Postdoctoral Fellowship in Forest Breeding and Epigenomics

Employer

School of Agriculture (FCA) – UNESP, Botucatu - SP, Brazil

Description

Field of Knowledge: Agrarian Sciences / Forest Resources and Forest Engineering / Plant Genetics and Breeding

FAPESP Grant Number: 2025/16608-5

Project Title: C-effect in focus: unraveling decades of uncertainty with an epigenomic approach

Area of Expertise: Forest Breeding / Epigenomics / Molecular Biology / Bioinformatics / Vegetative Propagation

Number of Positions: 1

Fellowship Value: R$ 12,570.00 monthly (consult the current FAPESP Fellowship values at fapesp.br/valores/bolsasnopais). It includes a Technical Reserve equivalent to 15% of the annual fellowship value to meet unforeseen expenses directly linked to the research activities.

Principal Investigator: Prof. Dr. Evandro Vagner Tambarussi

Unit/Institution: School of Agriculture (FCA) – UNESP, Botucatu Campus

Application Deadline: August 21, 2026

Start Date: 1st day of the immediate month upon FAPESP approval

Location: Botucatu, São Paulo

E-mail for Applications: [email protected]

Activities and Context: The postdoctoral fellow will investigate the epigenetic mechanisms underlying adventitious rooting and the “C effect” in forest tree species, integrating genetics, next-generation sequencing (NGS), and bioinformatics. Responsibilities include tissue sampling, DNA extraction, whole-genome bisulfite sequencing (WGBS), epigenomic pipeline development, DMR identification, multi-omics data integration, field experiments, phenotyping, data management, FAPESP reporting, and publication of scientific articles.

Candidate requirements

Mandatory Requirements

·         Hold a Ph.D. obtained no more than seven years ago in the fields of Forest Science, Forest Engineering, Genetics and Breeding, or related areas.

·         Consolidated mastery of advanced molecular biology techniques and high-quality nucleic acid extraction from diverse matrices, and proven experience with NGS platforms.

·         Knowledge of bioinformatics, handling large volumes of biological data, and programming languages geared towards statistical analysis and genetic/genomic data, including the development and optimization of analysis pipelines.

·         Ability to conduct nursery/field experiments and aptitude for working in a multidisciplinary team.

Desirable Requirements

·         Knowledge of advanced statistical modeling, generalized linear mixed models (REML/BLUP), and integration of omics data.

·         Aptitude for co-advising undergraduate and graduate students.

Further details

Possible start of employment: Thursday, 01 October 2026.

Contract: Full-time, Fixed-term

Salary: R$ 12570 monthly

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