Bell Labs Internship - Mobility Robustness Optimization through Deep Reinforcement Learning
• Formally formulate the problem and its solution.
• Design and execute simulations and provide results.
Requirements
• Enrolled in a M.Sc. program in communications, computer science, signal processing, or applied mathematics
• Strong mathematical background
• Basic machine learning knowledge (neural networks, stochastic gradient descent)
• Good knowledge of one of the following languages: Python, Matlab, etc
• Experience with machine learning frameworks is a plus (Tensorflow, Pytorch, etc)
• Fluency in English