Optimizing the Distribution of Computing and Learning Functions within 6G Network Data Planes

Within WP2: Optimization of High-Performance Networks and Links (Fiber, Radio, and Satellite) - Activity 2.4, the contract holder will contribute to the design of efficient solutions to advance the state of the art in the deployment logic of in-network computing functions (in the form of Virtual Network Functions) and their optimal orchestration, also considering the possibility of relying on evolutionary management paradigms such as the Network Digital Twin (NDT) paradigm. The focus will be on dynamic and evolving reference network scenarios for the project, introducing mechanisms capable of reacting in real time to changes in network operating conditions to consistently ensure high performance and compliance with the Quality of Service (QoS) constraints required by applications. It is also expected that the optimization can be adapted to run on quantum as well as traditional machines.

Selection process

Evaluation of the qualifications presented and subsequent oral interview for admitted candidates. a) relevance and congruence of the applicant's academic background with the activities covered by the assignment (maximum score of 20);b) relevance and relevance of previous research, teaching collaboration, and third-mission activities, as well as any work experience, in relation to the activities covered by the assignment (maximum score of 30);c) relevance and relevance of the publications included with the activity covered by the assignment (maximum score of 20);d) oral interview to assess the applicant's aptitude and suitability for carrying out the activity covered by the assignment, as well as to evaluate their knowledge of the English language (maximum score of 30).

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