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Eva Lagunas

Professor at University of Luxembourg

University of Luxembourg

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Luxembourg

Has open position

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Research Interests

Internet Of Things

20%

Artificial Intelligence

20%

Edge Computing

20%

Signal Processing

20%

Graph Theory

20%

Resource Management

20%

Computer Science

20%

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Positions2

Publisher
source

Eva Lagunas

University Name
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SnT (Interdisciplinary Centre for Security, Reliability and Trust)

Wireless/satellite communications, AI integration

The SIGCOM research group at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT) is offering a PhD position focused on the intersection of advanced artificial intelligence (AI) techniques and wireless communications. Led by Prof. Symeon Chatzinotas, the group specializes in wireless and satellite communications, with research spanning the design, modeling, and analysis of future 6G networks. The group addresses a wide range of use cases, including secure and efficient wireless communication, IoT verticals, unmanned aerial vehicles, integrated satellite-space-terrestrial networks, quantum communications, spectrum management, tactile internet, earth observation, and autonomous transportation. Technical enablers include semantic and task-oriented data processing, advanced signal processing, and network resource management, all aimed at enhancing the performance of next-generation wireless systems. The group leverages state-of-the-art tools such as AI/machine learning, graph theory, and optimization techniques to tackle the complexity and heterogeneity of large-scale 6G networks. Experimental research is supported by several specialized labs, including COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, and CSAT Lab. The successful PhD candidate will contribute to AI-related projects, particularly those involving foundation models, large language models, generative AI, federated and decentralized learning, neurosymbolic and hybrid AI, and self-supervised and few-shot learning. The research will focus on integrating these AI techniques into wireless communication and edge computing systems, with practical applications in real-time analytics, IoT, and remote sensing. Responsibilities include developing adaptive, AI-driven embedded algorithms, collaborating with multidisciplinary teams to integrate AI into telecommunication architectures, supporting lab activities related to embedded and edge computing platforms, publishing research in top-tier venues, and engaging in outreach activities. The position offers a dynamic environment for cutting-edge research and professional development. For more information, candidates are encouraged to contact Prof. Eva Lagunas or Dr. Vu Nguyen Ha, or visit the SIGCOM research group website.

Publisher
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Symeon Chatzinotas

University Name
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University of Luxembourg

6G communication networks

The University of Luxembourg, a leading international research university, is seeking a Postdoctoral Researcher to join the Signal Processing and Communications (SIGCOM) research group at the Interdisciplinary Centre for Security, Reliability and Trust (SnT). SIGCOM, led by Prof. Symeon Chatzinotas, is renowned for its work in wireless and satellite communications, focusing on the design and analysis of future 6G networks and their applications in digital ecosystems. The group’s research spans network security, information assurance, cloud computing, cryptography, vehicular networks, and ICT services, with a strong emphasis on experimental and industry-driven innovation. The successful candidate will contribute to AI-related projects at the intersection of advanced AI techniques—such as Foundation Models, Large Language Models, Generative AI, Federated and Decentralized Learning, Neurosymbolic and Hybrid AI, and Self-Supervised Learning—and their integration into wireless communications and edge computing systems. Responsibilities include developing adaptive, AI-driven embedded algorithms for real-time analytics in IoT and wireless systems, collaborating with multidisciplinary teams to integrate AI into telecommunication architectures, optimizing AI implementations on edge platforms (e.g., Jetson, Raspberry Pi, FPGA), and disseminating research through publications and outreach. Applicants must have a Ph.D. in Electrical/Computer Engineering, Computer Science, or a related field, with a strong publication record in applied AI. Required expertise includes time-series analytics, IoT, semantic communication, edge intelligence, deep learning, federated learning, and proficiency in Python and machine learning frameworks. Experience with edge AI hardware, industrial collaborations, and international research is advantageous. The position offers a fixed-term contract of 24 months, a competitive gross annual salary of EUR 85,176, and access to state-of-the-art facilities in a dynamic, international environment. The University is committed to diversity and gender parity. Applications should be submitted online and include a CV, thesis summaries, publication list, and a cover letter detailing motivation and research interests. Early applications are encouraged as review is ongoing until the deadline of September 19, 2026.

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