- Transform a high-level API (Keras) based AI model into a Computation-Graph based AI model.
- Program the Python scripts for automating the model generation and model testing.
- Customize the neural network design by exploring the domain knowledge to improve the performance.
- University student pursuing a Master degree or a Diploma degree, in the subject of Electrical Engineering, Computer Science, Control Engineering or Mathematics.
- Fluent with Python programming.
- Highly interested in innovative solutions and technologies in wireless communications and/or artificial intelligence. Self-motivated and results-oriented work style.
- Fluent in English, both written and spoken.
- Good academic transcripts from the study.
- Hands-on experience on programming with AI frameworks such as Pytorch or Tensorflow is an advantage.
- Good Knowledge about linear algebra array signal processing is an advantage.
- 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.
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Intern in Machine Learning for Wireless Communications - Munich, Deutschland - Huawei Research Center Germany & Austria
Beschreibung
EinleitungHuawei's vision is to enrich life through communication. We are a fast growing and 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.
Huawei is active in more than 170 countries and has over 197,000 employees of which more than 80,000 are engaged in research and development (R&D). With us you have the opportunity to work in a dynamic, multinational environment with more than 150 nationalities worldwide.
Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
Huawei Munich Research Center (MRC) is looking for an internship student in the topic of Machine Learning for Wireless Communications. Artificial intelligence (AI) and machine learning (ML) are the strong candidates to be integrated as the native components for beyond 5G wireless communication systems. In particular, generative models shows high potentials to outperform the prior art methods in the context of wireless sensing and non-linear signal processing. As an Internship student in Wireless Terminal Chipset Technology Lab at MRC you will explore the latest AI paradigms to optimize the digital signal processing algorithms for wireless communications.
Join us as an
Intern in Machine Learning for Wireless Communications (m/f/d)
Your mission
Your areas of expertise
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Your rewards of working here
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.
Aufgaben
Nutzer der Berufsbezeichnung Intern in Machine Learning for Wireless Communications in Munich
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Moritz Wirthensohn
Geospatial Data Scientist
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Angelin Lee George
International Management Student
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Martina Hinz
Master of Science: Computer Science