred)
- Agentic AI systems (Preferred)
- English (Required)
- German (Preferred)
RequiredPreferred
Today
Student Assistant for LLM-Based Research in the »Quantum Machine Learning« Team (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.
To strengthen our research activities, we are looking for a Student Assistant interested in exploring how large language models and agentic AI systems can support research in quantum algorithms and related fields. You will contribute to the development and evaluation of AI-assisted research workflows that combine scientific literature, mathematical reasoning, software tools, and automated verification to accelerate and improve research in quantum computing.
Be part of change
- You explore how large language models and AI agents can support research in quantum algorithms, quantum software, compilation, simulation, and related fields
- You develop prototypes of agentic research workflows for tasks such as literature exploration, algorithm comparison, circuit generation, resource estimation, and automated experimentation
Salary for this role
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