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  • Alexandre

Offre de postdoc sur la modélisation physique de la recherche de stationnement

Lieu : Institut Lumière Matière in Villeurbanne, CNRS and Univ. Lyon 1, près de Lyon (France)

Mots-clefs: recherche de stationnement; modélisation d'agents; physique statistique; processus stochastiques; navigation intelligente

Nous sommes à la recherche d'un(e) postdoctorant(t) spécialisé(e) en physique statistique ou numérique ou en science des données pour un contrat postdoctoral de 17 mois sur la modélisation de la recherche de stationnement. La personne recrutée sera basée à l'Institut Lumière Matière à Villeurbanne, aux portes de Lyon, mais travaillera en collaboration avec un opérateur de trasnport dans une métropole française et avec le Laboratoire 3SR à Grenoble.

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 [1]), 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 the theoretical tools to the case of the metropolis in study, 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

Required skills:

* 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 would be an asset

To apply, please send a CV (including the contact details of three reference people) along with a cover letter to alexandre.nicolas[at] and mehdi.bouzid[at]

(informal enquiries are welcome!)


[1] Shoup, D. C. (2006). Cruising for parking. Transport policy, 13(6), 479-486.

[2] Dutta, N., Charlottin, T., & Nicolas, A. (2023). Parking search in the physical world: Calculating the search time by leveraging physical and graph theoretical methods. Transportation science.

[3] Bulckaen, L., Dutta, N., & Nicolas, A. (2022, September). Parking search in urban street networks: Taming down the complexity of the search-time problem via a coarse-graining approach. In International Conference on Parallel Processing and Applied Mathematics (pp. 470-480). Cham: Springer International Publishing.

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