Huawei

PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents

Huawei  •  Munich, DE (Onsite)  •  1 month ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

Artificial Intelligence agents are rapidly becoming part of everyday life, however, they also introduce significant privacy risks: sensitive information may be unintentionally memorized, exposed across agent interactions, or leaked through internal reasoning and decision processes.

Our research group focuses on the intersection of Privacy, Security, and Artificial Intelligence, with a particular emphasis on privacy risks in LLM-based and multi-agent systems. Our goal is to design novel privacy-enhancing technologies that make next-generation AI agents trustworthy, secure, and deployable in real-world applications.

We are looking for a highly motivated PhD candidate who is excited about cutting-edge research in AI and privacy, and who wants to contribute to shaping the future of trustworthy intelligent systems.

Join us as a

PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents (m/f/d)

Your Responsibilities

  • 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.

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

  • Explore and apply privacy frameworks to agent-based architectures.

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

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

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

Your Areas of Expertise

  • 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

Your Rewards of Working 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.

Huawei

About Huawei

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 207,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.

House Rules

This page is for ICT professionals with an interest in Huawei and our industry to engage in open discussions.

To facilitate dialogue, please follow these rules:

- Huawei holds the right to delete comments that are offensive, misleading, false, unlawful, off-topic and in violation of any regulations.

- Repeated violations of any of the above will be removed and users may be blocked.

- Huawei does not necessarily endorse the information shared by members.

- Please be familiar with and follow LinkedIn's User Agreement.

- By publicly uploading a photograph or comment, you give Huawei permission to feature your content. This will always be credited.

Please visit the below portals for career or customer service queries.

Career page: http://bit.ly/2rdljD7

Customer service: http://bit.ly/2a4mXNY

Thank you for visiting us & we hope you enjoy your time on our page.

Industry
Telecommunications
Company Size
10,000+ employees
Headquarters
Shenzhen, CN
Year Founded
Unknown
Social Media