Overview
The Center for Plant Molecular Breeding (CeM2P) invites applications for a Postdoctoral position funded by FAPESP, focused on phenotyping of sugarcane and pasture species.
The project emphasizes the use of advanced remote sensing technologies, particularly UAV (drone) imagery data.
The selected fellow will develop strategies, tools, and protocols for high-throughput phenotyping to identify and quantify agronomically relevant traits in sugarcane and forage species, such as resistance to biotic and abiotic stresses and vegetative vigor.
The fellow will also be responsible for disseminating research results through scientific publications in high-impact journals.
Researchers involved:
Prof. Rafael Ribeiro (Institute of Biology, UNICAMP), Prof. Lucas R. Amaral (School of Agricultural Engineering, UNICAMP), Prof. Ricardo da S. Torres (Wageningen University and Research)
On-site position
at UNICAMP, Campinas, São Paulo, Brazil
FAPESP postdoctoral fellowship
: R$ 12,****** per month plus technical reserve
Maximum duration
of 4 years, with annual renewal subject to performance evaluation

Contact for inquiries
:
Application and eligibility
Applicants must submit their application to Prof. Lucas Amaral ( ), including the following documents:
Cover letter describing experience and motivation for applying
CV including publications and major achievements (Lattes CV for Brazilians)
Research proposal with a maximum length of 4 pages, free format
PhD degree obtained within the last 7 years
PhD in one of the following areas: Plant Genetics and Breeding, Agronomy, Agricultural Engineering, Plant Biology, Computer Science, or related fields
Full-time and exclusive dedication to the project
Fluency in English
Relevant scientific publications related to the project theme
Knowledge of plant phenotyping and remote sensing
Scientific independence in designing and conducting research, as well as preparing scientific manuscripts
Familiarity with programming, GIS, and artificial intelligence methods and tools
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Postdoctoral Fellowship On High-Throughput Plant Phenotyping

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