Ingénieur d'études
Outline • Level of qualifications required: Master degree in data science, statistics, mathematics, civil engineering, mechanical engineering and preferably experience in transportation. • Starting date: September 2024 (expected) • Duration of contract: 12 months • Deadline to apply: applications will be reviewed until the position is filled • Main location: Lyon, France (LICIT-Eco7, UNIVERSITÉ GUSTAVE EIFFEL/ENTPE) • Project team: o Pierre-Antoine Laharotte (Dr.), LICIT-Eco7, Univ. Eiffel, ENTPE, Univ. Lyon, F-69675, LYON o Silvia Varotto (Dr.), LICIT-Eco7, ENTPE, Univ. Eiffel, Univ. Lyon, F-69675, LYON o Nour-Eddin EL FAOUZI (Pr.), LICIT-Eco7, Univ. Eiffel, ENTPE, Univ. Lyon, F-69675, LYON Highlight If you are interested in the following topics, do not hesitate to apply: • Modelling, calibrating, and simulating the (perception-)decision-action of an autonomous vehicle based on empirical data; • Contributing to the design of simulation-based experimentations and post-processing analysis of road safety indicators to point out the response of an autonomous shuttle in various scenarios (lane closure due to road works, on-ramp merge, etc.). Please note that we’ll only consider and reply to applications in alignment with the proposed topic and the expected skills. Context We are looking for an enthusiastic research engineer to conduct and perform research in the context of the project Mob Auto2, funded by BPI France for 3 years starting in June 2023. The project aims to enable an autonomous shuttle to ensure public transport services 3 stops along the A10 freeway (France) between Massy's train station and a multimodal hub in Longvilliers. The shuttle has to drive autonomously on the right lane of the A10 freeway with a maximal speed of 90 km/h. The shuttle is supposed to interact with other vehicles safely. The project is split into 6 work packages. The current position is related to task 1.4, which focuses on a priori safety evaluation of the shuttle's impact on traffic operations. The final purpose of this task is: • To analyse safety Key Performance Indicators (KPI) such as Time-to-Collision (TTC), PostEncroachment Time (PET), etc; • To draw a comprehensive comparison between reference scenarios (without autonomous shuttles) and scenarios involving the autonomous shuttle.
Type de poste
Technique / ingénieur(e)s
Localisation
Campus de Lyon
Missions principales
Main activities
The research engineer will have the opportunity to work on the following tasks:
• Development of a digital twin of the A10 freeway (i.e., network description in XML file) and development of a microscopic simulation using SUMO, for instance o Import and conversion into an XML file of the network description of the A10 freeway to feed the microscopic simulator with a realistic road network; o Calibration of the microscopic simulator and other vehicles’ behavior (e.g., carfollowing) thanks to loop detector data (when available).
• Development of a data-driven model reproducing the (perception-)decision-action logic of an autonomous shuttle based on previous studies in the literature and/or the data provided by our project’s partner (MILLA) who owns the shuttle. For this task, we expect to apply datadriven approaches and might consider the development of driving behaviours based on strategies resulting from Imitation Learning, for instance.
• Design of the use cases in the microscopic simulation o Identify the parts of the road network to evaluate (i.e., the entire network covered by the shuttle service or specific hazardous locations); o Define the main factors under investigation (e.g., O-D demand and road blockages).
• Development of post-processing codes to generate materials (e.g., figures and data frames) and to assess traffic safety performance o Select safety KPI such as Time-to-Collision, Post-Encroachment-Time, etc; o Generate post-processing codes to implement the KPIs; o Analyse the outputs.
• Writing contribution to the deliverables.
Collaboration opportunities
The research engineer will closely interact with members of the LICIT-Eco7, the French Department of Transportation, and the collaborators within the MOBAUTO2 project, like MILLA, who built the autonomous shuttle.
Starting date: September 2024 (expected)
Duration of contract: 12 months
The wage is set according to the civil servant grid, which takes into consideration the work experience as follows:
2,100-2,900€ (gross monthly salary, depending on years of work experience)
Required documents
• A curriculum vitae;
• The complete record of master grades (academic scores for French applicants);
• The master or PhD thesis manuscript;
• A short (2-page max) motivation letter discussing how the candidate’s background and research interest relate to the proposed subject and bibliographic references.
Compétences attendues
We seek strongly motivated candidates with a solid background in Computer Science (Reinforcement Learning, Imitation Learning, etc), Artificial Intelligence, Data Science, statistics, mathematics, civil engineering, and mechanical engineering.
Experience in the domain of transportation is preferable.
Good programming and data-driven modelling skills are prerequisites.
Experience with the following tools is desirable: SUMO / SymuVia (microscopic traffic simulator developed by the LICITEco7 Lab) and CARLA.
Programming skills with Python are desired.
Proven written and verbal communication skills in English are required.
Famille professionnelle
About us, the LICIT-Eco7 Lab- Université Gustave Eiffel & ENTPE
The Transport and Traffic Engineering Laboratory (LICIT) is a Joint Research Unit under the dual administrative supervision of the UNIVERSITÉ GUSTAVE EIFFEL and the National Post-Graduate School of Public Works (ENTPE). It is recognized for its work in traffic modelling and engineering. The laboratory has already developed many successful applications for traffic information and simulation tools (e.g. SymuVia).
The UNIVERSITÉ GUSTAVE EIFFEL is a state-financed scientific and technological institute under the supervision of the Ministry of Research and the Ministry of Transportation. The Institute's activities include various fields as acoustics, mechanics, mathematics, computer science, electronics and electrotechnical sciences. The diversity of the approach used to carry out the different research programs gives a multidisciplinary characteristic to the UNIVERSITÉ GUSTAVE EIFFEL research teams.
The UNIVERSITÉ GUSTAVE EIFFEL research program covers many aspects of work involved within this project including driving aids, information, assistance and automation; transport networks and services; sustainability, environment and road safety. UNIVERSITÉ GUSTAVE EIFFEL has been and still is heavily involved in various projects, especially European Commission-supported research like the INTRO project. UNIVERSITÉ GUSTAVE EIFFEL’s experience will be used to assist in achieving the aims of this project.
Catégorie
A
Affectation
LICIT-Eco7, UNIVERSITÉ GUSTAVE EIFFEL/ENTPE
Mission d’encadrement
non
Conduite de projet
oui
Nombre de postes à pourvoir
1
Personnes à contacter :
• Dr Pierre-Antoine LAHAROTTE – pierre-antoine.laharotte@univ-eiffel.fr
• Dr Silvia VAROTTO - SilviaFrancesca.VAROTTO@entpe.fr
• Prof. Nour-Eddin EL FAOUZI – nour-eddin.elfaouzi@univ-eiffel.fr