07/12/2021
Marie Skłodowska-Curie Actions

MSCA-COFUND-CLEAR-Doc - PhD Position #CD21-16 "Urban road traffic noise assessment methods targetting evolving traffic conditions"

This job offer has expired


  • ORGANISATION/COMPANY
    Université Gustave Eiffel
  • RESEARCH FIELD
    EngineeringSound engineering
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    22/03/2022 17:00 - Europe/Brussels
  • LOCATION
    France › Nantes
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    35
  • OFFER STARTING DATE
    03/10/2022
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions COFUND
  • REFERENCE NUMBER
    101034248
  • MARIE CURIE GRANT AGREEMENT NUMBER
    101034248

OFFER DESCRIPTION

Context

The health effects of noise have been widely demonstrated: annoyance, sleep disturbance, cardiovascular effects, etc. Noise is also the source of strong socio-spatial inequalities. However, despite the legislative framework that has been progressively put in place, in particular the European directive 2002/49/EC which requires all cities with more than 100,000 inhabitants to produce and disseminate noise maps of their road infrastructures, the links between mobility and noise, and their impact in terms of environmental justice, remain partly unknown.

In particular, the assessment methods used in practice rarely include road traffic modeling, and are based instead on simple assumptions of volume or speed reduction, which are very limiting. Modelling chains integrating traffic modelling have recently been developed, which allow to describe the impact of traffic regulation actions (modification of an intersection, reduction of the regulatory speed, etc.) on traffic flow, on the subsequent noise emissions and finally on the resulting noise levels. The traffic models used are either microscopic traffic models (SUMO, Symuvia, Vissim) or multi-agent systems (MATSim). The former allow to focus on the fine impact on a street scale, by modeling the interactions between vehicles, while the latter methods are rather dedicated to studies on the metropolitan scale, and are based on a modeling of the agents' activity.

Despite the progress enabled by each of these modelling chains, their use in an environmental assessment framework remains rather rare to date, and many research questions remain unanswered. In particular, the acoustic indicators to be used for the assessment must on the one hand meet the perceptual criteria of the state of the art (noise dynamics, noise peaks), and on the other hand provide detailed insight into the associated impacts (a noise emitted in a noisy environment does not have the same impact as in a quiet environment). These reflections on indicators require adapting the modeling chains (individualization of vehicle emissions, taking into account the spatial and temporal dynamics of exposures, etc.), and taking into account the limitations associated with these modeling chains at the different spatial scales of interest.

The objective of the thesis is to advance on the question of indicators, and to propose a methodological framework for the evaluation of the acoustic impacts of road traffic in urban areas, applied through different examples, such as the impact of night-time deliveries or noisy vehicles.

Scientific material

The thesis will rely on partially operational modeling chains, using NoiseModelling (open-source environmental noise prediction model), MATSim (open-source framework for implementing large-scale agent-based transport simulations), SUMO and Symuvia (open-source microscopic traffic models).

Moreover, the PhD student will be integrated in a facilitating research environment, since a research project, SYMEXPO, which aims at consolidating these modeling chains, will be simultaneously conducted at UMRAE/UGE. As such, the student will interact with the project team, and in particular with its development engineer.

Finally, within the framework of the mobility planned at the Royal Institute of Technology (KTH), the PhD student will be part of the ""ECO2 Vehicle Design"" center, a national center of excellence bringing together all the major actors of the Swedish automotive sector (car and truck manufacturers, regulatory bodies, research institutes, etc.) around multi-disciplinary societal issues. In this environment, in addition to direct interactions with these partners, the PhD student will have the opportunity to benefit from updated input data collected in the context of an industry in rapid transformation (experimental characterization of equivalent sources for light/heavy duty internal combustion, hybrid or electric vehicles, noise resulting from tire/road contact under various conditions, ...).

Work programme

The first objective of the thesis will consist in a reflection on the acoustic indicators, integrating a state of the art and relying on the recent research results in economics and perception of the two partner laboratories, at the Gustave Eiffel University and KTH.

Then, the doctoral candidate will acquire in-depth undetstanding of the existing modeling chanis in order to adapt these to enable the evaluation of the indicators retained for the evaluation.

Finally, the definition of relevant case studies, highlighting for example the effects of urban logistics or noisy vehicles, will allow to propose a methodological framework for the evaluation of the acoustic impacts of road traffic. These case studies will be defined in collaboration with local authorities and on the basis of discussed regulations (e.g. on night-time traffic), and will be based on sites where the input traffic data necessary for the implementation are already available (Grand Lyon or Stockholm).

International Mobility:

This thesis will be in cosupervision (cotutelle) with KTH Royal Institute of Technology, Stockholm (Sweden). For more information, contact the PhD thesis supervisor.

 

More Information

Benefits

  • 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

Please refer to the Guide for Applicants available on the CLEAR-Doc website.

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.

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Web site for additional job details

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Engineering: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

  • 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.
  • The candidate will have a strong background in engineering science.
  • Ideally, the candidate will have already worked with multi-agent models or microscopic traffic models, and will have a strong interest in environmental sciences.
  • Writing skills and a good level of English are essential, as well as programming skills.

Specific Requirements

This thesis will be in cosupervision (cotutelle) with KTH Royal Institute of Technology, Stockholm (Sweden). For more information, contact the PhD thesis supervisor.

Work location(s)
1 position(s) available at
Université Gustave Eiffel
France
Nantes
44344
Allée des ponts et chaussées CS5004

EURAXESS offer ID: 716308

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