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Thesis worker: radio access network modelling

Published date more than one year ago
Posted: more than one year ago
Company Nokia
Company: Nokia
Location Espoo
Location: Espoo

Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things. 
Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect.
Nokia is an equal opportunity employer that is committed to diversity and inclusion.
At Nokia, employment decisions are made regardless of race, colour, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.

Bell Labs Espoo Management and Orchestration (M&O) research team is looking for M.Sc. thesis worker. The thesis worker will be co-operating with Bell Labs researchers in the team to develop models for RAN using simulations and different modelling techniques.

 


·       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.

TEC-19749 : Display Job fields