Business Development Manager Eurofins Discovery France

Eurofins; Celle-Lévescault; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

An established industry player is seeking a passionate PhD candidate to develop innovative data analysis and visualization tools aimed at enhancing the quality of life in the Nouvelle-Aquitaine region. This role involves working with diverse data sources to model and analyze citizens' activities, providing insights that will assist local decision-makers in understanding and improving their community. The project emphasizes eco-responsibility and aims to create a comprehensive Data Lake for effective data management. If you are excited about leveraging technology for social good and have a strong background in computer science, this opportunity is perfect for you.

Qualifications

• Propose data analysis and visualization tools for local decision-makers.
• Draw semantic trajectories representing citizens' activities over time.

Responsabilités

• Analyze massive and heterogeneous data to improve quality of life.
• Model semantic trajectories and define indicators for data analysis.

Connaissances

Data Analysis

Data Visualization

Semantic Modeling

Forecasting

Formation

PhD in Computer Science

Outils

Data Lake

Open Data

Description du poste

Description de poste

Topic description

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 , there will be 30, dependent Landais men and women, compared with 17, in . 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, above all, 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. Cécile Cayèré, Christian Sallaberry, Cyril Faucher, Marie-Noëlle Bessagnet, Philippe Roose, Maxime Masson, Jérémy Richard : Multi-Level and Multiple Aspect Semantic Trajectory Model : Application to the Tourism Domain. ISPRS Int. J. Geo Inf. 10 :
3. Matthieu Viry, Marlène Villanova-Oliver : Geovisualisation Generation from Semantic Models : A State of the Art. W2GIS : -

Starting date: 11-01

Funding category: Public / private mixed funding

Funding further details: Projet Région Nouvelle Aquitaine