Research scientist on weather-based index selection to anticipate yield loss before harvest as part of the CLAND Convergence Instituteat INRA and LSCE

The CLAND Institute of Convergence project (www.cland.lsce.ipsl.fr) funded by the French national research agency for ten years gathers the efforts of more than 100 researchers in the Paris Saclay area from key institutions in the field of climate change impacts, sustainable agriculture, ecosystem services, environmental impacts and land use socio-economics. 
 
The job holder will consider a large range of weather-based indices and variables related to crop yields (from simple average temperature to crop model outputs) and evaluate their ability to anticipate yield losses before harvest (from a few month to a few days before harvest). Evaluation of indices will be conducted from global datasets including crop yields and weather time series, at various spatiotemporal resolutions. 
 
Requirements: Applicants should hold an engineering degree or PhD and have experience in one or several of the following subjects: time series analysis, data mining, statistical modelling, machine learning, econometrics.
 
Candidature: Applicants should submit a complete application package by email to David Makowski (This email address is being protected from spambots. You need JavaScript enabled to view it. ), Tamara Ben-Ari (This email address is being protected from spambots. You need JavaScript enabled to view it. ), and This email address is being protected from spambots. You need JavaScript enabled to view it. and should include (1) a curriculum vitae including most important recent publications, (2) statement of motivation, and (3) names, addresses, phone numbers, and email addresses of at least two references.
The position is available from 01/03/2018 and will remain open until filled with review of applications and interviews. Salary follows national directives including full social and health benefits, and is adjusted for work experience. 

More info here