ORGANISATION/COMPANYUniversity of Luxembourg
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE31/07/2019 23:00 - Europe/Brussels
LOCATIONLuxembourg › Luxembourg
TYPE OF CONTRACTTemporary
HOURS PER WEEK40
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): 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
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
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
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.
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).
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.
EURAXESS offer ID: 413262
The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.
Please contact email@example.com if you wish to download all jobs in XML.