Postdoctoral Researcher in Dynamic Topology-oriented Machine Learning for Future Satellite Communications

• Develop innovative methods and data-driven AI tools for highly dynamic SatCom systems
• Implement and open-source proof-of-concept software tools
• Collaborate with an international and multi-disciplinary team within the SIGCOM group
• Support ongoing activities related to AI/ML for wireless systems
• Attract new funding related to dynamic wireless communication networks
• Present results at well-known international conferences and workshops
• Participating in outreach events related to AI and SatCom, inspiring young generations to be interested in related topics

The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, and contribute to machine learning and AI projects for satellite systems. We are looking for a candidate capable of developing ML models and optimization algorithms specifically designed for highly dynamic satellite communication (SatCom) systems that can handle networks of varying sizes and configurations without requiring retraining from scratch, while maintaining robustness to changes in node order and network topologies. The position offers an exciting opportunity to engage in cutting-edge research that addresses both theoretical challenges and practical applications.

For further information, please contact Dr. Vu Nguyen Ha at vu-nguyen.ha@uni.lu and Dr. Ti Ti NGUYEN at titi.nguyen@uni.lu.

• Ph.D. degree in Telecommunications and Computer Science
• Proven research excellence with a solid track record of publications in relevant top-tier journals and conferences related to the topics of the position
• Expertise in one or more of the following areas:
  • Wireless and satellite communications
  • AI/ML for dynamic networks including Graph Neural Networks, Transfer Learning, Deep Reinforcement Learning, and Transformer-based models, including hands-on implementation
• Strong understanding of machine learning models and their development
• Strong analytical, problem solver, and programming skills for Python and Matlab are preferred
• Experience in similar environments with industrial collaborations or public-funded research projects is highly desirable
• Fluency in English is required

• A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
• An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs

Applications should include:

• Curriculum Vitae including:
  • Detailed academic background (degree, institution, country, dates),
  • Title and summary of the Ph.D. thesis (include Bachelor/Master theses if applicable),
  • List of publications
  • If available, link to GitHub repository including completed open-source projects
• Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective
• PhD diploma or a letter/information indicating the expected defense date
• Transcript of all modules and results from university-level courses taken

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 24 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg Campus
• Internal Title: Postdoctoral researcher
• Job Reference: UOL08113

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time).

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, the TelecomAILab, the CSATLab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/.

• Apply online