Huawei's vision is to enrich life through communication. We are a fast growing and leading global information and communications technology (ICT) solutions provider.

Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services.

Huawei is active in more than 170 countries and has over 197,000 employees of which more than 80,000 are engaged in research and development (R&D). With us you have the opportunity to work in a dynamic, multinational environment with more than 150 nationalities worldwide.

Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services. 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's Heisenberg Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

The Data Protection Lab, based in Düsseldorf, investigates the security and privacy of current large language and vision models and provides practical solutions for developing LLM-based, security- and privacy-focused approaches. To support our research activities, we are seeking enthusiastic and highly motivated students. In this role, the student will contribute to the research and development of practical solutions involving security and privacy techniques to create secure LLMs. The work may also include applications of large language and vision models in the domain of privacy and security.

Join us as an

Intern / Master Thesis Student in: Privacy and Security for Large Language Models (m/f/d)

Your mission

• Review prior work related to relevant research topics.

• Develop novel algorithms for privacy-preserving LLMs.

• Create solutions that use LLMs to address privacy- or security-related issues.

• Implement and empirically evaluate the developed methods on public and/or industrial datasets.

• Document findings and results with rigor.

Your areas of expertise

• Currently enrolled as a Bachelor’s or Master’s student in computer science, mathematics, engineering, physics, or a related field.

• Solid knowledge and practical experience in machine learning and deep learning, including programming skills in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).

• Experience with vision or NLP tasks in general, and large language models specifically.

• Proactive and self-motivated mindset, with a willingness to take initiative and responsibility for projects.

• Fluent in written and spoken English.

• Prior knowledge of privacy and security aspects of LLMs, as well as applications of LLMs for security is a plus.

• Knowledge of and practical experience with setting up and evaluating AI agents is a plus.
  

By applying to this position, you agree with our RECRUITMENT PRIVACY STATEMENT. You can read in full our recruitment privacy statement via the link below.

http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html

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

• Self-responsible work in a competent, motivated and constantly growing team.

• We offer you a competitive compensation package and a broad range of training opportunities. Many online and face-to-face training programs.

If you are enthusiastic in shaping Huawei’s Research Center in Düsseldorf together with a multicultural team of highly skilled Engineers and Researchers, feel free to contact us. Driving future technologies focused on the customer experience is our main mission. Apply now!

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