About the SnT
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
TheInterdisciplinary 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.Welook forresearchers 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. SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with governmental, industrial and international partners. SnT is active in several national projects funded by National Research Fund (FNR) and local industries, and international research projects funded by the EU FP7 programme, H2020 programme, and the European Space Agency (ESA). For further information, you may check: www.securityandtrust.lu
The SigCom research group carries out research activities in the areas of signal processing for wireless communication systems, including satellite and 5G/6G communications. It is expanding its research activities to explore several emerging use cases of next-generation wireless communications systems and methods for enhancing the physical layer security of next-generation wireless systems against threats such as jamming attacks. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom
We''re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you''ve come to the right place!
Your role
The successful candidate is expected to perform the following tasks:
Your profile
The candidate should possess an M.Sc./M.Eng. Degree in Telecommunication Engineering, signal processing, machine learning or a closely related field in Electronic, Electrical and Computer Engineering.
The ideal candidate should have been within top 10% of class during his/her graduation, and should have published at least one authored conference paper in an international conference or one authored journal paper in an international journal.
The candidate should have some knowledge and experience in some of the following topics/tools: