The Plant Stress Molecular Biology Laboratory of the School of Plant, Environmental and Soil Sciences is seeking a highly motivated postdoctoral research associate (RA) to conduct research integrating statistical/quantitative genetics with multitude of phenotypic and NGS data generated with germplasm resources within breeding program(s) to identify casual variants controlling desired characteristics and develop genotype-to-phenotype models for desired agronomic traits for marker-assisted selection and multi-variate genomic prediction. The overarching goal is to study genotype/trait-environment interactions and design genomic selection enabled alternative breeding strategies to evaluate and increase estimated genetic gain in variety development program.

QUALIFICATION REQUIREMENTS: Candidates with a Ph. D. in plant breeding, genetics, or other related field with documented experience in applications of quantitative/statistical genetics in QTL (GWAS) analysis and genomic selection are strongly encouraged to apply. The candidate must have expertise in handling statistics/bioinformatics packages (R, Python etc.) and genomics software for analysis of large multiple layers of genomic, phenotypic, and environmental datasets. Applicants should be self-motivated to work independently and be a good team member. The candidate will be required to document research results through publications and conference presentations.

SALARIES: The salary will be commensurate with the incumbent’s experience, skills, education, and training.

Qualified, interested candidates should contact Niranjan Baisakh (nbaisakh@agcenter.lsu.edu) with their research philosophy, updated CV, and the names of three professional references.