Doctoral Candidate (PhD student) in Modeling and Design of Mobile Networks Assisted by Reconfigurable Intelligent Surfaces
University of Luxembourg
Luxembourg, Luxembourg  
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source : Academic Media Group International AB

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.

We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

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!

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from highly motivated PhD candidates in the area of channel estimation and resource allocation for emerging wireless networks within its Signal Processing and Communications (SIGCOM) research group.

SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners.

For further information, you may refer to .

The SIGCOM research group is headed by Prof. Symeon Chatzinotas and Prof. Björn Ottersten. The team focuses on signal processing for satellite / wireless communications / networking and radar applications.

The research on communications focuses on the formulation, modelling, design, and analysis of future communication networks (beyond 5G) that are capable of supporting new services in a cost efficient manner.

In the B5G domain, SIGCOM addresses large antenna systems, multiuser MIMO systems, Non orthogonal Multiple Access, radio resource management, mmWave beamforming, physical layer security, full duplex systems, wireless power transfer, software defined networking, network automation, and reconfigurable intelligent surfaces.

In the satellite domain, SIGCOM addresses transceiver design, onboard processing, active antennas, multi-beam processing, optical communications, localization, spectrum monitoring and network performance optimization.

The analysis is based on traditional statistical and optimization methods, as well as learning-assisted approaches for offline training and operational system monitoring / control.

The communication activities are supported by CommLab, which exploits Software Defined Radios for fast prototyping and demonstration.

For further information, you may refer to https : / / / snt / research / sigcom.

Your Role

This is a fully funded position for 3 years (extendable to an additional 4th year) within a large, national research project ( RISOTTI R econfigurable I ntelligent S urfaces f O r Smar T Ci TI es).

The objectives of the PhD project are defined in accordance with the project directions. More precisely, the PhD project aims at addressing channel modeling and characterization for mobile relays enhanced by reconfigurable intelligent surfaces (RIS) within the concept of Smart Cities.

Here, one of the objectives will be to analyze various mobility profiles associated with the concept of Smart Cities. For each profile, various techniques of system modeling, such as Markov chains, machine learning, and analytical derivations, will be employed.

Depending on the resulting channel models, various aspects of network design with multiple mobile RIS will be tackled via joint optimization.

The successful candidate will work under the academic supervision of Prof. Ottersten (University of Luxembourg) and join a strong and motivated research team of SnT.

The position holder will be required to perform the following tasks :

  • Contribute to the national project RISOTTI Project website : RISOTTI
  • Carry out research in the predefined areas
  • Disseminate results through scientific publications
  • Present results in well-known international conferences and workshops
  • Your Profile

    Qualification : The candidate should possess a Master degree in Electronic Engineering, Computer Science or similar.

    Experience : The ideal candidate should have knowledge and experience in the following topics :

  • Strong background on wireless communications
  • Background on synchronization and estimation theory
  • Modeling of wireless channels
  • Optimization techniques and tools
  • Resource allocation
  • Machine learning and statistical inference
  • Programming skills in MATLAB, C / C++ or Python
  • Language Skills : Fluent written and verbal communication skills in English are required.

    Here’s what awaits you at SnT

  • A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
  • Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
  • The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our
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