Lead Plant Genomics & Breeding Scientist (Wheat & Lentil)

SLU - Swedish University of Agricultural Sciences; Lomma kommun; Presencial; SEK 620.000 - 780.000; Jornada completa

Descripción de la vacante

SLU – Swedish University of Agricultural Sciences, Department of Plant Breeding in Alnarp, Sweden, seeks a highly motivated researcher to advance genetics, genomics, and crop improvement. The role focuses on disease resistance and grain nutrient quality in wheat and lentil, employing data-driven approaches and multi-omics integration in a pre-breeding context.

The successful candidate will lead both experimental and analytical work, collaborate across groups, supervise students, and contribute

Formación

• PhD in plant genetics, plant breeding, agriculture, or related field.
• Strong understanding of the genetic basis of complex quantitative traits.
• Experience with GBS data and GWAS.
• Experience with nutritional quality traits in crops.
• Experience with multi-omics datasets integration.
• Experience with advanced statistical methods for analysing genetic and phenotypic data.
• Practical field experiment experience and phenotyping.
• Proficiency in English (written and spoken).

Responsabilidades

• Analyse Genotyping by sequencing (GBS) data: QC, read mapping, SNP calling.
• Genome-wide association studies (GWAS).
• Field evaluation and phenotyping of diverse germplasm.
• Data analysis, interpretation and publication preparation.
• Collaborate with researchers and supervise students.
• Apply for external research funding.

Conocimientos

Genetics & breeding

GBS data

GWAS

Nutritional quality

Multi-omics

R programming

English proficiency

Educación

PhD in plant genetics

Plant breeding

Agriculture

Descripción del empleo

SLU – Swedish University of Agricultural Sciences, Department of Plant Breeding in Alnarp, Sweden, seeks a highly motivated researcher to advance genetics, genomics, and crop improvement. The role focuses on disease resistance and grain nutrient quality in wheat and lentil, employing data-driven approaches and multi-omics integration in a pre-breeding context.

The successful candidate will lead both experimental and analytical work, collaborate across groups, supervise students, and contribute