Leveraging GenAI for radio resource control

Job Description:

At (COMPANY NAME) Bell Labs, we are pioneering bold, innovative ideas to tackle the transformative challenges of 6G networks. From delivering unprecedented levels of connectivity and capacity to achieving breakthroughs in energy efficiency and reducing deployment costs, our research is shaping the future of telecommunications.
Located near Paris, our Bell Labs facilities offer students an unparalleled opportunity to collaborate with world-renowned researchers at the forefront of wireless communications and artificial intelligence. As a Bell Labs intern, you will not only receive expert guidance and mentorship but also be encouraged to challenge conventional thinking and contribute original ideas to our cutting-edge projects.
Interns are fully integrated into a world-class research department, where they will engage with diverse, cross-disciplinary topics beyond their primary focus. This dynamic environment fosters creativity, cross-domain collaboration, and the development of innovative solutions to real-world problems.
If you are passionate about pushing the boundaries of technology and eager to leave a mark on the future of wireless communications, join us at (COMPANY NAME) Bell Labs!

* Model Training and Optimization: Train and fine-tune cutting-edge deep learning models tailored for complex radio communication tasks in 5G and emerging 6G wireless networks.
* Innovation and Experimentation: Develop and propose novel techniques to enhance the performance, robustness, and efficiency of AI models applied to wireless communication scenarios.
* Literature Review and Adaptation: Stay at the forefront of AI advancements by thoroughly assessing the latest methods from academic and industrial research, and identifying opportunities to adapt them for wireless network challenges.
* Specialized Learning and Mastery: Dive deep into the 5G radio protocol stack, with a focus on mastering higher-layer functionalities and understanding their role in modern wireless networks

Candidate Requirements:

* Advanced Academic Standing: You are currently in the final year of a master's program or pursuing a PhD in telecommunications, signal processing, electronics, computer science, or a closely related discipline.
* Wireless Communications Expertise: Strong foundational knowledge of wireless communication systems, with at least basic exposure to 5G networks and their architectural principles.
* Python Proficiency: Proven experience in Python programming, with the ability to develop efficient, robust, and scalable code.
* Machine Learning Foundations: Solid understanding of machine learning techniques, including supervised learning, loss functions, and dataset preparation. Experience with popular ML libraries (e.g., TensorFlow, PyTorch, or Scikit-learn) is a plus.
* Problem-Solving Enthusiasm: A passion for tackling complex technical challenges through a blend of analytical thinking and innovative approaches.
Preferred/Bonus Skills (Optional):
* Experience with natural language processing (NLP) models or large language models (LLMs).
* Knowledge of performance optimization in machine learning workflows.
* Familiarity with protocol layers in mobile networks (e.g., RAN, RRC, or NAS).
* Understanding of data handling for log or trace analysis in wireless systems.
* Experience in scripting and automation tools for data preprocessing or evaluation.
* Strong mathematical background in optimization, statistics, and algorithms