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Postdocs RA in Machine Learning for Caching in 5G Wireless Content Delivery Networks

University of Luxembourg


Location:
Luxembourg, Luxembourg
Date:
05/10/2017
Job Code:
R-STR-5010-00-B
Job Type:
Employee, Contract, Temp
Job Status:
Full Time
Categories:
  • Antennas and Propagation
  • Broadcast Technology
  • Communications
  • Computer Engineering
  • Research
University of Luxembourg
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Job Details

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

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD holders in the general area of wireless communications and networking. SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. Recently, Prof. Bjorn Ottersten Director of SnT, has been awarded the prestigious European Research Council (ERC) Advanced Grant to pursue research on caching algorithms with applications to content delivery networks. For further information, you may check: http://wwwen.uni.lu/snt/research/sigcom  and www.securityandtrust.lu

 The University of Luxembourg is looking for its Interdisciplinary Centre of Security and Trust (SNT) for a :

Research Associates (Postdocs) in Machine Learning for Caching in 5G Wireless Content Delivery Networks

  • Ref: R-STR-5010-00-B
  • Fixed Term Contract 2 years (CDD), full-time 40 hrs/week
  • Number of positions:  At least 1

The Centre is rapidly expanding its research activities and is seeking highly motivated Research Associates (PostDocs) who wish to contribute to its partnership and ERC research projects. The proliferation of smart handsets and data-hungry applications have put stringent rate and latency requirements for future content delivery networks. Proactive edge caching is one of promising techniques to not only reduce the backhaul load but also the perceived latency and subsequently improve user quality of experience. The key challenge in proactive caching is to accurately estimate the content popularity statistics and exploit them to optimize the communication strategy and system resource allocation using machine learning techniques.

For further information, please contact Symeon.Chatzinotas@uni.lu.


Your Role

The successful candidates will join a strong and motivated research team lead by Prof. Björn Ottersten and Dr. Symeon Chatzinotas.

The position holders will be required to perform the following tasks:

  • Shaping research directions and producing results
  • Attracting funding in cooperation with industrial partners
  • Coordinating research projects and delivering outputs
  • Providing guidance to PhD and MSc students
  • Disseminating results through scientific publications
  • Assisting in teaching duties
  • Organizing relevant workshops

Requirements

Your Profile

The candidates should possess a PhD degree or equivalent in Electrical/Electronics Engineering, Computer Science or Applied Mathematics.

The ideal candidate should have both project-based experience (FP7/H2020, ESA, Industry) and a publication record in a number of the following topics:

  • Caching and Information Centric Networking
  • Cross-layer Resource Management & Optimization
  • Applications of Machine Learning in Communication Systems
  • Software Defined Networking & Network Function Virtualization
  • Machine to Machine and Internet of Things

and be familiar with a number of the following mathematical tools:

  • Non-parametric statistics
  • Bayesian Reasoning for Classification, Clustering, Regression and Ranking
  • Convex Optimization
  • Stochastic, Robust or Chance-Constrained Optimization
  • Dynamic Programming

Development skills in MATLAB or C++ are required.  Exposure to the latest standards in terrestrial and satellite communications as well as theory and methods of optimization are desirable. Hands-on experience is Software Defined Radio/Networking is also desirable.

Fluent written and verbal communication skills in English are required.

We offer

The University offers a two-year employment contract and may be extended up to five years. 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 dynamic and growing centre.

Application

Application should be submitted online and 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).

Please apply online until 1st August, 2017 via the following link.

Early submission is encouraged; applications will be processed upon arrival.

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