This position is funded within the PEPR 5G and Networks of the Future programme, a national priority research programme (France 2030) co-directed by CEA, CNRS and IMT with a total budget of €65M. The programme aims to position France at the forefront of 5G, 6G and future network technologies across the full value chain.
The present work is part of the NF-MUST project (End-to-End Multi-domain Service Management Architecture of the Networks of the Future), which focuses on automating the provisioning and lifecycle management of multi-domain, multi-stakeholder services over highly heterogeneous and dynamically evolving future network infrastructures. NF-MUST covers end-to-end orchestration of coordination, cooperation and interaction functions to satisfy diverse service requests across multiple sectors, with strong emphasis on resource availability, security, performance and frugality. The project runs from May 2023 to December 2027 and involves partners including CNRS, Inria, CEA-List, Télécom Paris, Télécom SudParis, EURECOM and others.
This research engineer position contributes to the NF-MUST objectives by developing orchestration mechanisms for native AI services deployed over Telco Cloud infrastructure, at the intersection of AI workload management, cloud-native networking and future network architectures.
5G and pre-6G networks must host heterogeneous intelligent applications — autonomous driving, augmented reality, real-time video analytics, embedded machine learning — whose requirements in terms of latency, energy, and model quality evolve dynamically. Open Telco Cloud platforms, based on Kubernetes, provide a shared infrastructure across operators for hosting cloud-native network functions and edge workloads. A major challenge remains, however: these platforms do not natively handle the specificities of AI workloads — adaptive architectures, distributed training, energy-aware inference scheduling.
This position is part of a research project aimed at designing and validating intelligent orchestration mechanisms for dynamic AI models on Telco Cloud infrastructure, covering the device–edge–cloud continuum. The solutions developed will be designed to be compatible with open standards in the field (Kubernetes/CaaS) and potentially integrable into different Telco Cloud platforms (Sylva, Nephio, or other cloud-native stacks).
