PhD Fellowships in Machine Learning for Caching in 5G Wireless Content Delivery Networks 2017, Luxemburg

Position Description

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD candidates 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.

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

PhD Positions in Machine Learning for Caching in 5G Wireless Content Delivery Networks

• Réf: 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: at least 1

The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates 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.

How to Apply

Application should include:

• Full CV, including list of publications and contact details of two referees
• 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 ONLINE.