PhD Student in Reliable Generative AI for Intelligent Agent Safety (m/f/d) Full-time

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

Huawei’s TTE RAMS Lab is a corporate competence center responsible for researching high reliability and high safety architecture as well as technologies for complex intelligent system; Our goal is to provide Huawei products with cutting-edge researches and advanced technical solutions on intelligent reliability and safety for carrier grade ICT and safety critical systems such as autonomous driving so that our products provide our customers with best user experiences and performance.

Prevailing integration of intelligent components into autonomous agents like robots, autonomous driving requires rigorous safety considerations. Due to inherent shortcomings of current ML techniques such as LLM-based generative models, safety is still a major challenge for safe-critical intelligent systems, issues such as explanability, robustness and reliability pose obstacles for the applicability. Complexity of changing and often adversarial open environment of the system makes brittleness of today’s ML methods a major safety risk factor. Our lab is looking for a joint PhD student for our dynamic team, a successful candidate will be mentored by a Huawei expert and an advisor from Universities.

Join us as a

PhD Student in Reliable Generative AI for Intelligent Agent Safety (m/f/d)

Your mission

• Investigating state-of-the-art research of reliability for generative AI models, identify and formalize detailed challenges and deficiency of investigated approaches.
• Conduct independent research of relevant topics, publish at top conferences and journals.
• Work closely with a group of domain experts and researchers, deliver research results.
• Conduct collaborations with research institutions such as universities and other partners.

Your areas of expertise

• Successfully completed Master degree in Computer Science, E/E, Mathematics or other relevant engineering majors.
• Solid background in mathematics, esp. in linear algebra, statistics/probability, and possess in-depth knowledge of the theoretical foundations of machine learning.
• Deep understanding of current state-of-the-art approaches for AI safety in one or more areas such as computer vision /reinforcement learning/NLP with good record of publications in renowned conferences or journals.
• Hand-on experiences in the latest ML methods such as transformer(ViT/Text), stable diffusion/DiT, confidence estimation and robust/reliability evaluations of AI models is a plus.
• Experience with agent foundation models for robotics and training/fine-tuning of such models
• Excellent programming skills and hands-on experience with main ML frameworks.
• Strong programming skill in at least one of the following programming languages: Python, Java, C/C++, Rust, Julia.

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

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.

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.

Department Trustworthy Technology and Engineering Laboratory Locations Munich