PhD "Mobile Signal Data Analysis for Urban Logistics Planning" F/M
ref :2025-43344 | 25 Mar 2025
apply before : 30 Sep 2025
- 1 Rue Maurice et Louis de Broglie, 90000 BELFORT - France
about the role
Your role is to conduct PhD thesis on Mobile Signal Data Analysis for Urban Logistics Planning.
Global Context and Problem Statement
The transport sector is the primary contributor to greenhouse gas emissions, which are responsible for global warming. Urban planning plays a crucial role in reducing these emissions, especially with the increasing urban population, expected to reach two-thirds of the global population by 2050. Concepts like the "15-minute city" require effective urban planning to reduce motorized travel and ensure quick access to essential services. However, available data on population and goods mobility remain fragmented and heterogeneous, limiting the understanding of complex interactions between mobility and urban infrastructure.
Telecommunication networks offer significant potential for producing mobility statistics due to the explosion of location data generated by smartphones and other connected devices. For example, services like Orange's Flux Vision use mobile signal metadata to create observatories of human mobility.
Scientific Objective – Results and Challenges to Overcome
The objective of the PhD thesis is to design an urban logistics observatory by leveraging mobile signal data. This involves understanding and formalizing indicators useful for urban planning, developing and validating a production chain for indicators derived from mobile signal data, and designing an urban logistics observatory that integrates data from various stakeholders.
Expected results include defining the needs to drive urban transformation, improving algorithms for classifying mobility behaviors, and designing a framework for data normalization and fusion. Challenges to overcome include enhancing the spatio-temporal resolution of data, validating the statistical representativeness of indicators, and integrating various data sources into a scalable and replicable global observatory. This will involve implementing generative AI technologies and simulation approaches while respecting intrusiveness, energy sobriety, and privacy concerns.
about you
Skills
Data Science: Applied mathematics, deep learning techniques, deep generative models
Tools: Python, pandas, numpy, scikit-learn, tensorflow, pytorch, geopandas
Desired: Geolocation and mobility modeling
Language: English C1, French C1
Required Education
Engineering schools specializing in Networks/Telecom with a focus on Data Science and AI
Research Master's degree in the field
Desired Experience
Completed an internship, student mini-projects, or a final thesis in a field related to the thesis topic
Proven experience in development within the context of data science, deep learning, or generative AI
Soft Skills
Creative, innovative, with good interpersonal skills and a strong motivation for research
Autonomous and capable of organizing work to meet objectives
additional information
You have the unique opportunity to leverage mobile signal data to transform urban planning. By utilizing data analysis and artificial intelligence skills, you will contribute to addressing the challenges of climate change. Mobile signal data provides a comprehensive view of human activities and goods flows, enabling the construction of large-scale observatories.
This thesis stands out for its innovative nature, producing new knowledge on urban mobility. It includes an innovative valorization of operator data and technologies from data science and AI, delivering a powerful tool for knowledge production. This will provide operational, cross-cutting, and scalable solutions. These innovations can be integrated into the 'Orange Flux Vision' product range to impact both the private and public sectors, offering actionable information to society as a whole.
Participation in collaborative projects involving various stakeholders, expertise, and use cases (sustainable tourism, zero-emission transport, pollution measurement, etc.) will enrich your experience and generate employment opportunities post-thesis. This collaborative ecosystem will allow for the sharing of knowledge and innovations from the thesis, contributing to a lasting and significant impact on urban planning and logistics.
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.
At our Belfort offices, you will join a cutting-edge research team specializing in big data, data science, and privacy protection. These skills are applied to valorizing network data for mobility actors. The engineers and researchers in this team study, design, and develop advancements for Orange Flux Vision offerings. For more information, visit https://www.orange-business.com/en/products/flux-vision.
contract
Thesis
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