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Accueil > Annonces

PhD position

par Arancha Sánchez - publié le

in Climate-Economy Modelling at Centre d’Economie de la Sorbonne (CES)



CES (Centre d’Economie de la Sorbonne) is looking to recruit a talented and motivated PhD student who will write her/his PhD thesis on the topic of climate-economy modelling in the framework of the ERANET-AXIS project CHIPS.
The CHIPS project (Climate Change Impacts and Policies in Heterogeneous Societies) brings together partners from multiple disciplines to improve state-of-the-art climate-economy integrated assessment models (IAMs) in four ways :

  • (i) an improved representation of impacts with a specific focus on poverty- and growthrelevant impact channels like capital and labor productivity, linking directly to data derived from the Intersectoral Impact Model Intercomparison project (ISIMIP1)
  • (ii) an explicit representation of household heterogeneity in integrated assessment models
  • (iii) conceptual advances to address multi-level equity considerations and new welfare metrics with a special focus on poverty
  • (iv) assessment of the distributional effects of carbon pricing and climate impacts in Europe through empirics and micro-simulation.


The selected candidate will work on better understanding the effect of inequalities on optimal climate policies in an IAM (using the NICE model developed by Dennig et al., 2015). To do the candidate will improve the spatial definition of the model and work on providing better estimates of the income elasticity of climate damages. She/he will have to model various policies according to the distribution of the costs of reducing emissions. She/he will reflect on measures of individual well-being allowing to consider the multiple effects of the climatic change (on income, inequalities, poverty and health). She/he will be based at CES and will work in close collaboration with Stéphane Zuber (CES) and Aurélie Méjean (CIRED).

For further information about requirements, appointment terms and application, please, find here the job description.