Tecnologías Disruptivas
Resources
The candidate will have the opportunity to work with real-world data and testbeds to design, test and validate their work.
Are you interested?
If you are a professor or university student and you are interested in participating in the TUTORING program, register your information so that we can start the program.
Subject Area
We are looking for talented students who want to develop their BsC/MsC in an industrial enviroment. Ideally, the candidate should have some background in both data science (e.g., ML, Deep Learning) and mobile networks.
Introduction
Mobile networks are continuously evolving with each new generation, driven by the emergence of groundbreaking applications and communication paradigms. In this context, in the coming years networks will face hard challenges to meet the demands of future applications, such as the eagerly expected metaverse. In this (r)evolution, Deep Learning is among the most promising techniques for achieving unprecedented levels of connectivity and user experience that can meet such demands. This project is research-oriented, and is intended for candidates who dare to explore the boundaries of knowledge in the fields of Deep Learning and Mobile Networks.
Challenge raised
In this project, the student will have the opportunity to work on real-world problems around 5G and beyond mobile networks. The project will be focused on the use of advanced Deep Learning techniques for solving hard open challenges in networks, such as mobility management optimization, planning of future mobile networks, or creating cutting-edge network automation tools to facilitate the day-to-day operations of network engineers around the world.
