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Symeon Chatzinotas

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Postdoctoral Researcher in Dynamic Topology University of Luxembourg in Luxembourg

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Luxembourg

University

University of Luxembourg

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Mathematics
Communication Studies
Artificial Intelligence
Wireless Communication
Transfer Learning
Graph Theory
Topology
Resource Management
Reinforcement Learning
Satellite Communication
Telecommunication
Machine learning

About this position

The University of Luxembourg, a leading international research university, is seeking a Postdoctoral Researcher in Dynamic Topology to join its Interdisciplinary Centre for Security, Reliability and Trust (SnT). The position is based within the SigCom research group, led by Professor Symeon Chatzinotas, and focuses on cutting-edge research in wireless and satellite communications, particularly the modeling, design, and analysis of future 6G communication networks. The group leverages advanced technologies such as semantic/task-oriented data processing, signal processing, network resource management, and artificial intelligence/machine learning to improve wireless communication systems.

Research topics 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. The group utilizes tools like graph theory, graph-signal processing, and convex/non-convex optimization, and is supported by state-of-the-art experimental labs and facilities.

The successful candidate will develop innovative methods and AI tools for highly dynamic satellite communication (SatCom) systems, implement open-source proof-of-concept software, and collaborate with an international, multidisciplinary team. Responsibilities include supporting ongoing AI/ML activities for wireless systems, attracting new funding, presenting research at international conferences, and participating in outreach events. The role requires developing machine learning models and optimization algorithms for SatCom systems that can adapt to varying network sizes and configurations without retraining, maintaining robustness to changes in node order and topology.

Applicants must hold a Ph.D. in Telecommunications and Computer Science, demonstrate research excellence with a strong publication record, and possess expertise in wireless/satellite communications and AI/ML for dynamic networks (including Graph Neural Networks, Transfer Learning, Deep Reinforcement Learning, and Transformer-based models). Strong analytical, problem-solving, and programming skills (Python and Matlab preferred) are essential. Experience with industrial collaborations or public-funded research projects is highly desirable. Fluency in English is required.

The University of Luxembourg offers a modern, dynamic, and inclusive research environment, with staff from over 90 countries and strong links to professional sectors and the Luxembourg labour market. The position is a fixed-term contract for 24 months, full-time (40 hours/week), with a yearly gross salary of EUR 85,176. Applications should be submitted online through the HR system, including a CV, cover letter, PhD diploma or expected defense date, transcripts, and publication list. Early application is encouraged as applications are processed upon reception. Applications by email will not be considered.

For further information about the SigCom group, visit https://www.uni.lu/snt-en/research-groups/sigcom/. Apply directly at this link.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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