Student Assistant for Applied Machine Learning in the Quantum Computing Team

Fraunhofer IAO's Quantum Computing team studies tensor-network methods for anomaly detection, combining quantum computing and machine learning. The position is initially limited to one year; longer-term employment is desired.

What you will do

• Develop and evaluate tensor-network algorithms for machine learning and data analysis, including tensor density estimation and tensor-based learning.
• Analyze research questions, design experiments and assess the performance of new methods.
• Work with researchers on tensor-network and quantum-inspired machine learning.
• Contribute to scientific publications and present research results to the international research community.

What the employer asks

• Enrolled in computer science, artificial intelligence, data science, mathematics, physics or a related field.
• Solid understanding of linear algebra and a basic understanding of machine learning, including methods such as linear regression.
• Comfortable programming in Python, with hands-on PyTorch experience implementing or adapting neural networks.
• Good English skills; German is an advantage but is not required. Motivation to learn and curiosity about technical topics are also sought.

Why it may fit your studies

An enrolled-student role with 40 working hours per month, initially for one year. Longer-term employment is desired.

Language

Good English skills are required; German is an advantage but is not required.