Post-Doc Position In Transportation Modelling, Simulation And Calibration

23 May 2023

Job Information

Organisation/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 Description

Title: 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

Requirements

Research 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 apply

E-mail

[email protected]

Contact

City

Bron

Website

https: // licit-lyon.eu

Street

25 avenue François Mitterand

Postal Code

69675

STATUS: EXPIRED