An opportunity to join the CerealPath project as an Early Stage Researcher at Universitaet fuer Bodenkultur Wien (BOKU).
The position is co-funded through the CerealPath programme (23 months) with additional funding from BOKU to allow the candidate to complete their work towards the completion of a PhD.
Applications are sought from suitable candidates through the CerealPath Applications Portal. Applications received before 5 pm (GMT) on Friday, 31 March 2017 will receive full consideration but the position will remain open until filled.
Candidates interested in the position are requested to submit an application as soon as possible and the position will be filled when a suitable candidate has been found.
It is hoped that the selected candidate would begin before the end of May 2017.
Since the position is part-funded through CerealPath, the usual Marie Sklowodwska Curie eligibility criteria will apply with respect to mobility and early stage researcher status. Candidates should also make sure that they meet the criteria for taking on doctoral studies at BOKU.
Resistance to Fusarium head blight (FHB) in wheat is governed by multiple loci, many of which have small individual effects. Within the gene discovery and breeding research area, the approach on the one hand is to identify candidate genes and determine their potential to enhance cereal disease resistance, and on the other hand to develop tools for use in breeding. With the advent of modern molecular fingerprinting tools it became feasible to derive genome-wide predictions for complex phenotypes, such as FHB resistance.Each Early Stage Researcher associated with this research area will learn how assess the potential of candidate disease resistance genes. ESR2 will learn in addition how to develop and refine genome-wide prediction tools for polygenic FHB resistance in wheat. ESR2 will combine high-level expertise in statistical genetics with phytopathology and breeding. ESR2 is expected to show a strong interest in statistical genetics, plant breeding and disease resistance. Pre-knowledge in biometrical data analysis of large data sets particularly using the R statistical language is of advantage.
The principal objective of this project is to train ESR2 to determine the genetic architecture of Fusarium resistance using genome-wide high-density DNA markers and field-based phenotypic data obtained on advanced wheat breeding lines. The work involves: field testing and field phenotyping of several 100 wheat lines during three seasons, statistical analysis of field observation data, DNA preparation from all lines, DNA fingerprinting of all lines using SNP markers, data management of field data and genetic fingerprinting data, bio-statistical analysis of phenotypic and genomic data for development, refinement and validation of genome wide predictions of Fusarium resistance.