Intern / Working Student for AI-based Anomaly Detection in München bei ROHDE & SCHWARZ GmbH & Co KG

Your tasks

• Discover unusual data points in large data sets
• Research the latest advances in anomaly detection
• Design, implement and evaluate AI-based anomaly detection algorithms
• Get hands-on experience in integrating new features into our products

Your qualifications

• Academic studies in computer science, electrical engineering or similar fields
• Demonstrable experience in machine learning and Python development
• Knowledgeable about important data mining frameworks, e.g. pandas or TensorFlow
• Preferably first experience with generative models, e.g. generative adversarial networks or diffusion models
• Team player with good communication and presentation skills

Interested?

We are looking forward to receiving your application! If you have any questions, please feel free to contact your recruiting contact at any time.
We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.

Reference number: 5159
Recruiting- Contact: Tanja Feßmann

With its leading solutions in the areas of Test & Measurement, Technology Systems and Networks & Cybersecurity, the Rohde & Schwarz technology group is one of the pioneers of a secure and connected world. Founded more than 85 years ago, the Group is a reliable partner for its customers from the private and public sectors around the globe. Headquartered in Munich, Germany, the company has strong regional hubs in Singapore and Columbia, Maryland to coordinate business activities in Asia and the USA.