The University of Luxembourg, a leading international research university, is offering a PhD position in Dynamic Machine Learning for Satellite Communications within the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The successful candidate will join the SigCom research group, led by Prof. Symeon Chatzinotas, which specializes in wireless and satellite communications, networking, and the development of future 6G communication networks. The group is renowned for its work in secure, reliable ICT systems and its strong partnerships with industry and European institutions.

This doctoral project focuses on developing advanced machine learning models and optimization algorithms tailored for highly dynamic satellite communication systems. The research aims to create ML solutions that adapt to networks of varying sizes and configurations without retraining, maintaining robustness to changes in node order and network topologies. Key technical areas include Graph Neural Networks, Transfer Learning, Deep Reinforcement Learning, Transformer-based models, semantic/task-oriented data processing, and signal processing. The project is experimentally driven, supported by state-of-the-art labs such as COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAILab, CSATLab, and advanced simulation facilities.

Applicants should hold an MSc degree or equivalent in Mathematics, Telecommunications, or Computer Science. Preferred qualifications include hands-on experience with machine learning (especially graph-based and deep learning models), strong programming skills in Python and Matlab, and knowledge of Non-Terrestrial Networks and Semantic Communications. Experience in data-driven innovation projects and prior research publications are advantageous. Candidates must demonstrate at least B2-level proficiency in the language of their thesis.

The position offers a fixed-term contract of 36 months (extendable to 48 months if required), with a yearly gross salary of EUR 41,976. The University of Luxembourg provides a modern, multilingual, and international environment, high-quality equipment, and close ties to industry and society. The campus is located in Kirchberg, Luxembourg, and the university promotes an inclusive culture, encouraging applications from all backgrounds.

To apply, candidates should prepare a CV, degree details, thesis summary, transcript, and a cover letter outlining motivation and fit for the topic. If available, include a link to a GitHub repository with open-source projects. Applications must be submitted online via the university HR system; email applications are not accepted. Early application is recommended as applications are processed upon receipt.

For further information about the research group, visit SigCom Research Group. The official application link is here.