Orange
Job title:
PhD “Collaborative and Adaptive AIs for Predictive Inspection of Network Infrastructure” M/F
Company:
Orange
Job description
about the roleYour role will be to conduct a PhD thesis on: “Collaborative and Adaptive AIs for Predictive Inspection of Network Infrastructures”
- Global Context and Problem Statement
The monitoring and maintenance of network infrastructures currently face several major challenges: high intervention costs, lengthy inspection times, subjectivity in evaluations, and insufficient inspection frequency. In this context, automating the inspection process represents a key strategic challenge for operators like Orange, as well as for other players such as EDF and Enedis. Resource optimization, reduction of operational costs, and improvement in inspection accuracy are at the heart of this issue.
- Scientific Objective – Expected Results and Challenges to Address
The objective of this PhD thesis is to design a network infrastructure inspection system based on collaborative AIs, leveraging adaptive embedded multi-vector (drones, vehicles) and multimodal (IMU, visible, GPS, Lidar) fusion. Key scientific challenges to address include:1. Preparing an annotated dataset,2. Upstream geometric fusion: developing methods to efficiently associate data from heterogeneous sensors while considering the context (GPS position, weather, vector speed, etc.),3. Adaptive multimodal fusion: designing dynamic fusion techniques capable of adapting to changing environmental conditions,4. Creating models that combine the segmentation of defective infrastructures with the assessment of their severity level and the prioritization of interventions.The proposed approaches include the use of recurrent neural networks for temporal fusion, the development of multi-sensor auto-calibration algorithms, and the design of neural networks for geometric transformation estimation. Expected outcomes include validated demonstrators in real-world environments and patent filingsabout you
- Required Skills (Scientific and Technical) and Personal Qualities
Expertise in AI and computer vision,Proficiency in programming languages such as Python and C++,Driven by constant curiosity,Proactive and able to propose innovative ideas,Strong interpersonal skills to collaborate with international teams, cross-functional groups, and domain experts,Ability to take initiative and demonstrate analytical and synthesis skills,Capable of working independently,Comfortable with both oral and written communication.
- Required Education
Engineer or master’s degree in computer science.
- Desired Experience
Final-year internship or relevant projects in computer vision.additional informationThis PhD thesis, at the intersection of artificial intelligence and computer vision, offers the opportunity to fully integrate into a young and dynamic research team. You will tackle real-world challenges in automated infrastructure inspection, with the unique chance to see your innovations deployed in the field. This experience will allow you to gain advanced expertise in cutting-edge fields: embedded AI, computer vision, multimodal data fusion, and edge computing. You will develop highly sought-after technical skills while exploring applied research within a major corporation.You will benefit from a stimulating environment combining the academic excellence of the MIAI Edge Intelligence chair and Orange’s industrial expertise. Access to real-world testing platforms will enable you to work on concrete use cases alongside recognized experts in the field.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.You will join a cutting-edge research team specializing in computer vision in constrained environments (limited resources, low consumption) and Edge Computing and IoT technologies. You will be part of a research ecosystem working alongside engineers focused on shorter-term studies, enabling the concrete implementation of the studied concepts, and benefiting from testing and simulation platforms for the development of frugal vision algorithms.contractThesis
Expected salary
Location
Meylan, Isère
Job date
Thu, 13 Mar 2025 23:32:05 GMT
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