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 SIGCOM Research Group, led by Prof. Symeon Chatzinotas. Additionally, this industrial project will be conducted in partnership with the Odysseus Space company as part of the Simulator development for the optical slant path program. This PhD project aims to develop an analysis tool for the optical ground to satellite links and vice versa. In this context, key performance indicators of various modulation types will be analyzed considering the variations in the zenith angle and the atmospheric conditions. The project aims to develop a simulator to combine all the analyses. The position holder 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 and open source proof of concept software tools Collaborate with other researchers of the program For further information, please contact Dr. Mert Bayraktar Your profile The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience in a number of the following topics: Turbulence modeling with wave propagation simulations Modulations used in optical wireless communications Data Analysis and Management Implement and open source proof of concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data driven innovation projects is an asset as well as having prior research publications in high ranking journals or in international conference proceedings. 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. We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR) A modern