PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents

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  Conduct systematic research on privacy risks in AI agent systems, with a focus on components such as memory, reasoning, decision-making, and multi-agent communication.

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  Develop novel privacy-preserving methods to mitigate risks such as sensitive data leakage, prompt-based extraction, unintended memorization, and privacy violations during agent collaboration.

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  Explore and apply privacy frameworks to agent-based architectures.

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  Design, implement, and evaluate prototypes in realistic LLM- and multi-agent environments.

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  Publish your research in leading conferences and journals in machine learning, AI security, and privacy (e.g., NeurIPS, ICML, ICLR, CCS, S&P, PETS).

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  Collaborate with academic and industrial partners to transfer research results into real-world systems and products.
  

• Master’s degree (or equivalent) in computer science, mathematics, electrical engineering, or a related field.

• Strong theoretical and practical background in machine learning, deep learning, or natural language processing.

• Proficient programming skills in Python and experience with at least one major deep learning framework (e.g., PyTorch, TensorFlow, or JAX).

• Familiarity with large language models and agent-based systems is a plus.

• Knowledge of privacy and security techniques relevant to ML systems is a plus.

• Prior research experience or publications in machine learning, security, or privacy venues is advantageous.

• Excellent written and spoken English.

If you are enthusiastic to shape the German Research Center in Munich together with us, being part of a multicultural team and growing environment, feel free to contact us. Driving future technologies with focus on customer satisfaction is a one of our missions. Join us!

By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here.

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.

• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.

• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.

• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.

• Competitive compensation and benefits.

• Strong support for publishing in leading conferences and journals, including mentorship, collaboration opportunities, and resources to conduct high-impact research.

• The opportunity to contribute research that informs and transitions into real-world products, influencing privacy features in deployed LLM- and agent-based systems.

• Ability to transform research prototypes into customer-facing products.

Please send your application and CV (incl. cover letter and reference letters) in English.

Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.