Intitulé de l'offre : Postdoctoral opening (M/F) on the modelling of parking search using Statistical Physics (H/F)
Référence : UMR5306-ALENIC-003
Nombre de Postes : 1
Lieu de travail : VILLEURBANNE
Date de publication : lundi 5 février 2024
Type de contrat : CDD Scientifique
Durée du contrat : 16 mois
Date d'embauche prévue : 4 mars 2024
Quotité de travail : Temps complet
Rémunération : Between 2934€ et 3364€ monthly (gross pay), depending on experience
Niveau d'études souhaité : Niveau 8 - (Doctorat)
Expérience souhaitée : 1 à 4 années
Section(s) CN : Science and Data
Context. The cruising traffic in search of a parking space represents a significant fraction of the urban traffic (figures up to 30% have been put forward ), contributing to congestion and pollution in city centres. To alleviate these pains, smart parking solutions have been proposed; in particular, our transport operator partner has recently released a smart navigation application that can guide motorists towards parking spaces that are likely to be vacant, with the hope to reduce cruising.
In parallel, the host team has recently developed an original modelling framework to assess the parking search time, which leverages the powerful machinery of Statistical Physics and Graph Theory [2-3].
Missions. The aim is to exploit these theoretical tools by applying to the case of the metropolis under study and to further develop them. Thus, the project combines a fundamental part (namely, developing and extending a modelling framework, building on analogies with other physical systems) and an applied facet (improving the smart application and designing a rigorous tool to evaluate the environmental impact of parking policies and smart solutions).
More precisely, the following steps are considered:
* applying and adapting the modelling framework to the specific case of the metropolis
* proposing theory-guided and/or data-driven improvements to the smart navigation application
* developing an objective toolbox to assess the environmental impact of parking policies
* (recent) PhD in Statistical or Computational Physics, Applied Mathematics, Traffic Engineering, or a closely related field
* Strong background in Statistical Physics and/or stochastic processes on graphs
* Expertise in numerical programming and / or big data manipulation
* Proficiency in French, though not strictly required, would be an asset
Contexte de travail
The postdoctoral fellow will be based in Villeurbanne, near Lyon, and will work in collaboration with the main transport operator of a French metropolis and with Laboratoire 3SR in Grenoble.