Student Assistant for applied Machine Learning in the »Quantum Computing« Team (all genders)

Fraunhofer-Gesellschaft · Stuttgart

HiWiGerman needed: none

Still open on 2 Nov

You apply on the company's own website.

Key facts

Pay: Paid by a company pay agreement for assistants
Duration: 12 months; Could continue longer after the first year
Language needed: English
Subject you study: Computer Science, Artificial Intelligence, Data Science, Mathematics, Physics

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

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

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

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