MASTER’S THESIS GRANT (M2)

• Location

AgroParisTech campus, Nancy, France
UMR SILVA, équipe EcoSilva

• Missions

 Understanding how future climate change can impact nature and society requires the most advanced simulations to delineate future scenarios. To date climate change scenario data are served are coarse resolutions with maps that range between 1 km to 100 km resolution. Such low resolution impacts the translation of such information into actionable mitigation strategies. In this M2 thesis, we will use advanced topoclimate downscaling techniques and microclimate modeling to downscale climate change scenarios at 50m resolution for Metropolitan France. We will use a stepwise procedure to first create maps of topographic conditions, and then use forest canopy cover in interaction with topography attributes to infer microclimate inside and outside the forest. The result is to estimate how different scenarios and modeling approaches can impact climate projections and climate connectivity in France by the end of the 21st century.

• Skills

We are seeking for a highly motivated individual who is interested in big data and is at ease with coding and geographical information systems. We are ultimately interested in making this project available to the public through a scientific publication, so candidates interested in a research career are welcome.

• Application

Send an email to C; Piedallu and JM Serra-Diaz (email addresses below) with the following files: (1) CV, (2) a short (half page maximum) motivation letter that includes the names of a former supervisor that could write a reference letter for you

• Contact

Christian Piedallu (christian.piedallu@agroparistech.fr)
Josep M Serra-Diaz (pep.serradiaz@agroparistech.fr)