PHD Student October 2016

Start date: October 2016
Location: Strasbourg, France with frequent visits at the University of Freiburg, Germany
Hosting Institutions: Université de Strasbourg, ICube lab

Research topics: networking, Internet of Things, 5G, Heterogeneous Networks
Scientific supervisor: Fabrice Theoleyre theoleyre@unistra.fr
Application deadline: 05/05/2015

Review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications are received


Context
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While the historical mobile networks were primarily designed for voice and later extended for data communication (smartphones), we now face the rise of more intensive Machine-To-Machine communications. The LTE technology has recently provided a way to increase the throughput (≈300Mbps), but it is mainly dedicated to smartphone applications. In particular, such technology has not been designed to support a very large density of devices transmitting only a few data packets per day / week. The 5G networks provide a cornerstone architecture for enabling the emerging smart cities and smart buildings applications that exhibit those characteristics.

Currently, we face concurrent technologies for the Internet of Things (LoRA, IEEE 802.11ah, IEEE 802.15.4g, IEEE 8021.5.4e-TSCH) which all exploit the same unlicensed band. Each of these technologies has its own advantages and scenario of predilection: they will probably have to cohabit in the future. One of the major future challenges will consist in exploiting a symbiosis between multiple of them.

The PhD student will explore how we may use all these technologies to provide connectivity in the Internet of Everything. First of all, he or she will conduct experiments on our FIT IoT-Lab (http://iot-lab.info/) platform to more accurately model their interactions, and to extract pathological situations.

The second step will consist of proposing a new architecture, and new mechanisms to make them work together. We must be able to provide mechanisms to guarantee end-to-end performance: whatever the technology used for each hop, a minimum reliability or a maximum delay should be secured. Software Defined Networking (SDN) may provide interesting mechanisms to guarantee flow isolation.

Conditions
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This PhD position is funded by the University of Strasbourg, through the IdEx program. Applicants will benefit from a specific package (accommodation, mobility, summer schools, etc.): http://cde.unistra.fr/index.php?id=6077&L=2

Skills
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The successful student should:
- Be eager to tackle real problems with innovative solutions
- Present good communication skills
- Possess good verbal and written English skills (French is not required)
- Present excellent programming skills in C, knowledge of at least one scripting language
- Any experience with networked/embedded systems and IoT is a plus
- Holding an MSc in Computer Science or Electrical Engineering is mandatory

How to Apply & Contact Information
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If you need additional information on this job offer, please contact theoleyre@unistra.fr

Please apply by sending the following document to theoleyre@unistra.fr
- The subject of the email MUST contain "[PhD-IIoT-5G]"
- Letter of application
- Curriculum vitae
- Transcripts for undergraduate and graduate studies
- References or letters of recommendation
- Any other document showing that you are an outstanding candidate

Review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications are received

On the WWW
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https://www.unistra.fr/
http://icube.unistra.fr/
http://icube-reseaux.unistra.fr/en
http://cde.unistra.fr/
http://ed.math-spi.unistra.fr/