Post-doctoral postion in modeling Seedfor project

• Location

The position is based in Nancy, UMR Silva-AgroParisTech

• Mission

The aim of SEEDFOR is to understand how climate change and management can shape the redistribution of forests in France. Specifically, how regeneration dynamics could shape the transition between Mediterranean and Temperate Biome. Our goal is to understand how the seed and seedling stage constraint tree species range shifts thorough ecological (seed ecology and microclimates) and management processes (provenance planting choice, harvesting intensity).

The researcher will lead the modeling of potential forest biome shifts by integrating data from experiments on seedling establishment, forest inventory data, and modeling microclimate. The postdoc will create innovative scenarios to assess the potential for rapid shifts in forest types in France as a result of microclimate, regeneration and forest management.

• Skills

We expect a candidate willing to link seed ecology, forest ecology and biogeography through modeling work, publish their results in international journals, and transfer the results to local management team.

- Relevant scientific coding skills, especially in R. Statistical modeling in Ecology, including spatial statistics and species distribution models.
- Experience with forest simulation models (LANDIS-II, FORCEEPS, etc) or individual based models more generally.
- Ability to write and communicate in English, and demonstrated evidence to publish scientific peer-reviewed articles in the field.

• Application

Please upload HERE the three documents required (see below) in ONE ZIPPED FILE with the following file naming convention: LASTNAME_FIRSTNAME.zip.
(1) a motivation letter (1.5-pages maximum) specifying how your past experience is linked to the position we are offering. PDF format
(2) Your CV. PDF format
(3) The contact details (full name, position, institution, email and address) of two individuals who could provide a reference letter for you (in English, Spanish, French or Catalan). PDF format
Materials should be submitted by October 1st 2023.

• Contact

pep.serradiaz [at] agroparistech.fr