PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents
Tasks
- Apply privacy frameworks to agent architectures
- Collaborate with academic and industrial partners to transfer research results
- Conduct privacy research on AI agent systems
- Design implement and evaluate LLM and multi agent prototypes
- Develop privacy preserving methods for LLM and multi agent systems
- Mitigate sensitive data leakage and unintended memorization
- Publish research in machine learning AI security and privacy venues
Perks/Benefits
- Conference publishing support
- Healthy Meals
- Language courses
- Mentorship
- Mentorship and collaboration resources
- Training opportunities
Skills/Tech-stack
Agent systems | Deep learning | JAX | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Privacy & Security | Privacy Security Techniques | PyTorch | Python | Security Techniques | TensorFlow
Education
Roles
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