INTERNSHIP - Conception of a fusion and visualization platform...

"Fiber sensing" is a technology that transforms an optical fiber cable into a giant linear sensor, capable of accurately detecting and locating variations in temperature, pressure, or vibrations along its entire length.

As part of our activities in this technology, we conduct field experiments to then analyze the collected data and develop artificial intelligence algorithms and models for detecting, identifying, and locating events near the cables. During these experiments, we collect fiber sensing data, particularly from DAS (Distributed Acoustic Sensing), as well as metadata from the environment, in the context of terrestrial or submarine cables.

This metadata describes the environment and the events occurring near the cable, which facilitates the analysis of DAS data and the development of AI algorithms and models.

The metadata can be entered manually, come from other sensors (wind, temperature, ...), or from video captures with 360° cameras, photos, sound recordings with microphones/hydrophones, GPS tracks, etc.

This represents large volumes of heterogeneous data that must be capable of being used and cross-referenced effectively to analyze and understand fiber sensing measurements.

The goal of the internship is to implement a complete architecture, enabling the transition from raw data to its visualization.

This work involves defining APIs to populate a database intended for storing and merging all metadata related to an experiment.

A dynamic HMI will be developed to serve as an analysis and exploration platform for the experiment.

A major challenge will be to process the spatio-temporal dimension of the data to enable experiment replay: the user will thus be able to synchronize temporal progression with geographical positions and detected events.

The intern will need to mobilize or enhance their skills during the internship in Backend & Data development (Implementation of Python to design ingestion APIs (FastAPI, Flask...) and organization of heterogeneous data within databases (SQL or NoSQL)), in Frontend & Visualization development (design of an interactive and dynamic HMI allowing the display of complex data and interaction with external tools), in cartography and Geomatics (Spatial representation of linear infrastructures), and in temporal data management (Processing, correlation, and synchronization of multi-source data streams).

Engineering school student (Master's degree level)

Experience in development (Databases, HMI, APIs)

Knowledge in data management, including audiovisual data

Knowledge of cartography would be a plus.

Personal qualities: Curious, proactive, autonomous but with good teamwork skills, good communication

Work with data from a high-potential technology

Design and develop a tool from A to Z that will be used by the project team

Be integrated into a multidisciplinary research and development team

The gross monthly internship allowance proposed is between 682.52 and 1680.32 euros depending on your current level of study. In addition, there is access to the Social and Cultural Activities offered by your Social and Economic Committee, subsidized access to the company restaurant or meal vouchers, as well as 50% coverage of your public transport pass.

Orange Innovation's mission is to efficiently produce innovations that generate business for the Group through research, anticipation, and delivery.

The Home Services division aims to make Orange the reference operator in its various mass-market and professional broadband markets for connectivity, television, entertainment, and home multiservice by building high-performance solutions that directly contribute to the Group's CSR and security challenges.

Within this organization, the NUX team's mission is to provide solutions for capturing and understanding the environment, and to invent and offer users new multisensory interaction methods with the cyber-physical world, in order to improve customer experience quality or network and infrastructure operations.

You will be integrated into this research team whose expertise lies in data capture, embedded and distributed machine learning, as well as human/machine interaction and dialogue. You will work alongside researchers, data scientists, data analysts, software engineers, and project managers, enabling the concrete implementation of the studied concepts.

Skills