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Job ID: 163603

Ph.D. position on Intelligent traffic routing for heterogeneous MAdoCs
ReMI Institute and ÉTS


Date Posted Jul. 20, 2021
Title Ph.D. position on Intelligent traffic routing for heterogeneous MAdoCs
University ReMI Institute and ÉTS
Montréal, QC, Canada
Department Département de génie logiciel et des technologies de l'information
Application Deadline Open until filled
Position Start Date Available immediately
 
 
  • Graduate Student
  • Electrical and/or Electronics
    Computer Engineering
    Computer Science
 
 

Description
A Ph.D. position is available at the ReMI institute (https://remi-institute.com/) and the École de Technologie Supérieure (ÉTS https://www.etsmtl.ca/en/) in Montréal, Canada.

Context: The unprecedented expansion of Cloud Computing services and Internet of things (IoT) combined with the recent advances in Artificial Intelligence (AI) and Big Data analytics techniques is opening the door for new breeds of intelligent services and applications. Such services and applications require a large computing capacity to perform well. Unfortunately, in dynamic and mobile environments, characterized by intermittent connectivity, it becomes challenging to run such services and applications with a guaranteed performance, especially when it is not possible to rely on any fixed infrastructure giving access to cloud platforms with powerful servers.
In this project, we consider a Mobile Ad hoc Cloud (MAdoC), a dynamic cloud made of interconnected IoT and mobile devices with no dependence on a fixed infrastructure. MAdoC leverages recent technological advances in Software-Defined Networking (SDN), Big Data analytics, and Machine-Learning techniques to allow processing intensive applications.

Objective: The aim of this PhD is to design and develop efficient routing protocols adapted to a heterogeneous MAdoC where the network nodes have different capabilities and use different access technologies. In such networks, the characteristics of the nodes and the wireless links significantly change over time and space. The student will thus model and predict these characteristics by leveraging Machine Learning (ML) techniques. Accordingly, novel communication protocols will be introduced to efficiently share the metrics requested for routing among the involved nodes. Adaptive and scalable algorithms able to dynamically compute and adjust routing paths will also be devised.

Collaborations and Scholarship
The project will be co-supervised by Pr. Diala Naboulsi and Pr. Georges Kaddoum. It will be conducted in close collaboration with the industrial partner Ultra – Intelligence and Communications (https://www.ultra.group/gb/our-business-units/intelligence-communications/).

A scholarship is granted for fours years.

Qualifications and Requirements
The positions require:
- A master’s degree in Computer Science, Computer Engineering, Electrical Engineering or a related discipline
- Excellent writing, communication and presentation skills in English
- Solid knowledge in: i) networking, ii) machine learning and/or optimization
- Strong coding skills

How to Apply
Interested applicants must send the following documents, in a single PDF file, to: dia.naboulsi@gmail.com and georges.kaddoum@etsmtl.ca
- Detailed CV
- Bachelor’s degree and master’s degrees transcripts
- List of publications, if any
- Motivation letter

  • A letter of recommendation is a plus

Applications will be reviewed until the position is filled.


 
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