Post-doc Position in In Transportation Optimization - Bron, France - Université Gustave Eiffel

Université Gustave Eiffel

Entreprise vérifiée

Bron, France

il y a 1 semaine

Posté par:

Sophie Dupont

beBee Recruiter

Description

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.

Site web:

Poste et missions:

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 Postdocs 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, privacypreserving, decentralised data framework allowing all mobility providers and operators to share information in realtime; (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 decisionmaking 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 longterm evolutions. The new proposed paradigm will be grounded on novel, often disruptive, methods and technologies, using beyond stateoftheart deep learning, network modelling, complexity theory, metamodelling and optimisation, risk assessment theory, and advanced ICT (e.g., IoT middleware and privacy preserving infrastructure).
This postdoc will focus on designing fleet management strategies to operate better ridehailing (ehailing, ridesharing) systems. The general idea is to enhance existing algorithms that govern matching (assignment of vehicles to passengers), fleet operations and rebalancing strategies (prepositioning of vehicles after dropoff). 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 postdoc 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 postdoc 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.

Mobilité géographique:

Internationale
Télétravail:
Partiel
2 jours par semaine_

Prise de fonction:

02/10/2023
Profil:
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 ridesharing 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.

Other information:

Supervision:
Prof

Ludovic Leclercq
Location:

Lyon, France
Starting date:
from 01/10/2023 to 01/01/2024
Gross salary: 2850€ / month
Duration: 27 months