Thesis worker: radio access network modelling
· Understanding of current mobile network technologies: LTE and 5G. Studies in related discipline at a phase suitable for M.Sc. thesis. Prior experience with RAN simulators is an advantage.
· Solid programming skills in Python and Matlab. Prior experience with TensorFlow/Keras, TensorFlow Probability (or similar) library, and Deep Reinforcement Learning are advantages.
· Strong analytical and mathematical skills. Prior practical experience in working with (Approximate) Bayesian learning, Bayesian Neural Networks and conventional ML techniques (e.g. DNNs, GANs, etc.) is an advantage.
· Experience with Unity game engine based programming is an advantage.
· Familiarity with Kubernetes and Kubeflow is a plus.
· Ability to work effectively in an international team. Our working language is English.