Doctoral researcher in Advanced Wireless, Optical and Quantum Communications

Overview

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Interdisciplinary Centre for Security, Reliability and Trust at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We look for researchers 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.

The Signal Processing and Communications (SIGCOM) research group of SnT conducts research aimed at designing, emulating and testing new high-performance systems for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https://(Use the "Apply for this Job" box below)./sigcom

In addition, SIGCOM hosts the following experimental facilities:

• 6GSpace
  
  Lab:
  Real-world validation of advanced communication algorithms
• Comm Lab:
  Real-time wireless testbeds for DSP in satellite and terrestrial systems
• Hybrid Net Lab:
  Validation of large-scale autonomous and heterogeneous network orchestration
• QCI Lab:
  Quantum communication and QKD research across all network layers
• Telecom
  
  AI Lab: AI-based solutions for 5G/6G and satellite communications
• CSAT Lab:
  Design, fabrication, and measurement of advanced antenna technologies

We look for Doctoral Researchers from diverse academic backgrounds to contribute to our projects in the four strategic research areas of SIGCOM, namely:

• Radio frequency transceiver design
• Optical communications
• Quantum communications
• System-level design and optimization

The related domains and topics for each research area include:

• Hardware & waveform design:
  Reconfigurable intelligent surfaces, flexible antennas, power amplifiers, 6G waveform design including Orthogonal-Time Frequency Space modulation and DFT-s-OFDM
• Resource allocation and security design:
  Simultaneous wireless information and power transfer, physical layer design, joint source and channel coding, secure communications, jamming resilience techniques

Optical communications

• Photonics and free-space optics:
  Photonics, free-space optics arrays, pointing, acquisition, and tracking for ISL
• Next-generation optical communications: SLIPT, Adaptive optics, underwater optical communications, Li-Fi, OCC

Quantum communications

• Computing & Networking:
  QuMIMO, Quantum Error Correction, Multi-partite systems, Q Network Coding, Hybrid Quantum-Classical Neural Networks

System-level design and optimization

• AI & Intelligence:
  Agentic AI, Edge AI, information semantics for Earth Observation and Internet of Things, Telecom GPT, Open RAN/AI-RAN integration
• Infrastructure: MFSS (Multi-functional structures), ISAC (Integrated sensing and communications), Satellite swarms, unified terrestrial-non-terrestrial networks, non-terrestrial network entanglement distribution

The successful candidates are expected to disseminate their results through scientific publications and present them at well-known international conferences and workshops.

• M.Sc./M.Eng. Degree in telecommunication engineering, signal processing, machine learning or a closely related field in Electronic, Electrical and Computer Engineering
• The candidate should have at least 1 work published in prestigious journals and/or conferences, particularly Q1 journals and top-tier conference venues
• The candidate should have knowledge and experience in topics/tools such as:
• 5G/6G wireless communications technologies
• Wireless Internet of Things technologies
• Unmanned Aerial Vehicles (UAVs)
• Resource allocation and optimization
• Joint Communications and Sensing/PNT systems
• Network virtualization and network slicing
• MAC techniques/protocols for wireless systems
• Multi-antenna signal processing
• Graph signal processing
• Machine learning with tools such as Tensor Flow, PyTorch, Keras and Grey Cat
• Neuromorphic computing, spiking neural networks
• Deep learning and related networks (DNN, RNN, LSTM)
• Optimization theory
• Stochastic geometry
• Strong programming skills in MATLAB, Python, JULIA or C++

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 and dynamic university with high-quality equipment and close ties to the business world and the Luxembourg labour market. A partner for society and industry, with cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations and NGOs.

Applications should include:

• Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic…