ORGANISATION/EINRICHTUNGUniversity of Luxembourg
KARRIERESTUFEFirst Stage Researcher (R1)
BEWERBUNGSFRIST15/09/2020 23:00 - Europe/Brussels
STANDORTLuxembourg › Luxembourg
STUNDEN PRO WOCHE40
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 www.securityandtrust.lu
Doctoral candidate (PhD student) in Demand-based optimization of Multi-beam Satellite Communications Systems using Active Antennas (M/F)
- Ref: RCREQ0003929
- 36 months fixed-term contract with a further possible 1-year extension if required
- On full time basis (40 hrs/week)
- Employee and student status
- Number of positions: 1
- Deadline: July 31, 2020
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 https://wwwen.uni.lu/snt/research/sigcom
This is a fully funded position for 3 years (extendable to an additional 4th year) within a large, national research project (INSTRUCT - INtegrated Satellite-TeRrestrial Systems for Ubiquitous Beyond 5G CommunicaTions). The project is run in close cooperation with SES (https://www.ses.com/). Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of SES towards their next-generation of satellite systems. More precisely, the PhD project aims at addressing the resource optimization (power, bandwidth, frequency, time scheduling, beamforming) for sophisticated satellite system equipped with Digital Transparent Payloads (DTP) and Active Antenna Systems (AAS) able to adapt the satellite resources to the real and moving traffic conditions.
The successful candidate will work with an academic supervisor from the University of Luxembourg and with an industrial supervisor from SES, and join a strong and motivated research team lead by Prof. Björn Ottersten and Prof. Symeon Chatzinotas. The candidate is also expected to spend 25% of his/her time at the SES headquarters in Betzdorf, Luxembourg.
The position holder will be required to perform the following tasks:
- Contribute to the national project “INtegrated Satellite-TeRrestrial Systems for Ubiquitous Beyond 5G CommunicaTions - INSTRUCT”
- Project website: https://instruct-ipbg.uni.lu
- Carry out research in the predefined areas
- Disseminate results through scientific publications
- Present results in well-known international conferences and workshops
Qualification: The candidate should possess a MSc degree or equivalent in Electrical/Electronic or Telecommunications Engineering or Computer Science.
Experience: The ideal candidate should have some knowledge and experience in a number of the following topics:
- Radio resource allocation / Radio resource management (e.g. power allocation, frequency assignment, scheduling, etc)
- Array signal processing and beamforming
- Optimization techniques and tools
- Background in general wireless communications
- Knowledge of satellite communications is highly desirable but not mandatory.
- Knowledge of terrestrial wireless radio resource optimization techniques is considered an advantage
- Programming skills in MATLAB are required. Python is desirable
Language Skills: Fluent written and verbal communication skills in English are required.
The University offers a Ph.D. study program with an Initial contract of 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:
- For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and date (or expected date) of graduation Include the title and short summary of your final (Bachelor / Master) Thesis if you did one
- List of publications (if any)
- Name, affiliation and contact details of three referees
- Transcript of all modules and results from university-level courses taken
- Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page)
All qualified individuals are encouraged to apply.
Deadline for applications: 15 September 2020.
For further information, please contact us at email@example.com
Please apply ONLINE formally through the HR system. Applications by email will not be considered.
Early submission is encouraged; applications will be processed upon arrival.
EURAXESS Angebots-ID: 527665
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