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INRAE

PhD in Simulation-Based Optimal Breeding Strategies Under Uncertainty INRAE in France

Degree Level

PhD

Field of study

Environmental Science

Funding

Full funding available
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Country

France

University

INRAE

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Keywords

Environmental Science
Agriculture
Biology
Plant Breeding
Monte Carlo Simulation
Adaptation
Extreme Events
Quantitative Genetics
Economics
Statistics

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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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