Doctoral candidate (PhD student): Emerging Technologies for Beyond 5G Wireless Networks (m/f)

Updated: about 1 year ago
Deadline: 31 Jul 2019
Position ID:University of Luxembourg -Interdisciplinary Centre of Security and Trust (SnT) -DOCCANDIDATETECHNOLOGIES5G [#13846, Ref: 50014035 / R-STR-5010-00-B]
Position Title: 
Position Type:Postdoctoral
Position Location:Luxembourg, N/A 1855, Luxembourg
Subject Area: Electrical Engineering / Engineering Technology
Appl Deadline:2019/07/31 (posted 2019/06/05, listed until 2019/07/31)
Position Description:    
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 following:, and  
Doctoral candidate (PhD student): Emerging Technologies for Beyond 5G Wireless Networks (m/f) 
• Ref: 50014035 / R-STR-5010-00-B  
• Fixed-term contract up to 3 years in total, pending satisfaction of progress milestones (CDD), on full time basis (40hrs/week) 
• Number of positions: 1 
• Employee and student status 
Position Description 
The successful candidate will join an internationally leading and motivated research group (SigCom) headed by Prof. Björn Ottersten and Prof. Symeon Chatzinotas in order to carry out doctoral research in one of the following topics: 
• Network/resource slicing for Beyond 5G wireless networks  
• Learning-assisted resource allocation for Beyond 5G wireless/IoT networks 
• Distributed edge-intelligence for Beyond 5G wireless/IoT networks 
• Latency minimization and reliability enhancement in Beyond 5G wireless networks 
• Resource management and Interference mitigation in hybrid satellite-terrestrial networks
Your Role 
The position holder will be required to perform the following tasks:  
• Carrying out research in the predefined areas  
• Disseminating results through scientific publications  
• Presenting results in the well-known international conferences and workshops 
For further information, please contact us at or 
Your Profile 
The candidate should possess an M.Sc./M.Eng. degree or equivalent in Electrical/Electronic or Telecommunications Engineering. 
Experience: The ideal candidate should have some knowledge and experience in some of the following topics: 
• Signal processing for wireless communications 
• Cross-layer resource allocation and scheduling 
• Radio resource optimization in 5G/IoT networks 
• Massive machine-type communications and Ultra-reliable low-latency communications 
• Cellular Internet of Things (IoT): LTE-M and NB-IoT 
• Satellite communications 
 and be familiar with the principles of  
• Machine learning/Deep learning 
• Optimization theory 
• Linear algebra 
• Statistical signal processing 
Programming skills: MATLAB, Python or C++. 
Language Skills: Fluent written and verbal communication skills in English are mandatory. 
We offer 
The University offers a Ph.D. study program with a Fixed Term Contract up to 3 years in total, pending satisfaction of progress milestones (CDD), full-time (40 hrs/week). 
Further Information 
Applications should be written in English and should include:  
• Full CV, including list of publications and names (and contact information including email addresses) of three references  
• 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: 31st of July, 2019  
Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered. 
The University of Luxembourg is an equal opportunity employer.  
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