Master Internship AI Research RAN: Energy-efficient cell load balancing in 6G

il y a 5 jours


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

We are seeking a highly motivated and skilled Master Intern to join our team in AI Research RAN: Energy-efficient cell load balancing in 6G. As a key member of our team, you will play a crucial role in developing innovative solutions to optimize energy efficiency in 6G RAN networks.

Key responsibilities
  • Investigate and develop AI-based methods for energy-efficient RAN management in 6G networks
  • Design and implement Reinforcement Learning (RL) algorithms for user association and resource assignment
  • Collaborate with our team to integrate AI-driven solutions into our 6G RAN network architecture
  • Conduct thorough research and analysis to identify areas for improvement in energy efficiency
  • Develop and maintain a proprietary simulator to evaluate the quality of the solution
Requirements
  • Master's degree in Computer Science, Electrical Engineering, Mathematics, or Physics
  • Strong understanding of Machine Learning algorithms, including Reinforcement Learning and Generative-AI
  • Proficiency in Python and experience with scientific Python packages such as PyTorch, Scikit-learn, and Numpy
  • Excellent communication and teamwork skills
  • 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 cutting-edge projects, collaborate with a talented team, and develop your skills in AI research and development. We offer a dynamic and supportive work environment, with opportunities for growth and professional development.



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