About the SnT 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.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. Your role The successful candidate will join the UBIX Research Group, led by Prof. Raphal Frank, and work in close collaboration with the industrial partners that are part of the 5GDrive consortium. This PhD project focuses on developing a tele operated driving system for autonomous vehicles using 5G technology. The aim is to create a low latency, high throughput network application that enables real time control and video transmission for remote vehicle operation. The project will develop a prototype, rigorously tested in both lab environments and real world conditions, to validate its reliability and safety. The research will contribute to advancements in autonomous vehicle technology, focusing on secure communication, reducing latency, and optimizing 5G''s application in connected transportation You will be required to perform the following tasks: Carrying out research in the predefined areas Disseminating results through scientific publications Communicate and interact with the partner''s team to collect requirements and report results Implement, test and evaluate proof of concept prototypes Collaborate with other researchers of the 5GDrive project For further information, please contact Your profile Qualification: The candidate should possess an MSc degree or equivalent in Computer Science or any related engineering discipline. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered by importance): Wireless Communication Technologies Distributed and Embedded Systems Machine Learning Data Analytics and Management Strong analytical and programming skills are required (Python and C/C++). Prior proven experience in innovation and research projects is an asset. Most importantly, you should be curiosity driven and willing to constantly learn new things! Language Skills: Fluent written and verbal communication skills in English are required. French, German or Luxembourgish is a plus. We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Reg