Shared Mobility PhD: Optimization, Pricing & Data-Driven

Université Gustave Eiffel - Site de Marne-la-Vallée; Champs-sur-Marne; On-site; EUR 21,000 - 27,000; Full time

Job summary

Université Gustave Eiffel - Site de Marne-la-Vallée invites applications for a 36-month PhD position in Shared Mobility Systems focused on optimization, pricing and data-driven methods. The successful candidate will join the GRETTIA research team, contributing to advanced quantitative modelling and simulation within a cross-disciplinary setting.

The project, part of the ANR JCJC FlexiShare, aims to develop equitable and sustainable mobility solutions using machine learning, reinforcement

Qualifications

• Strong quantitative background in transport or related field.
• Master’s degree or equivalent in a relevant domain.
• Interest in shared mobility, optimization, and data-driven methods.

Responsibilities

• Develop and apply optimization, pricing, and data-driven methods for shared mobility systems.
• Contribute to modelling, simulation, and evaluation of mobility scenarios.
• Publish results and collaborate with the GRETTIA team across disciplines.

Skills

Mathematical modelling

Optimization

Programming

Data analysis

Machine learning

Education

Master’s degree in Transportation Engineering/Operations Research/Data Science

Tools

Java

MATSim

Python

Job description

Université Gustave Eiffel - Site de Marne-la-Vallée invites applications for a 36-month PhD position in Shared Mobility Systems focused on optimization, pricing and data-driven methods. The successful candidate will join the GRETTIA research team, contributing to advanced quantitative modelling and simulation within a cross-disciplinary setting.

The project, part of the ANR JCJC FlexiShare, aims to develop equitable and sustainable mobility solutions using machine learning, reinforcement