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PhD Student in Machine Learning for Wireless Communications(m/w/x)
Advanced research on ML/AI for 6G wireless systems, focusing on neural transceivers and ML-based channel estimation at global ICT solutions provider. Master's degree in ML/EE/CS and deep learning knowledge for wireless communications required. Language courses in German and Mandarin, healthy meals in company canteen.
Requirements
- Master’s degree or equivalent in Machine Learning, Electrical Engineering, Telecommunications, Computer Science, or related field
- Theoretical and practical knowledge of Machine Learning, particularly deep learning techniques
- Knowledge of wireless communications
- Experience with Python and machine learning libraries such as PyTorch, TensorFlow, or JAX
- Strong problem-solving skills and ability to work independently and in a team
- Fluency in English (both spoken and written)
Tasks
- Conduct advanced research on ML/AI for 6G wireless systems
- Focus on neural transceivers and ML-based channel estimation
- Investigate state-of-the-art model architectures for 6G communication
- Explore generative models and self-supervised learning approaches
- Provide technical support for contributions to industrial bodies
- Emphasize PHY/MAC ML topics in standardization efforts
- Build and improve simulation environments for ML-enabled systems
- Enable realistic performance evaluation of wireless communication
- Publish high-quality research papers in top-tier journals
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
Benefits
Free or Subsidized Food
- Healthy meals in company canteen
Learning & Development
- Broad range of training opportunities
- Language courses in German and Mandarin
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
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PhD Student in Machine Learning for Wireless Communications(m/w/x)
Advanced research on ML/AI for 6G wireless systems, focusing on neural transceivers and ML-based channel estimation at global ICT solutions provider. Master's degree in ML/EE/CS and deep learning knowledge for wireless communications required. Language courses in German and Mandarin, healthy meals in company canteen.
Requirements
- Master’s degree or equivalent in Machine Learning, Electrical Engineering, Telecommunications, Computer Science, or related field
- Theoretical and practical knowledge of Machine Learning, particularly deep learning techniques
- Knowledge of wireless communications
- Experience with Python and machine learning libraries such as PyTorch, TensorFlow, or JAX
- Strong problem-solving skills and ability to work independently and in a team
- Fluency in English (both spoken and written)
Tasks
- Conduct advanced research on ML/AI for 6G wireless systems
- Focus on neural transceivers and ML-based channel estimation
- Investigate state-of-the-art model architectures for 6G communication
- Explore generative models and self-supervised learning approaches
- Provide technical support for contributions to industrial bodies
- Emphasize PHY/MAC ML topics in standardization efforts
- Build and improve simulation environments for ML-enabled systems
- Enable realistic performance evaluation of wireless communication
- Publish high-quality research papers in top-tier journals
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- JAX
Benefits
Free or Subsidized Food
- Healthy meals in company canteen
Learning & Development
- Broad range of training opportunities
- Language courses in German and Mandarin
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
About the Company
Huawei Research Center Germany & Austria
Industry
IT
Description
Huawei is a leading global information and communications technology (ICT) solutions provider, committed to developing the future information society.
Not a perfect match?
- Huawei Research Center Germany & Austria
PhD Student - Machine Learning for Wireless Communications(m/w/x)
Full-timeOn-siteNot specifiedMünchen - Huawei Research Center Germany & Austria
PhD Student Communication Network Optimization(m/w/x)
Full-timeOn-siteNot specifiedMünchen - Huawei Research Center Germany & Austria
Research Engineer on AI for 6G(m/w/x)
Full-timeOn-siteExperiencedMünchen - Huawei Research Center Germany & Austria
Research Expert/Engineer for Wireless Intelligent Air Interface(m/w/x)
Full-timeOn-siteSeniorMünchen - Huawei
PhD student in Advanced Fiber Optic Communications Systems for Access Networks(m/w/x)
Full-timeOn-siteExperiencedMünchen