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HUHuawei Research Center Germany & Austria

PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents(m/w/x)

München
Full-timeOn-siteJunior
AI/ML
Data Science

Developing novel privacy-enhancing methods for AI agents, implementing proof-of-concept prototypes at a global ICT provider. Master's degree in CS/math/engineering, proficient Python programming, and large language model familiarity required. Healthy canteen meals, German and Mandarin language courses.

Requirements

  • Master’s degree in computer science, mathematics, engineering, or related field
  • Background in machine learning, deep learning, or natural language processing
  • Proficient Python programming and deep learning framework experience
  • Familiarity with large language models and agent-based systems
  • Interest in research and rigorous problem formulation
  • Knowledge of ML privacy and security techniques (plus)
  • Prior research experience or publications (advantageous)
  • Excellent written and spoken English

Tasks

  • Review state-of-the-art privacy research for LLMs
  • Monitor emerging attack vectors and defense mechanisms
  • Develop novel privacy-enhancing methods for AI agents
  • Address risks like data leakage and memorization
  • Implement proof-of-concept prototypes of proposed methods
  • Evaluate prototypes on public and industrial datasets
  • Publish findings in leading scientific journals
  • Present research at top-tier machine learning conferences
  • Collaborate on interdisciplinary machine learning topics
  • Coordinate with team members on agent architectures

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • TensorFlow
  • JAX
  • Large language models
  • Agent-based systems

Benefits

Free or Subsidized Food

  • Healthy canteen meals

Learning & Development

  • Broad training opportunities
  • Online and face-to-face training
  • German language courses
  • Mandarin language courses

Informal Culture

  • Diverse and welcoming environment

Purpose-Driven Work

  • Self-responsible work
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