Position

Based on experimental data collected in different parts of the world, you will develop
statistical and/or machine learning models able to map the performances of intercropping in
Europe.
You will study how intercropping soybean and corn could help Europe become self-sufficient
in protein without increasing its cultivated area.
You will study the effect of climate change on soybean-maize intercropping productivity and
on the level of land saving induced by intercropping compared to monocrops.
You will quantify the environmental benefit of soybean-maize intercropping at the European
scale, in particular in terms of N fertilizer use and greenhouse gas emission reductions.
You will collaborate with international research institutes involved in research on
intercropping, in particular with WUR (The Netherlands) and CAU (China).
You will participate in national and international conferences and publish scientific articles
related to the research project.
The position is funded by the project CLand that develops new cross-disciplinary research
across leading teams in the Paris area in modelling climate change, agricultural production,
biodiversity dynamics, ecosystem functioning and land-use socio-economics. As such, you
will actively interact with a diversity of research groups.

What we offer

We offer a full-time contract as a postdoctoral researcher for a period of 12 to 24 months,
depending on your profile and availability.
The starting date is September or October 2022 preferentially, but could be negotiated.
The salary is based on French standards and takes into account previous experiences.
You will have up to 30 days of annual leave + 15 days « Reduction of Working Time ».
You can benefit up to 144 days of remote working days per year (weekly presence
requested).
You will be based at the Paris-Saclay Campus (Palaiseau, 40 minutes by public transports
from downtown Paris, and lodging facilities available on campus) in a dynamic and
stimulating working environment.
You will be involved in an international collaboration with several countries.

Want to apply?

You can apply for this vacancy by email to David Makowski () and
Nicolas Guilpart ().

Your application should include a motivation letter, names of two professional contacts, CV,
list of publications.

Main contact:

David Makowski
UMR MIA
INRAE AgroParisTech University Paris-Saclay

https://www6.inrae.fr/mia-paris/Equipes/Membres/David-Makowski

https://cland.lsce.ipsl.fr/

You have a PhD in crop modelling, agricultural science, environmental science, agroecology,
or applied statistics.
You have a strong command of data management and are able to conduct independent
applied quantitative data analyses. You are very familiar with R programming.
Knowledge in meta-analysis, statistical modelling, and/or standard machine leaning tools is a
plus.
Knowledge on climate change is a plus.
You present a documented experience in scientific writing and publication in peer-reviewed
scientific journals.
You have good English communication skills.