23 May 2023
Job InformationOrganisation/Company
Université Gustave Eiffel
Department
COSYS
Research Field
Engineering » Simulation engineering
Engineering » Civil engineering
Computer science » Modelling tools
Mathematics » Applied mathematics
Researcher Profile
First Stage Researcher (R1)
Country
France
Application Deadline
30 Oct 2023 - 12:00 (Europe/Paris)
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
38
Offer Starting Date
1 Sep 2023
Is the job funded through the EU Research Framework Programme?
HE
Reference Number
101103808
Is the Job related to staff position within a Research Infrastructure?
No
Offer DescriptionTitle: Data-driven auto-calibration of simulation models for Digital Twin application
This position is funded by the EU project ACUMEN. This project has 17 academic and industrial partners, including Univ Eiffel, Alto – coordinator, TU Delft, Université du Luxembourg, NTUA, Here, Aimsun, and LIST…. The project team will comprise two researchers and two Post-docs at Univ Eiffel. About 5 Ph.D.s and 12 Post-docs will be involved through all academic partners. Networking between all project members is paramount to foster collaborations and most tasks are shared by at least two partners. This specific post-doc position aims to close collaborations with NTUA (Prof. Vlahogianni's team) and Aimsum.
Resume:
The overarching aim of ACUMEN is to rethink the actual practices of network and traffic management by (i) designing a safe, secure, privacy-preserving, decentralised data framework allowing all mobility providers and operators to share information in real-time; (ii) resorting to advanced concepts from explainable AI and hybrid intelligence to develop new monitoring and forecasting tools with unprecedented accuracy; and (iii) developing and testing new decision-making and management solutions, acting on all urban scales (section, intersection, network, fleets management) and fostering cooperation between mobility providers. All these contributions will be integrated in a digital twin environment reducing the costs for implementation and operation and offering to stakeholders a unique vision of the transport systems, so to help them better coping with disruptions and long-term evolutions. The new proposed paradigm will be grounded on novel, often disruptive, methods and technologies, using beyond state-of-the-art deep learning, network modelling, complexity theory, meta-modelling and optimisation, risk assessment theory, and advanced ICT (e.g., IoT middleware and privacy preserving infrastructure).
This Post-doc will focus on simulation activities at a large-urban scale using the trip-based multimodal simulation platform developed by LICIT-ECO1. The main objective will be to develop a new calibration component using the heterogeneous data sources available within the ACUMEN data framework. The calibration component will resort to an advanced multimodal travel time and network occupancy estimation method using heterogeneous and sparse data. The ambition is to apply advanced machine-learning methods that can be easily transferred from one city to another using the same data structure through digital twins' interfaces. The challenges are related to spatial coverage considering sparse observations, completeness (all modes of transport should be considered), and transferability. The post-doc will also work on defining the best simulation settings considering contextual factors, e.g. days, weather forecast, and specific events, using historical analysis.
The post-doc will also work with industrial partners to integrate the developed tools in the digital twin's infrastructure and participate in the pilot activities to implement and test the proposed methods.
1https: // github.com/licit-lab/MnMS
RequirementsResearch Field
Engineering » Computer engineering
Education Level
PhD or equivalent
Research Field
Computer science » Modelling tools
Education Level
PhD or equivalent
Research Field
Mathematics » Applied mathematics
Education Level
PhD or equivalent
Skills/Qualifications
We seek highly talented and motivated PhD graduates in Modelling, Simulation, and/or Data Science. Advanced simulation and/or machine learning skills are mandatory as the primary objective is to design, implement and assess calibration methods for large-scale multimodal dynamic traffic simulation models. Excellent English skills (speaking and writing) are required, as are strong analytical and project management skills. EU project involves many partners and tasks with tight deadlines. The recruited person should feel comfortable working on different tasks simultaneously and collaborating daily with multiple European partners. Some basic knowledge about transportation systems and traffic models is appreciated.
Specific Requirements
Languages
ENGLISH
Level
Excellent
Languages
FRENCH
Level
Basic
Additional Information
Benefits
Other information:
Hosting Laboratory: LICIT (Univ Eiffel / ENTPE), https: // licit-lyon.eu
Supervision: Prof. Ludovic Leclercq
Location: Lyon, France
Starting date: from 01/09/2023 to 01/12/2023
Gross salary: 2850€ / month
Duration: 27 months
Selection process
Applications:
Applicants should send their CV, a motivation letter, copies (or links to) their most significant research achievements so far by e-mail to [email protected]. Recommendation letters may be requested during the selection process. Applicants will get an answer only if their application is considered for a first interview.
Work Location(s)Number of offers available
1
Company/Institute
Université Gustave Eiffel
Country
France
City
Lyon
Postal Code
69675
Geofield
Where to applyCity
Bron
Website
https: // licit-lyon.eu
Street
25 avenue François Mitterand
Postal Code
69675
STATUS: EXPIRED