Fully Funded PhD Positions in Digital Twin Networks and 6G Interference Management
PhDFinder
Date: 1 day ago
City: Laval, Quebec
Contract type: Full time
University: Université Laval
Country: Canada
Deadline: Not specified
The Laboratoire de Radio Communication et de Traitement du Signal (LRTS) at Université Laval is offering two fully funded PhD positions focused on research in Digital Twin Network–empowered interference management and dynamic spectrum sharing for 6G networks. Successful candidates will join a dynamic research group and contribute to pioneering advancements in wireless communications.
Eligibility Requirements
– A Master’s degree in a relevant field is required.
– Prior experience in one or more of the following areas is preferred: radio resource management, spectrum sharing and sensing, AI for wireless communications, MIMO networks, convex optimization.
– Preference may be given to candidates currently residing in Canada, due to specific funding conditions.
Application Process
Interested candidates should submit the following documents:
– Detailed CV
– Academic transcripts
– Brief summary of relevant expertise (included in the body of the email)
Applications and inquiries should be sent via email to: [email protected]
Want the latest academic positions tailored to your field and desired country sent directly to your inbox? Sign up now at: https://phdfinder.com/register and enjoy 2 weeks free!
Country: Canada
Deadline: Not specified
The Laboratoire de Radio Communication et de Traitement du Signal (LRTS) at Université Laval is offering two fully funded PhD positions focused on research in Digital Twin Network–empowered interference management and dynamic spectrum sharing for 6G networks. Successful candidates will join a dynamic research group and contribute to pioneering advancements in wireless communications.
Eligibility Requirements
– A Master’s degree in a relevant field is required.
– Prior experience in one or more of the following areas is preferred: radio resource management, spectrum sharing and sensing, AI for wireless communications, MIMO networks, convex optimization.
– Preference may be given to candidates currently residing in Canada, due to specific funding conditions.
Application Process
Interested candidates should submit the following documents:
– Detailed CV
– Academic transcripts
– Brief summary of relevant expertise (included in the body of the email)
Applications and inquiries should be sent via email to: [email protected]
Want the latest academic positions tailored to your field and desired country sent directly to your inbox? Sign up now at: https://phdfinder.com/register and enjoy 2 weeks free!
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