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AI Architectures Research for Safety Related Systems Intern(m/w/x)
Investigating critical components of advanced learning systems, implementing functional prototypes. Master or PhD student in Computer Science or Electrical Engineering required. German and Mandarin language courses.
Requirements
- Master or PhD student in Computer Science, Electrical Engineering or similar field
- Experience with neural network architectures, CNN, DNN, LSTM, RNN and transformer
- Familiarity with internal architectures, positional encoding, embeddings and attention mechanisms
- Excellent programming skills in Python, PyTorch, Tensorflow or Pandas
- Ability to independently conduct research on literature and state-of-the-art
- Good communication, adaptability, quick learning and hands-on attitude
- Fluency in written and spoken English
Tasks
- Research AI and neural network architectures
- Develop solutions for safety-relevant AI systems
- Investigate literature on critical neural network elements
- Identify potential technical approaches
- Implement prototypes based on existing research
- Document and present findings to stakeholders
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- CNN
- DNN
- LSTM
- RNN
- transformer
- Python
- PyTorch
- Tensorflow
- Pandas
Benefits
Free or Subsidized Food
- Healthy canteen meals
Learning & Development
- Broad training opportunities
- Online and face-to-face training
- German and Mandarin courses
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
Not a perfect match?
- Huawei Research Center Germany & AustriaFull-timeInternshipOn-siteMünchen
- Huawei
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AI Architectures Research for Safety Related Systems Intern(m/w/x)
Investigating critical components of advanced learning systems, implementing functional prototypes. Master or PhD student in Computer Science or Electrical Engineering required. German and Mandarin language courses.
Requirements
- Master or PhD student in Computer Science, Electrical Engineering or similar field
- Experience with neural network architectures, CNN, DNN, LSTM, RNN and transformer
- Familiarity with internal architectures, positional encoding, embeddings and attention mechanisms
- Excellent programming skills in Python, PyTorch, Tensorflow or Pandas
- Ability to independently conduct research on literature and state-of-the-art
- Good communication, adaptability, quick learning and hands-on attitude
- Fluency in written and spoken English
Tasks
- Research AI and neural network architectures
- Develop solutions for safety-relevant AI systems
- Investigate literature on critical neural network elements
- Identify potential technical approaches
- Implement prototypes based on existing research
- Document and present findings to stakeholders
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- CNN
- DNN
- LSTM
- RNN
- transformer
- Python
- PyTorch
- Tensorflow
- Pandas
Benefits
Free or Subsidized Food
- Healthy canteen meals
Learning & Development
- Broad training opportunities
- Online and face-to-face training
- German and Mandarin courses
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
About the Company
Huawei
Industry
IT
Description
The company is a leading global information and communications technology (ICT) solutions provider.
Not a perfect match?
- Huawei Research Center Germany & Austria
Intern - AI Architectures Research for Safety-Related Systems(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei
Intern - AI Architectures Research for Safety Related Systems(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
Intern/Working Student - AI Architectures Research for Safety-Related Systems(m/w/x)
Full-timeWorking StudentOn-siteMünchen - Huawei Research Center Germany & Austria
Intern - Generative AI for Safety Relevant Systems(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
Intern - Domain Specific Language Development for Safety Relevant Systems(m/w/x)
Full-timeInternshipOn-siteMünchen