Postdoc in Distributed Artificial Intelligence for 6G Networks

at  Springer Nature

POSTDOC IN DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR 6G NETWORKS

Employer
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
Location
Luxembourg
Salary
Negotiable
Closing date
4 Jun 2024
Discipline
Computing, Engineering
Job Type
Researcher
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia

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ABOUT THE SNT…

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from highly motivated and outstanding researchers in the general area of distributed artificial intelligence (AI) for 6G networks within its Signal Processing and Communications (SIGCOM) research group. SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. For further information, you may refer to www.securityandtrust.lu
The research group focuses on wireless/satellite communications and networking and is headed by Prof. Symeon Chatzinotas . The research areas focus on the formulation, modelling, design, and analysis of future 5G and beyond communication networks that are capable of supporting new services in a cost-efficient manner. Use cases of interest include IoT verticals, unmanned aerial vehicles, integrated satellite-space-terrestrial networks, quantum communications and key distribution, spectrum management and coexistence, tactile Internet, and autonomous transportation. As far as technical enablers are concerned, we leverage expertise on massive MIMO cell-free communications, smart-radio environments through the use of intelligent surfaces, machine-type and ultra-reliable and low-latency communications, edge computing and caching, RAN slicing, and network softwarization and visualization. Finally, due to the large-scale nature, complexity, and heterogeneity of 5G and beyond networks, for their analysis and optimization we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the SDR CommLab, the SDN Lab, the 5G-Space Lab, our SW Simulators, and our OTA Facilties. For further information, you may refer to https://wwwen.uni.lu/snt/research/sigcom
We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

The successful candidate will primarily contribute to the large Horizon Europe research project ETHER - sElf-evolving terrestrial/non-Terrestrial Hybrid nEtwoRks that started on 01/01/2023. ETHER is going to provide a framework for the integrated terrestrial/non-terrestrial network ecosystem that involves an efficient and zero-touch resource management, provides solution for key radio access network challenges, and identifies the business opportunities for potential stakeholders. To realize this novel system concept, ETHER relies on a multi-layered and unified space-aerial-terrestrial architecture, leveraging the benefits of Artificial Intelligence/ Machine Learning (AI/ML) for the optimization of the highly complex and heterogeneous “network of networks”. It will rely on the generation and processing of a massive amount of data that spans the terrestrial, aerial, and space networks. This data will be generated, e.g., by satellites, high altitude platforms (HAPS), Unmanned Aerial Vehicles (UAVs), airplanes, small cells, and User Equipment (UE)/Internet-of-Things (IoT) devices and can reveal hidden trends, thus, proactive network adaptation to foreseen requirements can be achieved. Due to the massive scale of these data, distributed AI/ML approaches are essential, such as multi-agent reinforcement learning and federated learning. Apart from ETHER, the successful candidate is expected to contribute to the development of such a distributed learning framework for additional applications that are of interest to SIGCOM. Indicative areas of interest are Industry 5.0, autonomous driving, and smart healthcare.

In summary, the position holder will be required to perform the following tasks:

• Contribute to the development of distributed AI/ML solutions for the Horizon Europe project ETHER - sElf-evolving terrestrial/non-Terrestrial Hybrid nEtwoRks
• Contribute to the development of distributed AI/ML solutions in further fields of interest to SIGCOM, such as Industry 5.0, autonomous driving, and smart healthcare
• Disseminating results through scientific publications and conferences
• The candidate is expected to actively contribute to the different research projects, either coordinating technical contribution and/or preparing project deliverables
• Preparing new research proposals to attract industrial, national, and European projects
• Providing assistance in the supervision of PhD students