Post-Doc Position In Transportation Optimization And Control At Univ Eiffel, Licit-Eco7 (27 Months)

9 Jun 2023

Job Information

Organisation/Company

Université Gustave Eiffel

Department

COSYS

Research Field

Engineering » Simulation engineering

Engineering » Computer engineering

Computer science » Modelling tools

Mathematics » Computational mathematics

Researcher Profile

Recognised Researcher (R2)

Country

France

Application Deadline

30 Oct 2023 - 12:00 (Europe/Paris)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

35

Offer Starting Date

1 Oct 2023

Is the job funded through the EU Research Framework Programme?

HE

Reference Number

1011033808

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Title: Rebalancing and matching strategies for (ridehailing) mobility services under demand uncertainties and network disruptions

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 TU Delft (NL), NTUA (GR) and Univ. Luxembourg (LU).

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 designing fleet management strategies to operate better ridehailing (e-hailing, ridesharing) systems. The general idea is to enhance existing algorithms that govern matching (assignment of vehicles to passengers), fleet operations and rebalancing strategies (pre-positioning of vehicles after drop-off). The goal is to focus both on seamlessness (smooth transition between modes) from the user perspective and resilience/robustness from the network point of view. One of the most challenging goals of ACUMEN is to develop a centralized orchestrator that can arbitrate between different strategies targeting different transportation system components. The post-doc will work on abstracting the fleet management strategies to fit the orchestrator's needs. Machine learning and AI technics will be the cornerstone here. 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.

Requirements

Research Field

Computer science » Modelling tools

Education Level

PhD or equivalent

Research Field

Engineering » Simulation engineering

Education Level

PhD or equivalent

Research Field

Mathematics » Computational mathematics

Education Level

PhD or equivalent

Skills/Qualifications

We are looking for highly talented and motivated PhD graduates in Control, Optimization and/or computer sciences. Advanced skills in control, optimization and simulation are mandatory as the primary objective is to design, implement and assess fleet management strategies for ride-sharing systems. Excellent English skills (speaking and writing) is required, as are strong analytical skills and project management skills. EU project involves many partners and tasks with tight deadlines. The recruited person should feel comfortable with working on different tasks at the same time and collaborating on a daily basis with multiple European partners. Some basic knowledge about transportation systems and traffic models is appreciated.

Languages

ENGLISH

Level

Excellent

Languages

FRENCH

Level

Basic

Research Field

Engineering » Simulation engineeringComputer science » Modelling toolsMathematics » Computational mathematics

Additional Information

Benefits

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

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

Univ. Eiffel / LICIT-ECO7

Country

France

City

Bron

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