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MSCA-COFUND-CLEAR-Doc-PhD Position#CD22-51: Air quality evolution at the local scale, in the absence of a calibration reference point

13/10/2022

Job Information

Organisation/Company
Université Gustave Eiffel
Department
International Vice Presidency
Research Field
Psychological sciences
Psychological sciences » Psychology
Engineering
Physics
Researcher Profile
First Stage Researcher (R1)
Country
France
Application Deadline
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
35
Is the job funded through the EU Research Framework Programme?
H2020 / Marie Skłodowska-Curie Actions COFUND
Marie Curie Grant Agreement Number
101034248
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

Recent years following the COVID19 pandemic. Air quality has become an important concern in major cities around the world. Currently, the measurement of air quality is governed by European regulations. It is often assessed on a regional scale using sets of fixed measuring stations coupled with geospatial observation systems.

The current measurement approach has the advantage of being able to cover an important measurement area. However, such a method does not allow to take into account measurement anomalies detected locally at the scale of a human body.

This need for accurate, real-time information at the individual level has accelerated the development of portable measuring devices.

Currently, autonomous and geolocatable pollution sensors with integrated SIM card seem to stand out (PM 2.5; PM10 for example). These sensors have the advantage of being easily accessible with a human-sized range. One of the major problems encountered in air quality monitoring concerns the analysis and correction of pollution measurements when moving away from the reference sensor. This problem is become more important when measurements are made in alleys or between buildings or obstacles high enough to interfere with the signals emitted by the reference sensors. Other operational problems have also been identified: lack of reliable geospatial data to serve as a reference at the local scale, increasing need for accuracy of continuous flow measurements and the difficulty of acquiring data using continuous flow emission sensors in constrained environments, especially urban.

For several years, the GERS GIE laboratory has developed a competence in the study of the particle flight mechanism in a thin boundary layer under environmental stress. This multiphysics approach (soil mechanics, fluid mechanics) was first used to study the degradation of unpaved road under traffic loading (Sediki et al., 2016), to deal with visual nuisance problems due to dust emissions (Le Vern et al. 2022), and to optimize the use of water for dust suppression on construction sites (Sédiki et al. 2022) (Rayssac et al. 2022). This skill was then transposed to the study of aerosol behavior (Victor, 2021) (Morin, 2022), at the laboratory and in situ scales before being extended to the study of air quality.

By extension, with a multidisciplinary approach, the perception of exposure risks, the impact of emissions on air quality at local and regional scales and the correlations between lung diseases and dust-borne pathogens are proving to be a real fundamental need and have been integrated in the approach.

The GERS-GIE laboratory has equipment for control of air quality at laboratory and in situ scale. At laboratory scale, a subsonic wind tunnel equipped with a stereo velocimetry system using high frequency stereo particle images velocimetry (HF PIV stereo) and a LIF ratiometric option is available for wake flows modeling.

To solve the scientific and technological challenges mentioned above, the thesis aims at improving the reliability of air quality metrology at the local (metric) scale by a IA (deep learning) combined with a probabilistic approach.

Air quality measurement data collected from a previous in situ measurement campaign in the Pays de la Loire region will be used to feed the learning, modeling and validation while taking into account the sets of climatic parameters and the immediate environment parameter of the measurement area: weather, building, ...

To optimize the resolution in time and space, the geolocalization parameters of the sensors will be used to allow a continuous comparison between: the measurement values at the regional scale, the one measured by the sensor and the one predicted between two consecutive time increments.

The adopted correction methodology will be modeled by a probabilistic approach and then validated with wind tunnel tests to highlight the mechanism(s) governing the diffusion of particles in the wake of the sensor. This approach aims to define the suitable correction coefficient of measurement. An additional in situ measurement campaigns will be carried out by applying the correction coefficient to assess the level of uncertainty observed.

Requirements

Research Field
Engineering
Education Level
Bachelor Degree or equivalent
Research Field
Physics
Education Level
Bachelor Degree or equivalent
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.

 

Languages
FRENCH
Level
Good
Languages
ENGLISH
Level
Good

Additional 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

Applicants must fulfil the following 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 fulfil the transnational mobility rule: incoming applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 previous years.
  • One application per call per year is allowed.
  • Applicants must be available full-time to start the programme on schedule (November 1st 2023).

Application rules are enforced by the French doctoral system which specifies a standard duration of 3 years for a full-time PhD together with the MSCA standards and the OTM-R European rules as follows.

Citizens of any nationality may apply to the programme.

There is no age limit.

Selection process

Please refer to the Guide for Applicants available on the CLEAR-Doc website: https://clear-doc.univ-gustave-eiffel.fr/how-to-apply/useful-documents/ 

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.

International mobility: Please contact the PhD supervisor for any additional detail on the international mobility.

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

Website for additional job details

Work Location(s)

Number of offers available
1
Company/Institute
Université Gustave Eiffel
Country
France
City
Nantes
Geofield

Contact

City
Marne-La-Vallée
Website
Street
5, Boulevard Descartes
E-Mail
andry.RAZAKAMANANTSOA@univ-eiffel.fr