Marie Skłodowska-Curie Actions

MSCA-COFUND-CLEAR-Doc - PhD Position #CD21-33 "Preparing Infrastructure for Automated Vehicles by Designing Nextgen I2V Interfaces - PI4AV Project"

This job offer has expired

    Université Gustave Eiffel
    EngineeringCivil engineering
    EngineeringSystems engineering
    First Stage Researcher (R1)
    21/03/2022 17:00 - Europe/Brussels
    France › Marne-La-Vallée
    H2020 / Marie Skłodowska-Curie Actions COFUND



Level 4/5 automated vehicle (AV) is a groundbreaking technology capable of responding to the challenges posed by the development of secure and efficient modern road transportation systems. Progress in this field, together with the advances in low carbon vehicle technology and increased shared mobility, can speed up the energy and climate transitions of the transport sector. The evolution towards automated mobility will take time and demands a progressive reshaping of the entire road system, in particular the physical infrastructure, intended and administered as a public heritage (PIARC, 2021; ITF-OECD, 2021).

The road equipment, and particularly the road surface marking (RSM), is detected and interpreted by the on-board sensors of the AV to allow for lateral positioning and self-driving. Moreover, the RSM is part of the visual landmarks integrated in the HD-maps uploaded in the AV. An important requirement for the deployment and safe operation of the AV is the good state of the RSM (Redondin et al., 2020). Alternative technical solutions to RSM such as in-pavement transponders or magnets require additional devices onboard the vehicle which might hinder their further development (Houdali et al., 2014).

This automation of vehicle lateral control can result in the more rapid appearance of structural defects in the roadway as vehicles, particularly heavy duty vehicles (HDVs), travel in the same lane. These structural defects (cracks, rutting) can in turn degrade the operation of the vehicles' on-board systems.

To avoid such a vicious circle, which is costly for society, it is necessary to rethink the engineering of the interfaces between the vehicles and the infrastructure (I2V). To this end, we propose to examine the various sources of innovation to achieve this. The digitalization of infrastructure, made possible by on-board sensors in vehicles, can improve knowledge of the asset and enable the manager to make better decisions. For their part, nanotechnologies can enable the road and its equipment to diagnose themselves, for example through the functionalization of pavement materials (Barriera et al., 2020; Leiva-Padilla et al., 2020) or markings (Hautière et al., 2017).

The challenge of the thesis is to propose a framework allowing the unification of the two approaches, intelligent systems engineering on the one hand and transport infrastructures on the other, and by the same token to contribute to the rapprochement of the various related scientific communities.


The thesis work will be broken down as follows:

2.1 CONTEXT DEVELOPMENT for investigating the needs of road infrastructure adaptations to be CCAM-ready in Urban and Interurban areas (amongst the needs will focus on infrastructure-vehicle interface)

The aim is to provide an exhaustive state of the art on the expectations of automated vehicle designers regarding road infrastructures, particularly in terms of physical and digital interactions (I2V). We are thinking mainly of the reading of road markings and the consequences this has in terms of design, maintenance, and upkeep of road infrastructures.

2.2 (LAB) INVESTIGATION of current I2V interfaces (paints, sensors, etc.)

The aim is to understand how the different I2V interfaces identified in the previous step are studied in the laboratory. This can be done by identifying physical models, ageing laws and simulation tools for these interfaces.

2.3 TECHNICAL FRAMEWORK DEVELOPMENT to engineer improved I2V interfaces for empowered automated driving

The aim is to propose a unified model of the main I2V interfaces between automated vehicles and infrastructure. A software chain for simulating this model will be proposed and possibly experimentally validated.


Beyond the development of the interaction model between the road and the automated vehicle, the thesis work will raise and shed light on several questions for the management of tomorrow's roads:

• If automated driving can be positive in terms of socio-economic impact, can the additional cost for the manager due to the increased requirements in terms of infrastructure quality be compensated by better management made possible by its digitalization?

• Will traditional road managers have the means to upgrade their skills?

• Does automation call into question the traditional division between traffic managers and asset managers?

• What is the impact of new technologies on the life cycle cost of road infrastructure?

• What are the consequences in terms of public procurement?

International and Intersectoral Cooperation

Secondments at Eiffage and University of Palermo, Italy will be organized.

For more information, contact the PhD thesis supervisor.


More Information


  • High-quality doctoral training rewarded by a PhD degree, delivered by Université Gustave Eiffel
  • Access to cutting-edge infrastructures for research & innovation.
  • Appointment for a period of 36 months based on a salary of 2 700 € (gross salary per month).
  • Job contract under the French labour legislation in force, respecting health and safety, and social security: 35 hours per week contract, 25 days of annual leave per year.
  • International mobility will be mandatory
  • An international environment supported by the adherence to the European Charter & Code.
  • Access to dedicated CLEAR-Doc trainings with a strong interdisciplinary focus, together with a Career development Plan.

Eligibility criteria

  • At the time of the deadline, applicants must be in possession or finalizing their Master’s degree or equivalent/postgraduate degree. At the time of recruitment, applicants must be in possession of their Master’s degree or equivalent/postgraduate degree which would formally entitle to embark on a doctorate.
  • At the time of the deadline, applicants must be in the first four years (full-time equivalent research experience) of their research career (career breaks excluded) and not yet been awarded a doctoral degree. Career breaks refer to periods of time where the candidate was not active in research, regardless of his/her employment status (sick leave, maternity leave etc). Short stays such as holidays and/or compulsory national service are not taken into account.
  • At the time of the deadline, applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately prior to the call deadline.
  • Applicants must be available to start the programme on schedule (around 1st October 2022).

Selection process

Additional comments

  • The First step before applying is contacting the PhD supervisor. You will not be able to apply without an acceptation letter from the PhD supervisor.
  • Please contact the PhD supervisor for any additional detail on job offer.
  • There are no restrictions concerning the age, gender or nationality of the candidates. Applicants with career breaks or variations in the chronological sequence of their career, with mobility experience or with interdisciplinary background or private sector experience are welcome to apply.
  • Support service is available during every step of the application process by email: clear-doc@univ-eiffel.fr

Web site for additional job details

Offer Requirements

    ENGLISH: Excellent
    FRENCH: Basic


At the time of the deadline, applicants must be in possession or finalizing their Master’s degree or equivalent/postgraduate degree.

At the time of recruitment, applicants must be in possession of their Master’s degree or equivalent/postgraduate degree which would formally entitle to embark on a doctorate.

Specific Requirements

International mobility : a 3 secondment at University of Palermo (Italy). For more information, contact the PhD thesis supervisor.

Work location(s)
1 position(s) available at
Université Gustave Eiffel
14-20 Boulevard Newton Cité Descartes, Champs-sur-Marne

EURAXESS offer ID: 716452


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