Industrial PhD Student in Machine Learning Assisted Multi Antenna Communications
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Industrial PhD Student in Machine Learning Assisted Multi Antenna Communications
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.
Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
Multi-antenna technology can significantly improve the spectral efficiency and is the enabling technology for 5G and beyond 5G wireless communication systems. On the other hand, the trade-off among spectral efficiency, power consumption and the implementation complexity for multi-antenna communications has to be optimized, especially for a mobile device. As a PhD student in Wireless Terminal Chipset Technology Lab at our Munich Research Center (MRC) you will explore the latest technology to optimize the digital signal processing algorithms for multi-antenna communications. You will also challenge the prior art methods by using modern optimization methods such as deep learning and reinforcement learning to further improve the communication efficiency as well as the power efficiency.
Now we are looking for a Industrial PhD Student in Machine Learning Assisted Multi-Antenna Communications (m/f/d)
Responsibilities
- Develop advanced but practical signal processing algorithms for 5G and beyond 5G multi-antenna communication systems to improve the communication efficiency and power efficiency.
- Explore deep learning and reinforcement learning algorithms for further performance improvement.
- Contribute to Huawei’s IPR portfolio and make publications in leading international conferences and journals.
Requirements
- Master degree or an equivalent degree in Electrical Engineering, Communication Engineering, RF engineering, or Artificial Intelligence.
- Fundamental knowledge of wireless communications, statistic signal processing and linear algebras.
- Highly interested in innovative solutions and technologies in wireless communication and artificial intelligence.
- Strong analytical and problem-solving skills.
- Self-motivated and results-oriented work style.
- Fluent in English, both written and spoken.
Preferred additional qualifications:
- Good academic transcripts from the study.
- Good knowledge in beamforming theory, estimation theory and/or optimization theory.
- Hands-on experience on beamforming codebook design is an advantage.
- Hands-on experience on deep learning and/or reinforcement learning is an advantage.
- Familiar with one of following programming languages is an advantage: Matlab, Python.
- Familiar with one of the popular machine learning frameworks is an advantage: TensorFlow, PyTorch.
- German and/or Chinese language knowledge is an advantage.
What you can expect
- 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 you a competitive compensation package and a broad range of training opportunities. Many online and face-to-face training programs.
- Self-responsible work in a competent, motivated and constantly growing team.
If you are enthusiastic to shape the Munich Research Center together with us, with a very high level of technical innovation, being part of a multicultural team and growing environment, feel free to contact us.
Please send your application and CV (incl. cover letter and reference letters) in English.
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