PhD Opportunity in Next-Generation Networks: Join our fully funded PhD program and be part of groundbreaking research in next-generation networks, cloud computing, and AI-driven networking technologies. We are looking for motivated candidates passionate about shaping the future of communication systems beyond 5G.
Fully Funded PhD Opportunity in Next-Generation Networks & Cloud Infrastructure
Designation: PhD Researcher (Fully Funded)
Research Area:
- Networks and Cloud Computing
- Edge Computing
- Artificial Intelligence and Machine Learning in Networking
- Software-Defined Networking (SDN) and Time-Sensitive Networking (TSN)
- Cloud-Native Infrastructure for Post-5G Systems
Location: Quebec, Canada
Eligibility/Qualification:
- Strong background in networks, cloud computing, AI, and machine learning.
- Knowledge of SDN, TSN, and communication protocols.
- Interest in applying AI/ML methods to next-generation networking challenges.
- Ability to work independently and collaboratively with academic and industrial partners.
Job Description: As a PhD researcher, you will be engaged in:
- Enhancing Observability: Developing AI-driven policies to improve network and cloud observability.
- Federated Data Plane Development: Creating a federated data plane within a cloud-native platform to support systems beyond 5G.
- Optimizing Network Data Planes: Designing an efficient data plane tailored for post-5G cloud-native environments.
- Smart Control & Orchestration: Developing AI algorithms for network control and orchestrating a federated cloud-edge platform using machine learning.
- Validation & Experimentation: Testing, optimizing, and validating your research through simulations and real-world implementations.
What We Offer:
- A fully funded PhD position, covering tuition fees and providing a competitive stipend.
- Expert mentorship from leading researchers and industry professionals.
- Access to cutting-edge resources and collaboration with industrial partners.
- A stimulating research environment focused on innovation and career growth.
How to Apply: Interested candidates should submit the following documents:
- CV
- Cover letter
- Academic transcripts
- Relevant publications (if any)
- Links to code repositories (GitHub/GitLab)
Send applications to: uqtr.lab@gmail.com
We strongly value equity, diversity, and inclusion in our research team and encourage applications from women, visible minorities, ethnic minorities, Indigenous communities, and persons with disabilities.
Last Date to Apply: Apply as soon as possible—applications will be reviewed on a rolling basis!
