Student Assistant for LLM-Based Research in the »Quantum Machine Learning« Team (all genders)

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 You connect AI agents with scientific tools, including quantum software frameworks, numerical simulators, symbolic mathematics systems, literature databases, and code repositories You design benchmarks and test cases to evaluate mathematical correctness, physical consistency, reproducibility, and practical usefulness You investigate and compare approaches such as prompting, retrieval-augmented generation, tool use, planning, reflection, and multi-agent systems You analyze failure modes, including hallucinated references, incorrect derivations, invalid quantum circuits, unreliable code, and misleading claims of quantum advantage You implement and evaluate proof-of-concept systems in Python and assess their applicability in scientific research workflows You document methods, experiments, and results in a reproducible manner and contribute to internal reports, presentations, software tools, and scientific publications You regularly discuss your progress, findings, and research ideas with the project team and contribute to shaping future research directions

You are an enrolled student in physics, mathematics, computer science, or a related field You have good Python programming skills and a basic understanding of quantum computing You are interested in large language models, AI agents, and scientific software development You work independently and in a structured manner, are curious about new technologies, and take a critical approach to AI-generated results You are motivated to explore research questions at the intersection of artificial intelligence and quantum computing Experience with quantum software frameworks, large language model frameworks, or agentic AI systems is beneficial but not required You have good German or English skills, German is an advantage but not required

Insights into application-oriented research and current, innovative topics A pleasant working atmosphere in a motivated team Equal opportunities, accessibility, and diversity Responsible tasks that will help you develop your skills State-of-the-art technology and working environment Flexible working time models Transparent and fair remuneration Connection to our student network Sports facilities at the University of Stuttgart