PhD in Edge AI & Swarm Intelligence for Wireless Networks

About the SnT

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G 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 COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/.

Your role

This PhD position is part of the "SHIELD - Reliable Distributed Learning and Smart Contract assisted Digital Ecosystems" project funded by the FNR, according to the international research CHIST-ERA Program, a consortium of research funding organizations in Europe and beyond supporting use-inspired basic research in Information and Communication Technologies (ICT) or at the interface between ICT and other domains, see here: https://www.chistera.eu.

The successful candidate will join the SIGCOM Research Group and work in SHIELD project which aims to employ optimization and distributed AI tools to address the technical challenges associated with NTNs supporting global digital ecosystems. Introduces a new paradigm for network management that emphasizes efficiency, sustainability, and trust.

You will be required to perform the following tasks:

• Carrying out research in the predefined areas
• Disseminating results through scientific publications
• Communicate and interact with other partners in SHIELD project to collect/prepare requirements and report results
• Implement and open-source proof-of-concept software tools
• Collaborate with other researchers of the SHIELD project and disseminate the outputs at conferences, workshops organized by SHIELD consortium
• Disseminate results through scientific publications
• Present results in well-known international conferences and workshops
• Participating in outreach events related to AI and NTN, inspiring young generations to be interested in related topics

For further information, please contact vu- and

Your profile

Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science.

Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics:

• Strong emphasis on telecommunications and networks theoretical background
• Knowledge of Machine Learning, specially, distributed AI and Federated Learning, with hand-on implementation experience
• Strong analytical, problem solver, and programming skills (Python, Matlab) are preferred
• Knowledge in Non-Terrestrial Networks, Semantic Communications, Blockchain for Digital Ecosystems is a plus

Prior proven experience in data-driven innovation projects is an asset as well as having prior research publications in high-ranking journals or in international conference proceedings. Most importantly, you should be curiosity driven and willing to constantly learn new things!

Language Skills: Fluent written and verbal communication skills in English are required.

We offer

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications should include:

• Full CV, including:
  • For each degree received or currently enrolled in, the degree, institution name, city, and country, and date (or expected date) of graduation
  • Title and short summary of final thesis
  • List of publications (if any)
  • Name, affiliation, and contact details of at least two recommenders
  • If available, link to GitHub repository including completed open-source projects
• Transcript of all modules and results from university-level courses taken
• Cover letter with motivations and topics of particular interest to the candidate (500 words)

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

• Contract Type: Fixed Term Contract 36 Month (extendable up to 48 months if required)
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg Campus
• Internal Title: Doctoral Researcher
• Job Reference: UOL06979

The yearly gross salary for every PhD at the UL is EUR 40952 (full time).