PhD Machine Learning based transceivers – Télécom Paris, France
Opening: Nokia bell labs in collaboration with Telecom Paris has a PhD opening for a candidate with an EE background. This PhD position will explore novel digital transceiver designs and apply machine-learning techniques to improve their performance, as well as FPGA implementations in real-time environments. The final goal is an improvement in the energy efficiency of 6G transmitters.
Context: The biggest challenge for next-gen communication systems in the upcoming decade is to support a large increase in data consumption while also meeting the energy consumption targets through intelligent usage of the networks. Hyper dense baseband massive MIMO is a part of this vision. This PhD position will explore novel digital transceiver designs and apply machine-learning techniques to improve their performance, as well as FPGA implementations in real-time environments. The final goal is an improvement in the energy efficiency of 6G transmitters.
Required and desired skills:
- Good background in the wireless physical layer
- Strong experience with Python.
- Knowledge of machine learning techniques
- Good experience in FPGA design
- Good understanding of digital-to-analog converter performance & 3GPP standard requirements (ENOB, EVM, ACLR, SEM)
- Experience with machine learning frameworks (e.g., Tensorflow, PyTorch, etc.)
Contract Duration: 36 months Starting date: Dec 2022
Location : Paris 15, LE DE FRANCE
Closing Date : 29 Nov 2022
HOW TO APPLY FOR THE SCHOLARSHIP
Click Here to Submit your Application on the University Website
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