Intern - AI Architectures Research for Safety Related Systems

Huawei; München; Vor Ort; EUR 11.000 - 16.000; Teilzeit

Benefits dieser Stelle

Company canteen meals

Training opportunities

Diverse and international environment

Zusammenfassung

Huawei Heisenberg Research Center (Munich) in Germany invites an Intern - AI Architectures Research for Safety Related Systems. You will explore AI/NN architectures for safety-critical use, review literature on critical design elements, and prototype approaches based on existing research.

Collaborating with a multidisciplinary team, you will document findings and present outcomes to stakeholders. Fluency in written and spoken English is required for international collaboration.

Qualifikationen

• Master or PhD student in Computer Science, Electrical Engineering or similar field.
• Experience with neural network architectures including CNNs, RNNs or transformers.
• Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow).
• Excellent written and spoken English with good communication abilities.

Aufgaben

• Conduct AI/Neural Networks architecture research for safety related systems.
• Investigate literature on critical elements shaping NN architectures for safety.
• Identify approaches and implement prototypes based on current research.
• Document work and present results to stakeholders.

Kenntnisse

Neural networks architectures

Python

PyTorch

TensorFlow

Pandas

Communication skills

English proficiency

Ausbildung

Master or PhD student in Computer Science or Electrical Engineering

Tools

CNN

RNN

Transformer

Embeddings

Jobbeschreibung

Huawei Heisenberg Research Center (Munich) 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.

Intern - AI Architectures Research for Safety Related Systems (m/f/d)

Your mission

• Conduct AI/Neural Networks architecture research to contribute solutions for using AI in safety relevant systems
• Literature investigation about critical elements impacting neural network architectures and their use in safety relevant functions
• Identify potential approaches and implement prototypes based on existing research
• Document and present your work to relevant stakeholders

Your areas of expertise

• Master or PhD student in Computer Science, Electrical Engineering or in a similar field
• Experienced with common neural network architectures and theory, CNN, DNN, LSTM, RNN and transformer
• Familiar with the internals architectures such as positional encoding, embeddings, self- and cross-attention mechanisms
• Excellent programming skill in at least on the languages/frameworks: Python, PyTorch, Tensorflow, Pandas
• Ability and experience to independently conduct research and investigation on literature material and state-of-the‑art
• Good communication skills, adaptability, the capability to learn quickly and independently as well as a hands‑on, can‑do attitude
• Fluent in written and spoken English

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.

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 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.