Research Intern – Machine Learning for 5G and Next Generation Radio Access Networks

Description:

Futurewei is expanding leadership in creating innovative networking technologies for 6G and beyond wireless networks. We are seeking interns to focus on research into wireless networking and technology for 6G RAN and beyond Next Generation Radio Access Networks (NG-RAN).

Responsibilities:

• Our intern will focus on research into wireless networking and technology for 6G RAN and beyond Next Generation Radio Access Networks (NG-RAN).

• The program goal will be to develop and demonstrate novel concepts for advanced wireless networks with massive MIMO to improve performance and reduce complexity and overhead by utilizing cutting-edge machine-learning techniques, built upon our existing research outcomes in these areas.

• A range of research activities are available including the survey of key scenarios, open issues, and existing research work in wireless network modeling and optimization, machine learning / artificial intelligence techniques, research on potential directions to address identified issues, and the research in one selected direction and solutions/evaluations development.

Requirements - 

The successful candidate will have:

• Completion of applicable graduate coursework in relevant fields within electrical engineering and/or applied mathematics, e.g., wireless communication, ML/AI, stochastic processes, communications networks, optimization. Doctoral students with completion of master’s degree, in Electrical Engineering, Computer science and/or Applied Mathematics are preferred.
• Candidate should have knowledge in wireless networks, and knowledge and previous experience in statistic modeling / machine learning / AI including traditional machine learning and deep learning.
• Excellent communication and teamwork skills.
• Proficiency with commercial programming/processing tools, e.g., Python, Tensorflow, Keras, MATLAB.

Location: Schaumburg, IL