University of Luxembourg

Doctoral Candidate (PhD student) in Autonomous Orchestration and Management of Beyond 5G Wireless Networks

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 following: www.securityandtrust.lu, and https://wwwen.uni.lu/snt/research/sigcom.

Doctoral candidate (PhD student): Autonomous Orchestration and Management of Beyond 5G Wireless Networks (M/F)

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:
• Autonomous network/resource slicing for Beyond 5G wireless networks
• Flow management for virtualized Beyond 5G wireless networks
• Machine learning-assisted network operation for Beyond 5G wireless networks
• Graph-assisted learning for large-scale dynamical 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 shree.sharma@uni.lu.

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:
• Cross-layer resource allocation and flow management in virtualized wireless networks
• Network and/or resource slicing
• Machine learning/deep learning techniques and tools
• Coexistence of eMBB, mMTC and URLLC Services
• Software defined networking based design
• Graph signal processing for wireless networks
and be familiar with the principles of
• Machine learning/Deep learning
• Graph theory
• Optimization theory
• Linear algebra

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). The University offers highly competitive salaries and is an equal opportunity employer.

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: 15th January 2020

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.
Link : http://emea3.mrted.ly/2cq8p

Please apply via recruiter’s website.

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