PhD offer - Deterministic and stochastic exposure assessment of children and pregnant women at emerging 5G frequencies (CHILD_5G) (M/F)
- Rennes, Ille-et-Vilaine
- CDD
- Temps-plein
networking. According to the International Telecommunication Union (ITU), the mobile data traffic is expected to reach 5 zettabyte/month by 2030 and the number of devices connected to internet will exceed 75.4 billion by 2025. 5G exploits a large spectrum, ranging from frequencies below 1 GHz and the mid-band range (up to 6 GHz) to millimeter-wave (mmWave) frequencies. The adoption of the mmWave frequencies for mobile communications is a point of discontinuity with respect to legacy 2G/3G/4G generations. This results in the need to assess and analyse the exposure of the users to 5G technologies, particularly for potentially more sensible subjects, like children and pregnant women.Objective of the PhD project: This project will contribute to improvement of the existing knowledge regarding the exposure of the whole population to one or multiple electromagnetic (EM) sources operating in the 5G bands positioned in the near or far- field with respect to the user. This will include the study of the power absorption
and resulting heat rise as a function of age as well as during pregnancy. The main objective of the project is to develop deterministic and stochastic computational methods, to cope with the high complexity and variability of the exposure scenarios, including thermal analysis. EM and thermal analysis will be performed on human models of increasing complexity accounting for the interindividual variability (skin thickness, humidity, physiological condition, etc.), the age dependence of the EM and thermal properties, and anatomy. This multifaced approach will allow providing accurate children and pregnant women exposure assessment considering both realistic and representative5G exposures scenario and use cases. This project will be carried out at Institut dElectronique et des Technologies du numéRique (IETR), Centre National de la Recherche Scientifique (CNRS) (France) in collaboration with the Institute of Electronic, Information Engineering and Telecommunications of the National Research Council of Italy (IEIIT CNR) (Italy).Key words: dosimetry, millimeter-wave (mmWave), ageing, deterministic and stochastic analysis.References:
[1] G. Sacco, D. Nikolayev, R. Sauleau, and M. Zhadobov, “Antenna/human body coupling in 5G millimeterwave
bands: Do age and clothing matter?” IEEE Journal of Microwaves, vol. 1, no. 2, pp. 593-600, Apr. 2021.
[2] G. Sacco, S. Pisa, and M. Zhadobov, “Age-dependence of electromagnetic power and heat deposition in nearsurface tissues in emerging 5G bands,” Scientific Reports, vol. 11, no. 1, p. 3983, Feb. 2021, ISSN: 2045-2322.
[3] G. Sacco, S. Pisa, and M. Zhadobov, “Impact of textile on electromagnetic power and heating in near-surface
tissues at 26 GHz and 60 GHz,” IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, vol. 5, no. 3, pp. 262-268, Dec. 2020, ISSN: 2469-7249, 2469-7257.RequirementsResearch Field Engineering Education Level Master Degree or equivalentResearch Field Physics Education Level Master Degree or equivalentResearch Field Technology Education Level Master Degree or equivalentLanguages FRENCH Level BasicResearch Field Engineering Years of Research Experience NoneResearch Field Physics Years of Research Experience NoneResearch Field Technology Years of Research Experience NoneAdditional InformationAdditional commentsCandidate
- Education: MS or equivalent degree in biomedical engineering, electrical engineering, or physics.
- Background: knowledge in electronics, bioelectromagnetics, numerical modelling.
- Fluency in English: the candidate should be conversant and articulate in English and must have strong writing skills. Knowledge of French is not required but would be appreciated. Website for additional job details
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