- survey the state of the art in emerging wireless networks, including their simulation using real data assimilation, machine learning, and digital twin approaches; - collaborate in the writing of technical reports on communications protocols, algorithms, and mechanisms developed; - develop new modules enabling the simulation and/or experimentation of emerging wireless networks; - write publications in co-authorship within the scope of the work developed; - write the final activity report of the grant.
MSc in Electrical Engineering or similar
Minimum profile required
- solid knowledge in TCP/IP stack and Linux;- programming skills in C++ and Python;- experience using Artificial Intelligence/Machine Learning applied to the wireless networks area.
- knowledge in IEEE 802.11 and IoT technologies; - knowledge in discrete event-driven simulation; - research experience regarding the performance optimization of wireless networks using Artificial Intelligence/Machine Learning-based algorithms.
Since 07 Nov 2022 to 18 Nov 2022
Cluster / Centre
Networked Intelligent Systems / Telecommunications and Multimedia