At Nokia, we create technology that helps the world act together. As a B2B technology innovation leader, we are pioneering networks that sense, think and act by leveraging our work across mobile, fixed and cloud networks. In addition, we create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. In France, Nokia has a strong technological base that relies on both cutting-edge Research and Development teams and very strong links with the French digital ecosystem. Our activities are spread over two major sites in Lannion (Côtes d'Armor) and Paris-Saclay (Massy and Nozay, Essonne).

The fusion of Artificial Intelligence (AI) and Radio Access Networks (RAN) or AI-RAN is fundamentally changing wireless communication by creating programmable, intelligent, self-optimizing, and highly efficient networks.

This internship focuses on exploring and developing AI applications within Radio Access Networks (RAN) using NVIDIA's AI Aerial suite / Sionna kit, performing practical experimentation and use-case validation. This internship offers a unique opportunity to delve into this cutting-edge field, leveraging NVIDIA's AI Aerial suite as a powerful platform designed for developing and deploying AI-driven solutions for wireless systems. The intern will contribute to identifying, developing, and experimenting with novel AI-RAN use cases that enhance network performance, resource management, and user experience.

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This internship focuses on exploring and developing AI applications within Radio Access Networks (RAN) using NVIDIA's AI Aerial suite / Sionna kit, performing practical experimentation and use-case validation.

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Eligibility & Conditions

• Duration: 6 months, full time

• Location: In person, in France (Bell Labs / Nokia R&D site of Massy)

• Language of work: English

• Enrolment requirement: Currently pursuing Masters, or Ph.D. degree in Electrical Engineering, Computer Science, Telecommunications, or a related field

REQUIRED SKILLS

• Good understanding of 5G RAN architecture

• Experience in using and developing with opensource 5G emulators (e.g.: OAI)

• Good academic background in Machine Learning

• Strong programming skills in C++ and Python with experience in relevant AI/ML libraries (e.g., TensorFlow, PyTorch)

• Hands-on experience in writing code that leverages NVIDIA GPUs for parallel computation using CUDA C++ is a plus

• Hands-on experience using virtualization/orchestration tools such as containers, kubernetes is a plus

• Ability to write clean, high-quality, maintainable code in research team environments

• Clear written and spoken communication skills in English

• Self-driven, research-minded, comfortable in a collaborative environment

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The primary objectives of this internship are to:

• Gain a comprehensive understanding of AI-RAN concepts, architectures, and the capabilities of the NVIDIA AI Aerial suite.

• Identify and analyze promising AI-RAN use cases relevant to next-generation wireless networks (e.g., 6G).

• Develop and implement AI models and algorithms within the NVIDIA AI Aerial suite for selected use cases.

• Design and execute experimental setups to validate the performance and benefits of the developed AI-RAN solutions.

• Preparing a research paper in the field of computer science or telecom