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 cognitive radio networks supported by machine learning algorithms.
The University of Luxembourg is looking for its Interdisciplinary Centre of Security and Trust (SNT) for a :
PhD Positions in Machine Learning for 5G Cognitive Radio Networks
- Ref: 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 main research area is on Cognitive Radio Networks which incorporate ideas from Machine Learning and require a combination of mathematical tools from Statistics, Optimization and Control Theory. Machine learning methods will be used for actively learning a set of features describing the wireless environment and subsequently for making distributed or centralized decisions on the cross-layer resource allocation using the paradigms of Software-Defined Radio and Networking. The desired performance indicators include the throughput of the cognitive network, the cumulative interference towards primary systems and the convergence rate of the developed algorithms.
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.
For more information please click "Further Official Information" below.