Basé sur 37 offres pour ce poste (tous niveaux, France, 3 dernières semaines). Fourchette habituelle 41k€–50k€, médiane 45k€. Cette offre (33k€) est sous la fourchette.
Salaire du marché pour Mobile en France : médiane 45 000 €/an, P25–P75 : 41 400–50 000 €/an, n = 37 offres. Salaire Python à Lyon
Baromètre TJM et salaires ITA propos du centre ou de la direction fonctionnelle
The Inria research centre in Lyon is the 9th Inria research centre, formally created in January 2022. It brings together approximately 300 people in 17 research teams and research support services.
Its staff are distributed in Villeurbanne, Lyon Gerland, and Saint-Etienne.
The Lyon centre is active in the fields of software, distributed and high-performance computing, embedded systems, quantum computing and privacy in the digital world, but also in digital health and computational biology.
Contexte et atouts du poste
A post-doctoral fellowship is available in the Inria Agora team in the Lyon center. The post-doctoral fellow will collaborate with Dr. Razvan Stanica ( http://perso.citi.insa-lyon.fr/rstanica/ ) from the Inria Agora team and with a multidisciplinary team of researchers in computer science, transportation, and geography. This position is funded in the context of the National French PEPR projects on "Natural Risks" and "Mobility Digitalization".
Inria Agora is a joint team with INSA Lyon, one of the most prestigious engineering schools in France. Teaching involvement and student supervision are possible (but not mandatory) at INSA Lyon.
Mission confiée
The recruited person will conduct research on the topic of mobile data analysis. This is data collected by mobile network operators, covering large areas and populations, with numerous possible application, such as energy-efficient network resource allocation (e.g., 5G/6G), epidemic propagation, transportartion system design, user recommendation systems, urban planning in smart cities, or ride-sharing.
The researcher will work on uniquely-rich datasets collected by French mobile operators, with a focus on atypical situations, such as holidays, harsh weather conditions, natural disasters, major social and cultural events. The objective is to understand the behaviour of mobile network users, in terms of mobility and service demand, during such atypical events, find spatio-temporal patterns and compare this with the behaviour observed in normal conditions.
Principales activités
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