Thesis worker: automated planning for network management (ML/RL)

M.Sc. student in a relevant field (e.g., telecommunications, computer science, data science, programming). Status in studies must allow creation of M.Sc. thesis on the work topic.

Willingness to continue to graduate studies on the same project.

Solid understanding of modern machine learning concepts and hands-on experience in using it.

Knowledge and preferably experience with deep learning, reinforcement learning, and Q-learning.

Python programming skills and experience on related libraries like PyTorch and/or Keras/Tensorflow.

Computing platforms: Windows and Linux, code platform: Github.

Knowledge of modern telecommunications (5G) is a plus.

Able to comfortably work as a part of an international team, report on progress, and ability to leverage others’ related skills rather than reinventing the wheel.

English language skills – English is the working language in our organization.