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

About the role

Fraunhofer student assistant researching tensor networks for anomaly detection and quantum-inspired ML. Python/PyTorch, linear algebra and basic ML required. English required; German optional. 40 hours/month, initially one year.

Requirements

• Enrolled in computer science, AI, data science, mathematics, physics or related field
• Solid linear algebra
• Basic ML concepts including linear regression
• Python and hands-on PyTorch neural network implementation
• Good English; German advantageous, not required

What you'll do

• Develop and evaluate tensor network ML algorithms
• Design experiments and analyze performance
• Contribute to scientific publications

Where this was posted

• LinkedIn

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