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Intern - Machine Learning for Wireless Communications

Huawei2 months agoInternship
On-siteEnglish requiredTechAI, ML & Data Science

Required skills

generative modelsPythonchannel state information (CSI)JAXcontinual learningTensorFlowtransformersdiffusion modelsCNNsPyTorch

Job description

Huawei published this listing. We've added our own working-student context below — what this role means for your weekly hours, take-home pay and student visa as a student in Munich, Germany.

Description provided by Huawei

Huawei 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

Intern - Machine Learning for Wireless Communications (m/f/d)

Your mission

  • Conduct advanced research on AI/ML for 6G wireless systems, developing solutions for channel state information prediction and reporting
  • Investigate state-of-the-art approaches — including generative models, sequence-based models, and continual learning applied to 6G communication systems
  • Build and improve simulation environments for AI-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

  • Enrolled in Master’s or PhD program in Machine Learning, Electrical Engineering, Telecommunications, Computer Science, or a related field
  • Theoretical and practical knowledge of Machine Learning, particularly deep learning techniques (e.g., CNNs, transformers, diffusion models); experience with their application to communication systems is a plus
  • Solid knowledge of wireless communications (especially channel estimation, massive MIMO). Experience in modelling and evaluation of wireless systems through link/system-level simulations is a plus
  • Experience with Python and machine learning libraries such as PyTorch, TensorFlow, or JAX
  • 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. 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.

Working student essentials

What this Tech internship in Munich means for you — pay rules, social contributions, and what international students should check before applying.

Weekly hours

Internships have no 20-hour cap, but a voluntary internship longer than three months generally has to pay at least the German minimum wage. Mandatory internships in your study programme are exempt.

Working student rules

Social contributions

Mandatory internships are largely exempt from social contributions. Voluntary internships are treated like regular employment once they run long enough, so contributions usually apply.

Check your insurance

International students

Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.

Studying in Germany

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