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HUHuawei

Intern/Master Thesis Student: Privacy Enhancing Technologies(m/w/x)

München
Full-timeInternshipOn-site

Researching and creating PETs based on LLMs for a global ICT solutions provider. Analyzing privacy risks in target application scenarios. Master's enrollment in CS/Cybersecurity/Math and research experience in LLM/ML/AI required. Language courses in German and Mandarin.

Requirements

  • Enrollment in a master's in computer science, cybersecurity, privacy, mathematics, or related
  • Research experience in LLM, machine learning, and/or artificial intelligence
  • Passion for finding solutions to complex technological issues
  • Good programming skills in Python or C++
  • Excellent collaboration and communication skills
  • Proficiency in spoken and written English

Tasks

  • Research Privacy Enhancing Technologies
  • Analyze privacy risks of target application scenarios
  • Support the team in developing privacy solutions for Large Language Models and AI Agents
  • Create PETs based on LLMs
  • Evaluate LLM privacy
  • Assess privacy-utility trade-offs in LLMs
  • Document and present research results

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • C++

Benefits

Free or Subsidized Food

  • Healthy meals in canteen

Learning & Development

  • Broad range of training opportunities
  • Language courses in German and Mandarin

Purpose-Driven Work

  • Self-responsible work
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