AI Architectures Research for Safety Related Systems Intern(m/w/x)

Beschreibung

You will drive innovation by researching AI architectures for safety-critical systems, moving from deep literature analysis to building and presenting functional prototypes.

Anforderungen

• •Master or PhD student in Computer Science, Electrical Engineering or similar field
• •Experience with neural network architectures, CNN, DNN, LSTM, RNN and transformer
• •Familiarity with internal architectures, positional encoding, embeddings and attention mechanisms
• •Excellent programming skills in Python, PyTorch, Tensorflow or Pandas
• •Ability to independently conduct research on literature and state-of-the-art
• •Good communication, adaptability, quick learning and hands-on attitude
• •Fluency in written and spoken English

Aufgaben

• •Research AI and neural network architectures
• •Develop solutions for safety-relevant AI systems
• •Investigate literature on critical neural network elements
• •Identify potential technical approaches
• •Implement prototypes based on existing research
• •Document and present findings to stakeholders

Tools & Technologien

Benefits