Spatialized Optical Thermometry to Image The - Rennes, France - Geosciences Rennes (UMR6118)

Geosciences Rennes (UMR6118)
Geosciences Rennes (UMR6118)
Entreprise vérifiée
Rennes, France

il y a 2 semaines

Sophie Dupont

Posté par:

Sophie Dupont

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Description

Spatialized optical thermometry to image the coupling between flow and heat transport processes in geological fractures:

  • Réf
-
ABG-111292

  • Sujet de Thèse 20/02/2023
  • Financement de l'Union européenne
  • Geosciences Rennes (UMR6118)
  • Lieu de travail
  • Rennes
  • Bretagne
  • France
  • Intitulé du sujet
  • Spatialized optical thermometry to image the coupling between flow and heat transport processes in geological fractures
  • Champs scientifiques
  • Physique
  • Ecologie, environnement

Description du sujet:


We are pleased to announce a PhD position at University of Rennes, France on the modelling of heat transport processes in the subsurface.

This position is offered in the frame of the recently funded ERC starting grant "CONCRETER" (Groundwater flow CONtrols on CRitical ZonE).


Nature du financement:


  • Financement de l'Union européenne

Précisions sur le financement:

  • ERC
    Présentation établissement et labo d'accueil:
  • Geosciences Rennes (UMR6118)
Géosciences Rennes (GR) is a joint research unit (CNRS + UR1) with 60 permanent researchers. It hosts ~10 foreign researchers/year, and publishes ~ 100 papers/year. The Rennes hydrogeology group is composed of 15 permanent staff and is internationally recognized as one of the leading group in this field.

The PhD will be carried out in Geosciences Rennes and supervised by Maria Klepikova. The expertise on fluid experimentation in porous media systems will be provided Y. Méheust, T. Le Borgne and J. Heyman, while the expertise in phosphor thermometry technique will be provided by B. Fond (ONERA - The French Aerospace Lab).


Requirements:

Research Field - Geosciences or Physics or Environmental science

Education Level - Master Degree or equivalent


Skills/Qualifications

  • Sound and quantitative understanding of fluid mechanics
  • Experience with computer programming /scripting (Matlab, Python, R) is an advantage
  • Applicants must be proficient in both written and oral English
  • Experience in fluid flow modelling in geological media is an advantage
  • Applicants must be able to work independently and in interdisciplinary teams.
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