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Up to 30% off — ends 2 Aug
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INRAE
1 week ago
PhD in Simulation-Based Optimal Breeding Strategies Under Uncertainty INRAE in France
Degree Level
PhD
Field of study
Environmental Science
Funding
Full funding availableCountry
France
University
INRAE

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About this position
PhD opportunity in simulation-based optimal breeding strategies under uncertainty, with a strong focus on plant breeding, quantitative genetics, adaptation, and economic optimization.
The project aims to identify breeding strategies that balance productivity and adaptation under increasing environmental constraints and extreme events. It also studies how to adjust breeding programs when target traits show negative correlations that vary with the environment, and how to compare and optimize breeding decisions over time as uncertainty resolves (for example, new technologies or changing breeding priorities).
The PhD will be supervised by David Pot (CIRAD, UMR Agap Institut, Montpellier) and Laurence Moreau (INRAE, UMR Quantitative Genetics and Evolution, Gif-sur-Yvette), with additional supervision from Marie Serrie (CIRAD, AGAP Institute, Montpellier) and support from Sophie Bouchet (INRAE, UMR Genetics, Diversity, and Ecophysiology of Cereals, Clermont-Ferrand) and Stéphane Lemarié (INRAE, Grenoble Laboratory of Applied Economics, UMR GAEL).
The project is funded through the PlantAlliance project SimOBreed. The post does not mention a deadline, eligibility details, or a formal application portal.
Relevant study areas include Agriculture, Biology, Statistics, Economics, and Environmental Science.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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