Collaborateur Comptable Confirmé

MAISON LESTAPIS; Saint-Brieuc; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Une entreprise innovante dans le Sud-Ouest de la France recherche un doctorant en informatique pour développer des outils d'analyse et de visualisation des données. Ce projet vise à améliorer la qualité de vie des citoyens en analysant des données massives concernant l'habitat, la mobilité et les services. En collaborant avec des partenaires locaux, vous aurez l'opportunité de modéliser des trajectoires sémantiques et de présenter des résultats d'analyse à un public non spécialiste. Si vous êtes passionné par l'informatique et souhaitez contribuer à des projets ayant un impact social significatif, cette opportunité est faite pour vous.

Qualifications

• Proposer des outils d'analyse et de visualisation des données.
• Modéliser des trajectoires sémantiques pour la collecte et l'intégration des données.

Responsabilités

• Aider les décideurs locaux à comprendre l'évolution du territoire.
• Analyser des données massives et hétérogènes pour des recommandations.

Connaissances

Analyse de données

Visualisation de données

Modélisation sémantique

Compétences en informatique

Formation

Doctorat en Informatique

Outils

Data Lake

Open Data

Description du poste

In South-West of France between Biarritz and Bordeaux, living well and ageing well in the territory represents a challenge recognized by the Landes departmental council, the MACS community of communes and the Syndicat Mixte de St Geours de Maremne, which is responsible for the development and management of the Atlantisud development park. It is estimated that by 2025, there will be 30,000 dependent Landais men and women, compared with 17,000 in 2020. With this in mind, our project aims to help improve the quality of life through digitalization. It will apply to the field of living well and ageing well in the Landes region. The living environment can range from businesses for working people to housing, mobility, services, leisure activities, and so on. The main idea is to make multi-source, massive, and heterogeneous data from partners talk to each other, in order to analyze them and to highlight shortcomings and recommendations for better living in the region. These partners include, for example, the Département des Landes for Habitat, mobility and travel data, or the social landlord XL Habitat, Hubics for building data, all of this complemented by Open Data. The data will be ingested, stored, and analyzed in an eco-responsible Data Lake currently being set up. The main challenges lie in (i) modeling semantic trajectories of living well and ageing well for data collection and integration, (ii) defining corresponding indicators for data analysis, and (iii) designing visuals adapted to presenting analysis results to a non-specialist audience.

PhD Objective

The aim of this Computer Science PhD thesis is to propose data analysis and visualization tools to help local decision-makers understand the evolution of the territory. On the basis of the massive and heterogeneous data collected, the aim is to draw semantic trajectories representing citizens' activities (travel, access to tourist and health areas, housing, shopping, etc.), including changes over time, with forecasts for the future.

Literature References

1. Maxime Masson, Philippe Roose, Christian Sallaberry, Rodrigo Agerri, Marie-Noëlle Bessagnet, Annig Le Parc-Lacayrelle: APs: A Proxemic Framework for Social Media Interactions Modeling and Analysis. IDA: -
2. Matthieu Viry, Marlène Villanova-Oliver: Geovisualisation Generation from Semantic Models: A State of the Art. W2GIS: -