Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal Institut Agro Montpellier Université d'Excellence Labex Agro Plant2Pro #DigitAg

Home page

Postdoctoral position : Digital Biology of Quantitative Traits in Breeding for Climate Change

Postdoctoral Research Fellow based in Montpellier, France
A Montpellier University of Excellence fellowship at the INRAE Laboratory for Plant Ecophysiology under Environmental Stress (LEPSE) is immediately available for a postdoctoral researcher in digital biology. The postdoctoral fellow will join a project on the integration of quantitative genetics and ecophysiology in order to elucidate constraints on crop improvement and chart new pathways for breeding crops adapted to climate change (drought and heat).

Location                      LEPSE – INRAE, Institut Agro, Montpellier, France
                                     Montpellier University of Excellence: https://muse.edu.umontpellier.fr

Lab Website               https://www6.montpellier.inrae.fr/lepse_eng/Presentation

Date of Hire               As soon as possible

Duration                     24 Months

Gross annual salary   43,000 – 48,000 € (commensurate with experience and qualification)

Scientific areas:        Digital biology; Genome simulation; Quantitative genetics; Ecophysiology; Agronomy; Climate Change

Job Description

A Montpellier University of Excellence fellowship at the INRAE Laboratory for Plant Ecophysiology under Environmental Stress (LEPSE) is immediately available for a postdoctoral researcher in digital biology. The postdoctoral fellow will join a project on the integration of quantitative genetics and ecophysiology in order to elucidate constraints on crop improvement and chart new pathways for breeding crops adapted to climate change (drought and heat).

Focused on maize, with access to large and well-curated datasets of genetically dissected traits and a network of phenomic and genomic platforms for experimentation, the postdoc will develop a digital biology framework that couples genome simulation with crop modeling. This will be used to investigate questions about GxE and the short-term evolution of adapting crops to climate change.

As a postdoctoral researcher, you will be led to:

-       Advance a whole genome simulator to model genetic architectures and breeding values of virtualized genotypes for developmental and physiological traits (parametrized from empirical data in maize).

-       Devise a schema to interface genome simulation with crop modeling, resulting in a scalable simulation platform for investigating GxE (focused on scenarios of water deficit and temperature stress).

-       Collaborate with team members to capitalize on extensive data resources and ongoing experiments for developing and validating the simulation platform.

-       Participate in the writing of manuscripts for peer-reviewed journals.

Location

The position is open at the Laboratory for Plant Ecophysiology under Environmental Stress (LEPSE) of the French National Research Institute for Agriculture, Food and Environment (INRAE). You will join a multi-disciplinary group of plant ecophysiologists, modelers, geneticists, and computer scientists and be situated as a member of the Modelling and Analysis of Genotype x Environment interactions (MAGE) research group. You will have access to state-of-the-art laboratory, experimental, and computer facilities.

Montpellier is a city of 270,000 ideally located in the south of France, on the Mediterranean Sea. Home of Agropolis International, the city is an international hub for research and education in agriculture, biodiversity and environment. With over 3,000 researchers, Montpellier is the largest European center for plant sciences and agronomy. The community provides a vibrant space for young scientists to advance their careers.

Education and Experience Requirements

-       PhD degree in either plant quantitative genetics, computational biology, or a related field; a first contact with phenomics or crop modeling is also appreciated.

-       Experience with handling large, multi-source or multi-scale datasets and analyses of experimental data.

-       Proficiency in scientific computing; experience with high-performance computing and databases is a plus.

-       Proven record of research publications in peer-reviewed international journals.

-       Willingness to collaborate with others as part of a multi-disciplinary research team.

-       Proficiency in spoken and written English.

Application conditions

Candidate of any nationality may apply. The candidates must have doctoral degree at recruitment date (French doctorate, PhD or foreign doctorate of equivalent level) for less than five years.

How to apply

To apply you should submit a letter of interest, a complete curriculum vitae with a list of publications, and the names and addresses (including telephone and email) of three referees who are knowledgeable about the applicant’s professional qualifications and work experience. For further information and to apply, please contact Dr. Randall Wisser (randall.wisser@inrae.fr). Applications will be received until a suitable candidate is found.

Related publications

Manching and Wisser (2020) Bioinformatics btaa749;  Millet et al. (2019) Nat Genet 51:952;  Wisser et al. (2019) Genetics 213:1479;  Parent et al. (2018) PNAS 115:10642;  Tardieu et al. (2018) Annu Rev Plant Biol 69:733;   Alvarez Prado et al. (2017) PCE 41:314;  Cabrera‐Bosquet et al. (2016) New Phytol 212:269;  Millet et al. (2016) Plant Physiol 172:749;  Teixeira et al. (2015) Heredity 114:229.

See also

Downloadable sheet here