PostDoc(03/11/2022)

Call for a PhD Position: Green network slice orchestration in virtualized Radio Access Networks (vRANs)

Short description:

The evolution beyond 5G (B5G) and towards 6G is presently starting off, and it is an opportunity not to be missed to introduce a neat turning point for cleaner and greener mobile communication systems. Any credible sustainability solution for 6G radio access must be designed in full compliance with the specificities of the ever-evolving Radio Access Network (RAN) architecture, which is embracing the virtualized RAN (vRAN) concept, combining, 
disaggregation, virtualization, cloudification and support for network slicing at the very edge of the network. By running RAN functionalities as Virtual Network Functions (VNFs) over commodity hardware on a (edge) cloud infrastructure, vRANs provide clear gains in resource pooling and multiplexing, as well as from coordinated processing.

In this context, the first objective of the proposed PhD thesis is to build open datasets of the power consumption at the User Equipment (UE) as well as in the energy-hungry vRAN infrastructures using the OpenAirInterface (OAI)-based 5G experimental testbed available at ÉTS-Montréal. These datasets will be then leveraged using machine learning (ML) to characterize the energy requirements of different VNFs configuration scenarios. We will then propose "green network slicing" paradigm, allowing to create logical networks (i.e. network slices), while ensuring the sustainability of the mobile network. The PhD candidate will research, design and validate ML-based algorithms for energy-aware green network slice orchestration.

The PhD position is funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) SHADOWS project, and will be directed by Prof. Rami Langar at École de Technologie Supérieure (ÉTS), Montréal, Canada.

Collaborations and Scholarship:

A scholarship is granted for 4 years. The expected starting date is in May 2023.

The project will be conducted in close collaboration with two universities in France : University Gustave Eiffel and La Rochelle University.

Qualifications and Requirements:

The position requires:
- A Master's degree in Electrical or Computer Engineering, Computer Science, or a related discipline
- Excellent writing, communication and presentation skills in English
- Good knowledge in: i) wireless and mobile networks, ii) machine learning and/or optimization
- Strong coding skills in Python, Java, C or C++

How to Apply:

Interested applicants must send the following documents, in a single PDF file, to: rami.langar@etsmtl.ca 
and yacine.ghamri@univ-lr.fr indicating the PhD subject in the message title:

- 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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Call for a Post-doc/Research Engineering Position: Network slice security management in OAI-based 5G platform

Short description:

A postdoc position is available at École de Technologie Supérieure (ÉTS https://www.etsmtl.ca/en/) in Montréal, Canada.

The candidate will conduct research towards enhancing attack detection and mitigation in 5G and beyond mobile networks. In a first step, open datasets will be build by emulating relevant attacks scenarios on an OpenAirInterface (OAI)-based 5G experimental testbed available at ÉTS-Montréal. The candidate will then propose solutions based on Machine-Learning (ML) to detect and deploy relevant countermeasures to mitigate these attacks.

Collaborations and Scholarship:

This position is funded by the DnD-MicroNet project on "5G security", and will be conducted in close collaboration with University Gustave Eiffel (France), as well as University of Waterloo (Canada), and other industrial partners such as: Rogers, Noviflow, and Blackberry (Canada).

The successful applicant is expected to join ÉTS for an initial 1-year contract, starting in May 2023 (possible extension for a second year).

Qualifications and Requirements:

The position requires:
- A PhD degree in Electrical or Computer Engineering, Computer Science, or a related discipline
- Excellent writing, communication and presentation skills in English
- Good knowledge in: i) wireless and mobile networks, ii) machine learning and/or optimization
- Strong coding skills in C++, Java, or Python.

How to Apply:

Interested applicants must send the following documents, in a single PDF file, to: rami.langar@etsmtl.ca :

- Detailed CV
- List of publications
- The contact of two references

Applications will be reviewed until the position is filled.