“Chaire AI ANR – MASSALIA”
Basic salary: 1956€ /month; can evolve according to professional experience
Context: This research is carried out under the MASSAL'IA chair in artificial intelligence. This chair, headed by Prof. Chu Min Li, brings together several teacher-researchers from the COALA and MOFED teams of the LIS UMR 7020 laboratory. ENEDIS industrialists also will take part in it.
The MASSAL'IA chair has three scientific components: (1) the representation of incomplete data and the prediction of road traffic by Bayesian networks; (2) the modelling and simulation of road traffic; and (3) the optimization of electrical charging station installations by Max-SAT.
Goals: The main goal is to develop a simulation model of road traffic on electrical vehicles in order to validate the chosen solutions for the installation of electric terminals. This model will be essentially based on discrete event modelling and simulation techniques. For its simplicity, its modularity and its expressive power to describe dynamic systems, the DEVS (Discrete Event System specification) formalism is privileged, thus offering an ideal framework for modelling and simulating such a traffic.
However, two major difficulties emerge following this modelling: (1) the introduction of incomplete data to the simulation causing a major obstacle to its execution and to the validation of the obtained results; and (2) the definition of metrics for the evaluation of the executed simulations and consequently the choices of installation of electrical terminals.
Obviously, the simulation model to be developed must be extensible and open to modifications that may occur later (experimenting with new travel behaviours, taking into account the weather, etc.)
(1) Conducting a study on the state of the art of the discrete event modelling and simulation on the road traffic.
(2) Developing a library of components allowing the description and evaluation of the road traffic.
(3) Coupling the constructed library with other ones and tools useful for developing the simulation model.
(4) Designing the simulation model, presenting and formatting the results.
QUALIFICATIONS/SKILLS/EDUCATION & RESEARCH REQUIREMENTS
Applicant profile: holds a PhD in computer science
Independence, rigour and teamwork
1st June 2021
LIS UMR CNRS 7020 – Campus universitaire de Saint-Jérôme
Av. Escadrille Normandie Niemen -13397 Marseille Cedex 20
REQUESTED DOCUMENTS OF APPLICATION
1- detailed curriculum vitae, and
2- motivation letter.
CONTACT TO APPLYApprenez-en davantage
|Intitulé||One-year Postdoc position in Developing of a Simulation Model of the Traffic on Electrical Vehicles|
|Job location||Jardin du Pharo 58, bd Charles Livon, 13284 Marseille|
|Publié||avril 29, 2021|
|Date limite d'inscription||Non Spécifiée|
|Types d'emploi||Post doc  |
|Domaines de recherche :||Intelligence artificielle,   Informatique dans les mathématiques, les sciences naturelles, l'ingénierie et la médecine,   Génie électrique,   Sciences informatiques,   Électronique  |