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Energy-efficient 6G RAN Management using AI

Il y a 2 mois


Massy, Île-de-France Ericsson Temps plein
About this Opportunity

We are seeking a highly motivated and skilled Master Intern to join our team at Ericsson, working on a cutting-edge project focused on energy-efficient cell load balancing in 6G RAN using generative-AI decision making approaches.

Key Responsibilities
  • Investigate and develop AI-based solutions for energy-efficient RAN management in 6G networks
  • Apply modern machine learning methods, including Reinforcement Learning and Generative-AI models, to optimize resource allocation and reduce energy consumption
  • Collaborate with our team to design and implement a proprietary simulator to evaluate the quality of the solution
  • Study and analyze existing rule-based solutions and identify areas for improvement using AI-based methods
Requirements
  • Master's degree in Computer Science, Electrical Engineering, Mathematics, or Physics (or related field)
  • Good understanding of Machine Learning algorithms, including Reinforcement Learning, Generative-AI, and Neural Networks
  • Practical programming skills in Python, with experience in using scientific Python packages such as PyTorch, Scikit-learn, and Numpy
  • Excellent communication skills in written and spoken English
  • Background in telecommunication networks is a plus, but not required
What We Offer

As an intern at Ericsson, you will have the opportunity to work on a challenging and innovative project, collaborate with a talented team, and gain valuable experience in the field of AI and telecommunications. We offer a dynamic and supportive work environment, with opportunities for professional growth and development.