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PhD Student in Machine Learning for Wireless Communications
vor 6 Stunden
Huawei's Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
The Advanced Wireless Technologies Lab (AWTL) is responsible for research activities towards the definition and development of mobile network technologies and communication systems for vertical industries. AWTL has been engaging with multiple research and standardization activities, including participating to European Commission funded research projects of Horizon 2020 framework, contributing to industrial communication fora as 5G-AA, 5G-ACIA, transferring technologies to standardization bodies like 3GPP, ETSI, GSMA, NGMN, and developing in-house experimental platforms, prototypes and proof of concepts on wireless and networking technologies. Recently, AWTL focus has shifted to next generation (6G) wireless networks and technologies, towards 2030.
Join us as a
PhD Student in Machine Learning for Wireless Communications (m/f/d)
Your mission
Conduct advanced research on ML/AI for 6G wireless systems, focusing on neural transceivers, ML-based channel estimation and detection, or related topic.
Investigate state-of-the-art model architectures—including generative models, sequence-based models, and self-supervised learning approaches applied to 6G communication systems.
Provide technical support for contributions to industrial/standardization bodies (e.g., 3GPP, ETSI, …) with an emphasis on PHY/MAC ML topics.
Build and improve simulation environments for ML-enabled wireless communication systems to enable realistic performance evaluation.
Publish high-quality research papers in top-tier scientific journals and conferences.
Your areas of expertise
A completed Master's degree (or equivalent) in Machine Learning, Electrical Engineering, Telecommunications, Computer Science, or a related field
Solid theoretical and practical knowledge of Machine Learning, particularly deep learning techniques; experience with their application to communication systems is a plus
Solid knowledge of wireless communications
Experience with Python and machine learning libraries such as PyTorch, TensorFlow, or JAX is a plus
Strong problem-solving skills and the ability to work both independently and as part of a multidisciplinary team
Fluency in English (both spoken and written)
By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here.
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.
