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PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents(m/w/x)
Researching privacy risks in AI agent systems, focusing on memory, reasoning, and multi-agent communication. Development of privacy-preserving methods to mitigate sensitive data leakage required. Healthy meals, language courses, and strong support for publishing.
Requirements
- Master’s degree (or equivalent) in computer science, mathematics, electrical engineering, or related field
- Strong background in machine learning, deep learning, or natural language processing
- Proficient programming skills in Python
- Experience with PyTorch, TensorFlow, or JAX
- Familiarity with large language models and agent-based systems (plus)
- Knowledge of privacy and security techniques for ML systems (plus)
- Prior research experience or publications in ML, security, or privacy venues (advantageous)
- Excellent written and spoken English
Tasks
- Conduct systematic research on privacy risks in AI agent systems
- Focus on memory, reasoning, decision-making, and multi-agent communication
- Develop privacy-preserving methods to mitigate sensitive data leakage
- Prevent prompt-based extraction and unintended memorization
- Address privacy violations during agent collaboration
- Explore and apply privacy frameworks to agent-based architectures
- Design and implement prototypes in realistic LLM and multi-agent environments
- Evaluate prototypes in realistic LLM and multi-agent environments
- Publish research in leading conferences and journals
- Collaborate with academic and industrial partners
- Transfer research results into real-world systems and products
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
- machine learning
- deep learning
- natural language processing
- large language models
- agent-based systems
Benefits
Free or Subsidized Food
- Healthy meals
Learning & Development
- Training opportunities
- Language courses
Informal Culture
- Diverse and welcoming environment
Other Benefits
- Strong support for publishing
- Resources for research
Mentorship & Coaching
- Mentorship
Startup Environment
- Collaboration opportunities
- Ability to transform prototypes into products
Purpose-Driven Work
- Opportunity to contribute research
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- Huawei Research Center Germany & AustriaFull-timeOn-siteJuniorMünchen
- Huawei Research Center Germany & Austria
PhD Student: Privacy Enhancing Technologies for LLMs and AI agents(m/w/x)
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PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents(m/w/x)
Researching privacy risks in AI agent systems, focusing on memory, reasoning, and multi-agent communication. Development of privacy-preserving methods to mitigate sensitive data leakage required. Healthy meals, language courses, and strong support for publishing.
Requirements
- Master’s degree (or equivalent) in computer science, mathematics, electrical engineering, or related field
- Strong background in machine learning, deep learning, or natural language processing
- Proficient programming skills in Python
- Experience with PyTorch, TensorFlow, or JAX
- Familiarity with large language models and agent-based systems (plus)
- Knowledge of privacy and security techniques for ML systems (plus)
- Prior research experience or publications in ML, security, or privacy venues (advantageous)
- Excellent written and spoken English
Tasks
- Conduct systematic research on privacy risks in AI agent systems
- Focus on memory, reasoning, decision-making, and multi-agent communication
- Develop privacy-preserving methods to mitigate sensitive data leakage
- Prevent prompt-based extraction and unintended memorization
- Address privacy violations during agent collaboration
- Explore and apply privacy frameworks to agent-based architectures
- Design and implement prototypes in realistic LLM and multi-agent environments
- Evaluate prototypes in realistic LLM and multi-agent environments
- Publish research in leading conferences and journals
- Collaborate with academic and industrial partners
- Transfer research results into real-world systems and products
Education
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
- machine learning
- deep learning
- natural language processing
- large language models
- agent-based systems
Benefits
Free or Subsidized Food
- Healthy meals
Learning & Development
- Training opportunities
- Language courses
Informal Culture
- Diverse and welcoming environment
Other Benefits
- Strong support for publishing
- Resources for research
Mentorship & Coaching
- Mentorship
Startup Environment
- Collaboration opportunities
- Ability to transform prototypes into products
Purpose-Driven Work
- Opportunity to contribute research
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Huawei Research Center Germany
Industry
Telecommunications
Description
Huawei is a leading global ICT solutions provider advancing innovation in information and communications technology.
Not a perfect match?
- Huawei Research Center Germany & Austria
PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents(m/w/x)
Full-timeOn-siteJuniorMünchen - Huawei Research Center Germany & Austria
PhD Student: Privacy Enhancing Technologies for LLMs and AI agents(m/w/x)
Full-timeOn-siteJuniorMünchen - Huawei Research Center Germany & Austria
PhD Student: Confidential LLM Systems / Confidential Disaggregated Architectures(m/w/x)
Full-timeOn-siteNot specifiedMünchen - Huawei
Intern/Master Thesis Student: Privacy Enhancing Technologies(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany
Senior Research Engineer - Privacy Preserving AI(m/w/x)
Full-timeOn-siteSeniorMünchen