Researcher in Machine Learning for Wireless Communications
28 Septembre 2023
Catégorie : Chercheur
The position of Researcher in Machine Learning for Wireless Communications is opened in the Advanced Wireless Laboratory of Huawei Technologies in Boulogne-Billancourt.
Paris Research Center
About Huawei: Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have approximately 195,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. Huawei's mission is to bring digital to every person, home and organization for a fully connected, intelligent world. In 2021, Huawei enter the TOP 10 of the Forbes Global Best Employers ranking.
About AWT Lab: Huawei Advanced Wireless Technology Lab, Paris, has been settled in 2014. After having participated to 5G standardization, AWT Lab is now doing research on 6G in the areas of applied mathematics and algorithms. Advanced new research topics as well as more traditional ones are being done in our Lab. MIMO, massive access, Integrated Sensing and Communication, distributed learning, semantic information and communication, low-complexity neural networks are at the heart of AWT Lab. We offer a very challenging environment with top researchers.
About the position
The position of Research Engineer is aimed at developing key physical-layer designs and algorithmic solutions for wireless communications. This will include the development of new algorithms and theoretical foundations of machine learning aided communications systems, as well as the implementation of the developed solutions for numerical evaluation and validation.
Required skills and qualities:
- Strong knowledge in machine learning;
- Advanced level in some of the following areas: information and signal processing theory, coding theory, physical layer algorithm design;
- Specialization in self-supervised learning would be a plus;
- Familiarity with programming in Python;
- Solid mathematical background and analytical reasoning;
- Agile, problem solving, teamwork spirit;
- PhD degree in a related field.