Student Assistant for applied Machine Learning in the »Quantum Computing« Team (all genders)
Fraunhofer-Gesellschaft · Stuttgart
HiWiGerman needed: none
Still open on 2 NovWhat you will do
- You develop and evaluate novel tensor network algorithms for machine learning and data analysis applications
- You investigate and implement advanced approaches such as tensor density estimation and tensor-based learning methods
- You analyze research questions, design experiments, and assess the performance of newly developed methods
- You work closely with our researchers to advance the state of the art in tensor network and quantum-inspired machine learning
- You contribute to scientific publications and present research results to the international research community
What you need
- You are an enrolled student in Computer Science, Artificial Intelligence, Data Science, Mathematics, Physics, or a related field
- You have a solid understanding of linear algebra and feel comfortable applying its concepts to solve practical problems
- You have a basic understanding of machine learning concepts and can explain and work with fundamental methods such as linear regression
- You are comfortable programming in Python and have hands-on experience with PyTorch, including implementing and adapting neural network models
- You have good English skills, German is an advantage but not required
- You are highly motivated to learn, enjoy diving deep into technical topics, and have a genuine curiosity for understanding how things work