Post-Doctoral Research Visit In Data Sciences And Applied Statistical Learning. Multi-Source Data...

Universities and Institutes of France
December 24, 2022
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Temporary
Working Time:Full time
Working type:N/A
Job Ref.:N/A
  • Organisation/Company: Université Gustave Eiffel
  • Research Field: Computer science › Database management Computer science › Informatics
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 24/12/2022 00:00 - Europe/Athens
  • Location: France › Champs-sur-Marne
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Offer Starting Date: 02/01/2023
  • This research fellow position is funded by the ANR PRCE MobiTiC project (https: // The post-doctoral position is offered within a research team working on statistical learning for mining complex urban data for 24 months. Several partners are involved in the project: two research laboratories of Université Gustave Eiffel (Grettia- Coordinator and Licit), the SENSE laboratory of Orange Labs, the SSP lab of Insee. MobiTic's methodology shall produce novel models, analyses and indicators of presence and mobility that are relevant, reliable, compliant with privacy rules, representative and frequently updated. These indicators shall be produced by combining both mobile phone network signaling and other digital and traditional data sources (smart card data, surveys, GPS data, Census data, etc.). Digital data open up fundamental perspectives for the dynamic analysis of territories, at finer levels of geographical and temporal accuracy, and may provide actors with the potential to manage their resources more efficiently, which is a requirement for sustainable development of the territories. The project will draw upon the disciplinary fields of statistics, machine learning, and data analysis. In recent years, there has been a great deal of research work dedicated to the use of digital data for mobility analysis. A large majority of these research studies focus on the use of a single data source and a single mode of transport. In this respect, we can cite the work carried out by researchers from Université Gustave Eiffel involved in the MobiTic project on the use of smart card data to analyze the use of shared mobility systems 1, or public transport systems 2 3, the use of Bluetooth data for road traffic analysis 4 or the use of mobile phone data to understand urban dynamics and analyze road transport networks and their resilience 5, 6, 7. The MobiTIC project aims to combine several data sources for the analysis of human presence and mobility.

    Offer Requirements Specific Requirements

    Candidates for the post-doctoral position should already have obtained a Ph.D. in computer sciences, statistics or transport civil engineering. Other requirements are needed. Strong motivation to work in an interdisciplinary project with applicative issues will be appreciated, in particular for human mobility and transport application domain.

    Contact Information
  • Organisation/Company: Université Gustave Eiffel
  • Organisation Type: Other
  • Website: https: // www.
  • Country: France
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