PostDoc - Data Modeling and Synchronization for the implementation of digital twins and simulation
ref :2025-44652 | 14 May 2025
apply before : 30 Sep 2025
- 4 Rue du Clos Courtel, 35510 CESSON SEVIGNE - France
about the role
You will carry out a post PhD research project on data modeling and synchronization for the implementation of digital twins and simulation support, within a dynamic team at the heart of a partnership between Orange Research and Inria, as part of a major national initiative: 5GMetaverse4Industry, funded by BPI France. This ambitious project aims to explore and adapt 5G technologies to meet the specific demands of the industrial metaverse: low latency, high throughput, high-quality immersion, and seamless user experience.
At the intersection of networks, cloud, edge computing, and IoT, this postdoctoral work is part of a broader research effort on the intelligent management of the Cloud–Edge–IoT continuum, where complex and distributed services must operate efficiently. In this context, digital twins are essential building blocks for simulating, controlling, and optimizing cyber-physical environments in real time [1,2].
One of the key challenges? Ensuring smooth synchronization between the physical world and its digital counterpart, under strong constraints related to location, network conditions, and performance. The closer a digital twin is to its physical source (in network terms), the better the system's responsiveness and fidelity. To investigate these challenges, you will leverage the Thing’in research platform, developed by Orange.
Scientific Objectives of the Post PhD:
Model the interactions and synchronization flows between physical objects and their digital twins, within a geo-distributed architecture.
Define methodological approaches to characterize different synchronization strategies, taking into account the topology of the Cloud2IoT continuum.
Design dynamic synchronization policies and mechanisms, capable of adapting to network constraints, application needs, and real-world conditions [1].
Expected Outcomes:
Clear specification of synchronization policies within the Cloud2IoT continuum.
Implementation of concrete prototypes on the Thing’in platform.
Design and implementation of a use case involving an industrial digital twin, to be defined in collaboration with the partners of the 5GMetaverse4Industry project.
References
[1] 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.
[2] Massri, Maria, et al. "RTGEN++: A relative temporal graph generator." Future Generation Computer Systems (2023).
about you
Required Scientific and Technical Skills, and Personal Qualities
You have strong scientific and technical skills in the fields of modeling and distributed systems.
You have solid programming experience.
You have a good understanding of computer systems, with a particular focus on distributed systems.
You have a keen interest in applied research.
You are motivated, autonomous, and proactive.
You enjoy working as part of a team.
You are proficient in both French and English (reading and writing).
Required Education (Master’s degree, engineering diploma, PhD, relevant scientific and technical fields)
You hold a PhD in Computer Science.
Preferred Experience (internships, research projects, etc.)
You have published research in your area of expertise.
You have demonstrated the ability to learn and adapt to new technologies.
additional information
This post PhD position focuses on the management of geo-distributed — and even massively geo-distributed — infrastructures, in response to the growing complexity of services related to the Internet of Things (IoT) and, more broadly, the management of cyber-physical systems. These systems lie at the intersection of several cutting-edge technologies such as Augmented, Virtual, and Mixed Reality (AR/VR/MR), Edge Computing, Artificial Intelligence (AI), IoT, and Digital Twins. Cyber-physical environments are also closely linked to another high-profile domain: the metaverse.
More specifically, this postdoc will contribute to the collaborative project 5GMetaverse4Industry, funded by BPI France. The ambition of this project is to develop and validate a new approach to remote collaborative work and teleoperation in industrial settings, based on a novel integration of digital twins and mixed reality, powered by 5G technologies. As part of the project, 5G and mixed reality technologies will be enhanced and tailored to enable the deployment of two representative industrial use cases.
You will join a dynamic and experienced team specializing in knowledge base management and data storage, which is actively developing Thing’in, Orange’s digital twin platform. The team also explores the integration of AI techniques for digital twins, offering a rich and innovative research environment.
department
Orange 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 join a research team at the forefront of innovation and expertise in Digital Twins. More specifically, you will work closely with the team members developing the Thing’in the future research platform. This platform provides key functionalities for building digital twins.
contract
Post Doc
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