University of Luxembourg

Doctoral Candidate (PhD student) in Resource Slicing for UAV Communication and Control in 5G Cellular Networks and Beyond

University of Luxembourg

Luxembourg, Luxembourg

The University of Luxembourg is a multilingual, international research University.

The Interdisciplinary Centre for Security,Reliability and Trust (SnT) invites applications from highly motivated PhD candidates in the general area of radio 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 and network automation. 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

Position Description:

This is a fully funded position for 3 years (extendable to an additional 4th year) within a national research project in collaboration with POST ( Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of POST towards their next-generation mobile networks. More precisely, the PhD project aims at addressing novel resource allocation algorithms required to perform ultra-reliable low-latency beyond-visual-LoS UAV navigation control and power-efficient UAV payload communication.

The successful candidate will work under the supervision of Prof. Björn Ottersten. The position holder will be required to perform the following tasks:

For further information, please contact Lin Xiang (

Profil :

Qualification: The candidate should possess an MSc degree or equivalent in Electrical/Electronic or Telecommunications Engineering or Computer Science or Applied Mathematics.

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

  • Radio resource allocation / Radio resource management (e.g. power allocation, frequency assignment, scheduling, beamforming, etc)
  • Optimization techniques and tools such as CVX
  • Background in general wireless communications and wireless networks
  • Knowledge of resource/network slicing is highly desirable but not mandatory.
  • Knowledge of machine learning/deep learning and implementations using Keras/PyTorch is a plus.
  • Programming skills in MATLAB are required.

Language Skills: Fluent written and verbal communication skills in English are required.

The University offers an Initial contract of 14 months, renewable for up to 36 months, with a further possible 1-year extension if required The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created university.

Application should include:
• Full CV, including list of publications and name (and email address, etc) of three referees
• Transcript of all modules and results from university-level courses taken
• Research statement and topics of particular interest to the candidate (300 words).

All qualified individuals are encouraged to apply.
Deadline for applications: February 20, 2020.
Please apply online via the following link :

Please apply via recruiter’s website.