PhD «State evaluation, reconfiguration and resynchronization of Network Digital Twins » M/F

Job title:

PhD «State evaluation, reconfiguration and resynchronization of Network Digital Twins » M/F

Company:

Orange

Job description

about the roleYour role is to work on the PhD thesis entitled “State evaluation, reconfiguration and resynchronization of Network Digital Twins”Global Context and Problematic of the TopicDigital twins (DTs) for networks are part of the major strategic technological trends at Orange.For Orange, the continuous evolution of networks leads to an increasing complexity in managing physical entities (optical/mobile core network), their physical environment (decentralized, shared), and software. This complexity results in difficulties in automating networks, both in nominal operation (monitoring) and in incident management.To address this evolution, it is necessary to have a holistic view of networks. Network DTs are seen as the central enabler to provide this vision, thus moving towards the capabilities of next-generation autonomous networks: monitoring, simulation, reconfiguration[1], orchestration of heterogeneous networks, impact analysis on different network layers[2], anomaly detection[3]…Scientific objective: results and challenges to overcomeThis work will be conducted in the technological environment of the Thing’in digital twin platform developed by Orange, and the open-source Telco Cloud platform Sylva, of which Orange is one of the founders and contributors (https://sylvaproject.org/about-sylva/).The main ambition is, through the DT, to detect drifts between a target infrastructure (Sylva) and the actually deployed infrastructure, and to propose reconfigurations to resynchronize the two elements (alignment of IT and field).The major objectives are to define and develop:Data models that will represent, within the DTs, the states of networks, network functions, target infrastructures (the IT) and those actually deployed (the field).
Continuous evaluation approaches, including predictive/simulated, for state analysis and drift detection at the DT level.
Resynchronization, taking into account technical constraints (heterogeneity of networks, access constraints, latency, resources, deployment, scalability…).Methodological approachState of the art of DTs, autonomous networks, virtualized networks.Development of architectures, data models, algorithms, in collaboration with research and business experts. The work may build on previous studies: historization of DTs, complex DTs, predictive approaches for DT graphs.
Implementation through Thing’in and Sylva of DT prototypes in a use case from an internal Orange project, in a laboratory or at a large scale (testbed GRID5000/SLICES-FR).The work should lead to publications, and possibly patents, in the fields of network management, digital twins, AI, distributed systems, and cloud computing.about youSkills (scientific and technical) and personal qualities required for the positionThe required skills are those expected at a master’s level/engineering school in computer science. Significant experience in one or more of the following areas would be greatly appreciated:Networks: network management (provisioning/configuration, monitoring, security…), virtual networksVirtualization : docker, kubernetesArtificial intelligence: machine learning, semantic webNoSQL databases/graph databasesDistributed systemsFor the implementation of the designed algorithms and their validation through simulations, programming skills are absolutely necessary. The candidate must demonstrate curiosity and autonomy. They must have a good command of English (written and spoken).Required education (master’s degree, engineering degree, PhD, scientific and technical field…)Master’s degree or engineering degree in computer scienceDesired experience (internships, projects…)The completion of projects and/or internships related to the above-mentioned skills will be highly valued.additional informationWhat makes this offer valuable?– You will be part of a multidisciplinary team and benefit from their expertise– You will work on a unifying research project that highlights collaborations with various Orange entities, industrial and academic partners, where your analytical abilities and creativity will be stimulated.– Your work can be highlighted in Orange’s next generation networksReferences
[1] Hall, Matthew Nance, et al. “A survey of reconfigurable optical networks.” Optical Switching and Networking (2021).[2] « Un jumeau numérique du réseau de transport optique », Orange Open Tech Days, 2023[3] Mayer, Kayol S., et al. “Demonstration of ML-assisted soft-failure localization based on network digital twins.” Journal of Lightwave Technology (2022).[4] Massri, Maria, et al. “Clock-G: A temporal graph management system with space-efficient storage technique.” 2022 IEEE 38th International Conference on Data Engineering (ICDE).[5] Mahoro, Dan Freeman, et al. “Articulating Data and Control Planes for the Composition and Synchronization of Digital Twins.”1st International Workshop on Middleware for Digital Twin. 2023.[6] Massri, Maria, et al. “RTGEN++: A relative temporal graph generator.” Future Generation Computer Systems (2023).[7] Ngo, Duc-Thinh, et al. “Empowering digital twin for future networks with graph neural networks: Overview, enabling technologies, challenges, and opportunities.” Future internet (2023).departmentOrange Innovation brings together the research and innovation activities and expertise of the Group’s entities and countries. We work every day to ensure that Orange is recognized as an innovative operator by its customers and we create value for the Group and the Brand in each of our projects. With 720 researchers, thousands of marketers, developers, designers and data analysts, it is the expertise of our 6,000 employees that fuels this ambition every day.Orange Innovation anticipates technological breakthroughs and supports the Group’s countries and entities in making the best technological choices to meet the needs of our consumer and business customers.Within Innovation, you will be integrated into a cutting-edge research team specializing in the innovation and expertise of future Cloud infrastructures, particularly digital twins. This team is highly active within the innovation ecosystem, notably through a mixed research team (INRIA). The team also collaborates with other partners (academic or industrial) through national collaborative projects (ANR, European projects).contractThesis

Expected salary

Location

Cesson-Sévigné, Ille-et-Vilaine

Job date

Wed, 02 Apr 2025 22:55:31 GMT

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