|From||kostas markakis <firstname.lastname@example.org>|
|Date||Tue, 18 Oct 2016 09:42:54 +0200|
Job title: Post-doctoral research position on climate/air-quality modelling at the urban scale
Location: LMD, Paris, France (http://www.lmd.jussieu.fr)
Duration: 24 months
Start date: January 15, 2017
Salary: Depending on the post-doctoral experience and based on the CNRS rules around 2000 Euros (net)
A two-year post-doctoral position is available at the Laboratoire de Météorologie Dynamique in Paris, France (http://www.lmd.jussieu.fr) within the framework of the H2020 PULSE project (Participatory Urban Living for Sustainable Environments). The PULSE project focuses on five cities: New York, Paris, Singapore, Birmingham and Barcelona where a large amount of health, air-quality, climate, demographical and activity data will be collected and analysed with big-data methods. The ultimate goal of the project is to develop a predictive model for the diagnosis of type 2 diabetes and asthma. The collected data will stem from several sources such as climate and air-quality simulations, surface and remote sensors, satellites, air-drones as well as social networks and smart phones.
The post-doc position will focus on urban scale climate and air-quality simulations over the cities of New York, US and Paris, France using the WRF (http://www.wrf-model.org/index.php) and CHIMERE (http://www.lmd.polytechnique.fr/chimere/) meteorological and air-quality models respectively. In order to account for an envelope of mid-21st century climatic conditions, the candidate will develop climate projections under an optimistic and a pessimistic greenhouse gas emission scenario (RCP2.6 and RCP8.5 respectively, http://sedac.ipcc-data.org/ddc/ar5_scenario_process/RCPs.html). The local air-quality simulations will be driven by city-scale emission inventories (compiled with a bottom-up method). For Paris these emissions are developed by the local environmental agency (AIRPARIF) while for the NY city the candidate will be responsible for their compilation using the SMOKE model (https://www.cmascenter.org/smoke/) and available anthropogenic activity emission related data. Emission projections will derive from the ECLIPSE global database developed by IIASA (http://www.iiasa.ac.at/web/home/research/researchPrograms/air/ECLIPSEv5a.html).
Candidates for this position are expected to hold a PhD in atmospheric chemistry and/or physics or a related discipline. Previous experience in climate and/or meteorological modeling such as WRF and chemistry transport modeling will be especially appreciated. The working environment will be linux so basic knowledge of bash script or other shell language is expected as well as programming skills in Fortran and familiarity with python matlab or R for post-processing analysis. Good written and oral communication skills in English are necessary.
-- Konstantinos Markakis Post-doctoral researcher LMD (Laboratoire de Meteorologie Dynamique), IPSL Ecole Polytechnique 91128 Palaiseau Cedex e-mail: email@example.com
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