Federated Learning for Advanced Driving Systems Intern (m/f/d)

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.

Huawe i 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 over 200,000 employees, Huawei is committed to develop the future information society and build a Better-Connected World.

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

Automotive Engineering Lab (AEL) teams are rapidly growing and focused on advanced automotive technologies in multiple domains.

Join Automotive Engineering Lab (AEL) as:

Federated Learning for Advanced Driving Systems Intern (m/f/d)

Your mission:

Use state of the art approaches of decentralized learning to contribute the advanced driving solutions.

• Literature investigation about applying distributed learning for advanced driving systems, including autonomous driving.
• Identify potential approach and implement software prototype based on current research
• Document and present your work to relevant stakeholders
  

Your areas of expertise

• M.Sc. or PhD student in Computer Science, Electrical Engineering or in a similar field
• Ability and experience to independently conduct research and investigation on literature material and state-of-the-art.
• Experience with machine learning/AI and familiarity with decentralized learning methods, such as federated learning.
• Excellent programming skill in at least on the languages/frameworks: Python, PyTorch, Tensorflow, PySyft
• Good communication skills, adaptability, ability to learn quickly and independently as well as a hands-on can-do attitude
• Fluent in written and spoken English

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.

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

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

Standort

Huawei Research Center Germany & Austria, Munich