PhD Student in Quantitative Genetics | PhD Student (f/m/d)

Job Summary

This doctoral position within the Quantitative Genetics research group focuses on developing advanced statistical genomics toolboxes to decode the genetic architecture of critical crop traits like grain yield and heterosis. As a PhD Student, you will curate large-scale wheat datasets and implement novel algorithms for genome-wide predictions of complex traits, helping to overcome current computational bottlenecks in whole-genome sequencing analysis. The role involves working within a third-party funded research project to mine comprehensive winter-wheat populations. This position is ideal for researchers with a background in plant breeding or biostatistics who are eager to work in a world-class research center. You will benefit from state-of-the-art facilities, a collegial international atmosphere, and flexible working hours under a 3-year contract. The role offers a unique opportunity to contribute to high-impact agricultural science while developing expertise in R or Python-based data analysis within an English-speaking research environment.