Intern in AI Algorithms for Modem Signal Processing (m/f/d)

<p><strong>Huawei</strong>&nbsp;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.<br><br><strong>Huawei's Heisenberg Research Center</strong>&nbsp;<strong>in Munich</strong> is responsible for advanced technology research, architectural development, design and strategic engineering of our products.<br></p><p>Huawei's Heisenberg Research Center is looking for an intern in the topic of <strong>AI Algorithms for Modem Signal Processing.</strong> Artificial intelligence (AI) and data-driven methods are the strong candidates to be integrated as the native components for beyond 5G cellular communication systems. Yet, it is still challenging to make them practical in the domain of physical layer signal processing, especially for the cellular modems at the terminal device side. As an internship student at MRC, you will explore the latest AI paradigms and develop practical data-driven signal processing algorithms for the cellular modems at the terminal device side.<br></p><p><br></p><p><strong>Your Responsibilities</strong></p><ul style="margin-top:0in;"><li class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:120%;"><p>Develop novel concepts for data-driven parameter estimation algorithms in a wireless receiver.</p></li><li class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:120%;"><p>Explore latest generative AI methods to solve parameter estimation problems in a wireless receiver.</p></li><li class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:120%;"><p>Conduct algorithm-architecture co-design to optimize the trade-off between the estimation accuracy and the neural network complexity.<br><br></p></li></ul><p><strong>Your Areas of Expertise</strong></p><ul style="margin-top:0in;"><li class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:120%;"><p>University student pursuing a Master degree or a Diploma degree, in the subject of Electrical Engineering, Computer Science, Control Engineering or Mathematics.</p></li><li class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:120%;"><p>Fluent with reading academic papers and translating algorithmic concepts into proof-of-concept codes.</p></li><li class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:120%;"><p>Familiar with popular AI frameworks such as PyTorch. Capable of independently conducting model development, training, optimization, and deployment.<br><br></p></li></ul><p><strong>Preferred Additional Qualifications</strong></p><ul style="margin-top:0in;"><li class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:120%;"><p>Good <strong>academic transcripts</strong> from the study.</p></li><li class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:120%;"><p>Experiences of using <strong>generative AI</strong> methods to solve signal processing problems is a strong plus.</p></li><li class="MsoNormal" style="margin-bottom:6pt;text-align:justify;line-height:120%;"><p>Familiarity with <strong>Bayesian estimation techniques</strong> is a strong plus.<br></p></li></ul><p></p><p></p><p></p><p><br>By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy&nbsp;<a target="_blank" href="http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html">here</a>.</p><p><br></p><p><strong>What You Can Expect</strong><br></p><ul><li><p>Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.</p></li><li><p>We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.</p></li><li><p>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.</p></li><li><p>Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.</p></li><li><p>Self-responsible work in a competent, motivated and constantly growing team.</p></li></ul><p></p><p>If you are enthusiastic in shaping Huawei’s Munich Research Center together with a multicultural team of highly skilled Engineers and Researchers, feel free to contact us. Driving future technologies focused on the customer experience is our main mission. <strong>Apply now!</strong></p><p class="MsoNormal" style="margin-bottom:0in;text-align:justify;line-height:normal;"><br>Please send your application and CV (incl. cover letter and reference letters) in English. <br><br>Please send an <strong>academic transcript</strong> from your latest study program.</p><p><br></p>