Internship - AI/ML in Wireless Research

Descrizione del lavoro:

Are you a fearless thinker? Do you love the challenge of advancing a widely accepted technology? In the Wireless Research and Standards team, you'll be responsible for bringing groundbreaking wireless connectivity to the world through Cellular, Wi-Fi, Bluetooth, and more. You'll design, develop, and patent the next generation of wireless technologies. You'll collaborate across departments to help craft solutions that elevate the customer experience with Apple products and progress various wireless standards. Our goal is to ensure nothing stands in the way of our customers' connections with their devices. If you join us, you'll help build world-renowned wireless systems so seamless that they almost feel like magic. Imagine what you could do here. At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. 

The Wireless Research team in the Wireless, Technologies and Ecosystems (WTE) organization is working on influencing the definition of next generation wireless architecture and systems / standards. We are seeking a hardworking individual with outstanding communication skills and an exceptional technical knowledge of cellular and connectivity technologies. We make a clear difference to the product. This is an extraordinary opportunity to work with our hardware and wireless software engineering teams to help drive and deliver the most innovative Apple wireless devices and iOS software features to customers on our operators' networks worldwide.
Understanding of state of art (5G-A) cellular and/or non-cellular communications systems and technologies Background in research (and ideally (pre-)standards: 3GPP, ETSI, IEEE), with main focus on the network stack (layer 2+), RAN and Core Network aspects. Some understanding of physical layer procedures Hands-on experience with ML frameworks (PyTorch, TensorFlow, sklearn), MLOps tools and programming languages like Python, C/C++, Swift, etc. is important
Project experience in the area of AI/ML applied to wireless devices and networks (e.g., mobility, scheduling, energy efficiency) Knowledge with EU and/or national (e.g., BMFTR) research and funding programs is a plus Experience in one or more key emerging wireless technology areas like NTN, Cell-free Networks, JCAS is a plus MS in EE / CS; PhD student preferred