The Center for Quantitative Genetics and Genomics (QGG) at Aarhus University is seeking two postdoctoral researchers to join their team in the field of sustainable dairy cattle breeding. The positions focus on advancing climate breeding indices, including phenotype definition, integration of novel genetically related traits using digital tools, functional genomic information, and OMICS data to improve genomic predictions. Research areas include feed efficiency, methane emissions, and the development of genetic models for sustainable animal agriculture.

Successful candidates will collaborate with industry partners, participate in ongoing projects, and contribute to teaching and supervision at undergraduate and graduate levels. The roles require a PhD in quantitative genetics, animal breeding, or a related discipline, with experience in scripting languages (R, Python, SAS) and genetic software (DMU, ASReml). Candidates should have a strong publication record, effective teamwork and communication skills, and the ability to interpret biological data for breeding decisions. Experience with microbiome data is a plus but not mandatory.

QGG is an internationally recognized center with a focus on quantitative genetics, genomics, artificial intelligence in agriculture, and precision medicine. The center offers a collaborative and interdisciplinary environment, state-of-the-art research infrastructure, and opportunities for professional development. The positions are full-time, with one lasting two years and the other three years, and are based at Aarhus University's central campus in Denmark.

Salary and employment conditions are determined by collective agreement, with additional support for international researchers and their families. Applicants should submit their application, including a CV, degree certificate, publication list, research plan, and teaching portfolio, via the university's recruitment system by March 15, 2026. For more information, candidates can contact Professor Mogens Sandø Lund or Postdoc Rasmus Bak Stephansen.

Keywords: quantitative genetics, genomics, sustainable cattle breeding, climate breeding indices, phenotype definition, genomic prediction, OMICS, feed efficiency, methane emissions, animal breeding.